Relative speed of processing determines color-word contingency learning.

PubMed

Forrin, Noah D; MacLeod, Colin M

2017-10-01

In three experiments, we tested a relative-speed-of-processing account of color-word contingency learning, a phenomenon in which color identification responses to high-contingency stimuli (words that appear most often in particular colors) are faster than those to low-contingency stimuli. Experiment 1 showed equally large contingency-learning effects whether responding was to the colors or to the words, likely due to slow responding to both dimensions because of the unfamiliar mapping required by the key press responses. For Experiment 2, participants switched to vocal responding, in which reading words is considerably faster than naming colors, and we obtained a contingency-learning effect only for color naming, the slower dimension. In Experiment 3, previewing the color information resulted in a reduced contingency-learning effect for color naming, but it enhanced the contingency-learning effect for word reading. These results are all consistent with contingency learning influencing performance only when the nominally irrelevant feature is faster to process than the relevant feature, and therefore are entirely in accord with a relative-speed-of-processing explanation.

Ensuring Quality Assurance in Vocational Education

ERIC Educational Resources Information Center

Idialu, Ethel E.

2013-01-01

Vocational education emphasises skill acquisition. Quality assurance in vocational education is a concept that is concerned with high performance involving activities with vocational education such as teaching, learning, infrastructures, students' behaviour and the entire academic process. Quality vocational education refers to input and output of…

Terrorism drill shows ED response plan flaws.

PubMed

2005-07-01

Valuable lessons can be learned by paying attention to your processes and communication equipment during a disaster drill. Did your radios and pagers work adequately? If not, it may be time for a new vendor. Going through the drill helps remind the entire ED staff to funnel all communications and key decisions through the disaster response leader. Make sure to update your disaster response handbook to reflect important lessons learned during the drill.

Space Shuttle Program Primary Avionics Software System (PASS) Success Legacy -Major Accomplishments and Lessons Learned

NASA Technical Reports Server (NTRS)

Orr, James K.

2010-01-01

This presentation has shown the accomplishments of the PASS project over three decades and highlighted the lessons learned. Over the entire time, our goal has been to continuously improve our process, implement automation for both quality and increased productivity, and identify and remove all defects due to prior execution of a flawed process in addition to improving our processes following identification of significant process escapes. Morale and workforce instability have been issues, most significantly during 1993 to 1998 (period of consolidation in aerospace industry). The PASS project has also consulted with others, including the Software Engineering Institute, so as to be an early evaluator, adopter, and adapter of state-of-the-art software engineering innovations.

The puzzle of Fran: home healthcare in a hurricane.

PubMed

King, D

1998-10-01

A natural disaster in the form of Hurricane Fran resulted not only in stories of ingenuity and compassion, but in a major performance improvement (PI) process for the entire agency. Through this PI process we learned about ourselves as a home health agency and discovered ways to improve our performance. More importantly we discovered ways to improve patient tracking and care during a disaster.

Smart in Everything Except School.

ERIC Educational Resources Information Center

Getman, G. N.

This book focuses on the prevention of academic failure through focus on developmental processes (especially development of essential visual skills) within the individual learner. A distinction is made between sight and vision with vision involving the entire person and his/her learning experiences The first chapter examines "The Dynamics of the…

Production Techniques for Computer-Based Learning Material.

ERIC Educational Resources Information Center

Moonen, Jef; Schoenmaker, Jan

Experiences in the development of educational software in the Netherlands have included the use of individual and team approaches, the determination of software content and how it should be presented, and the organization of the entire development process, from experimental programs to prototype to final product. Because educational software is a…

The beneficial effects of berry fruit on cognitive and neuronal function in aging

USDA-ARS?s Scientific Manuscript database

Research has demonstrated, in both human and animals, that cognition decreases with age, to include deficits in processing speed, executive function, memory, and spatial learning. The cause of these functional declines is not entirely understood; however, neuronal losses and the associated changes i...

Berry fruit can improve age-associated neuronal and cognitive deficits: from the laboratory to the clinic

USDA-ARS?s Scientific Manuscript database

Research has demonstrated, in both human and animals, that cognitive functioning decreases with age, to include deficits in processing speed, executive function, memory, and spatial learning. The cause of these functional declines is not entirely understood; however, neuronal losses and the associat...

Polyphenols found in berry fruit improve age-associated changes in cognitive function and brain inflammation

USDA-ARS?s Scientific Manuscript database

Research has demonstrated, in both human and animals, that cognitive functioning decreases with age, to include deficits in processing speed, executive function, memory, and spatial learning. The cause of these functional declines is not entirely understood; however, neuronal losses and the associat...

What are you trying to learn? Study designs and the appropriate analysis for your research question

USDA-ARS?s Scientific Manuscript database

One fundamental necessity in the entire process of a well-performed study is the experimental design. A well-designed study can help researchers understand and have confidence in their results and analyses, and additionally the agreement or disagreement with the stated hypothesis. This well-designed...

Speak Out (K-8) [and] Election '80.

ERIC Educational Resources Information Center

Illinois State Board of Education, Springfield.

These two teaching guides contain step-by-step procedures for an election education program in which all Illinois school children vote for and elect a State animal. The program, mandated by the Illinois State Legislature, is intended to provide students with the unique opportunity to learn about the entire election process through actual voting…

Controlling Curriculum Redesign with a Process Improvement Model

ERIC Educational Resources Information Center

Drinka, Dennis; Yen, Minnie Yi-Miin

2008-01-01

A portion of the curriculum for a Management Information Systems degree was redesigned to enhance the experiential learning of students by focusing it on a three-semester community-based system development project. The entire curriculum was then redesigned to have a project-centric focus with each course in the curriculum contributing to the…

Engineering Lessons Learned and Systems Engineering Applications

NASA Technical Reports Server (NTRS)

Gill, Paul S.; Garcia, Danny; Vaughan, William W.

2005-01-01

Systems Engineering is fundamental to good engineering, which in turn depends on the integration and application of engineering lessons learned and technical standards. Thus, good Systems Engineering also depends on systems engineering lessons learned from within the aerospace industry being documented and applied. About ten percent of the engineering lessons learned documented in the NASA Lessons Learned Information System are directly related to Systems Engineering. A key issue associated with lessons learned datasets is the communication and incorporation of this information into engineering processes. Systems Engineering has been defined (EINIS-632) as "an interdisciplinary approach encompassing the entire technical effort to evolve and verify an integrated and life-cycle balanced set of system people, product, and process solutions that satisfy customer needs". Designing reliable space-based systems has always been a goal for NASA, and many painful lessons have been learned along the way. One of the continuing functions of a system engineer is to compile development and operations "lessons learned" documents and ensure their integration into future systems development activities. They can produce insights and information for risk identification identification and characterization. on a new project. Lessons learned files from previous projects are especially valuable in risk

Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds

NASA Astrophysics Data System (ADS)

Polewski, Przemyslaw; Yao, Wei; Heurich, Marco; Krzystek, Peter; Stilla, Uwe

2018-06-01

In this study, we present a method for improving the quality of automatic single fallen tree stem segmentation in ALS data by applying a specialized constrained conditional random field (CRF). The entire processing pipeline is composed of two steps. First, short stem segments of equal length are detected and a subset of them is selected for further processing, while in the second step the chosen segments are merged to form entire trees. The first step is accomplished using the specialized CRF defined on the space of segment labelings, capable of finding segment candidates which are easier to merge subsequently. To achieve this, the CRF considers not only the features of every candidate individually, but incorporates pairwise spatial interactions between adjacent segments into the model. In particular, pairwise interactions include a collinearity/angular deviation probability which is learned from training data as well as the ratio of spatial overlap, whereas unary potentials encode a learned probabilistic model of the laser point distribution around each segment. Each of these components enters the CRF energy with its own balance factor. To process previously unseen data, we first calculate the subset of segments for merging on a grid of balance factors by minimizing the CRF energy. Then, we perform the merging and rank the balance configurations according to the quality of their resulting merged trees, obtained from a learned tree appearance model. The final result is derived from the top-ranked configuration. We tested our approach on 5 plots from the Bavarian Forest National Park using reference data acquired in a field inventory. Compared to our previous segment selection method without pairwise interactions, an increase in detection correctness and completeness of up to 7 and 9 percentage points, respectively, was observed.

Enabling the Public to Experience Science from Beginning to End (Invited)

NASA Astrophysics Data System (ADS)

Trouille, L.; Chen, Y.; Lintott, C.; Lynn, S.; Simmons, B.; Smith, A.; Tremonti, C.; Whyte, L.; Willett, K.; Zevin, M.; Science Team; Moderator Team, G.

2013-12-01

In this talk we present the results of an experiment in collaborative research and article writing within the citizen science context. During July-September 2013, astronomers and the Zooniverse team ran Galaxy Zoo Quench (quench.galaxyzoo.org), investigating the mechanism(s) that recently and abruptly shut off star formation in a sample of post-quenched galaxies. Through this project, the public had the opportunity to experience the entire process of science, including galaxy classification, reading background literature, data analysis, discussion, debate, drawing conclusions, and writing an article to submit to a professional journal. The context was galaxy evolution, however, the lessons learned are applicable across the disciplines. The discussion will focus on how to leverage online tools to authentically engage the public in the entire process of science.

Playground Facilities and Equipment. ACSA School Management Digest, Series 1, Number 7. ERIC/CEM Research Analysis Series, Number 34.

ERIC Educational Resources Information Center

Coursen, David

Modern educators and playground designers are increasingly recognizing that play is a part, perhaps the decisive part, of the entire learning process. Theories of playground equipment design, planning the playground, financial considerations, and equipment suggestions are featured in this review. Examples of playgrounds include innovative…

The Journal of Accelerated Learning and Teaching, 1998.

ERIC Educational Resources Information Center

Boy, Nancy Omaha, Ed.

1998-01-01

This document comprises the entire output for the journal for 1998. The first article is in the form of a modified excerpt from an article by Donna I. Ali of the University of Calgary on "Multiple Intelligences and the Writing Process: Some Implications for Teaching." The article investigates why writing is difficult for some and easy for others,…

Exploring a potential energy surface by machine learning for characterizing atomic transport

NASA Astrophysics Data System (ADS)

Kanamori, Kenta; Toyoura, Kazuaki; Honda, Junya; Hattori, Kazuki; Seko, Atsuto; Karasuyama, Masayuki; Shitara, Kazuki; Shiga, Motoki; Kuwabara, Akihide; Takeuchi, Ichiro

2018-03-01

We propose a machine-learning method for evaluating the potential barrier governing atomic transport based on the preferential selection of dominant points for atomic transport. The proposed method generates numerous random samples of the entire potential energy surface (PES) from a probabilistic Gaussian process model of the PES, which enables defining the likelihood of the dominant points. The robustness and efficiency of the method are demonstrated on a dozen model cases for proton diffusion in oxides, in comparison with a conventional nudge elastic band method.

Using machine learning to explore the long-term evolution of GRS 1915+105

NASA Astrophysics Data System (ADS)

Huppenkothen, Daniela; Heil, Lucy M.; Hogg, David W.; Mueller, Andreas

2017-04-01

Among the population of known Galactic black hole X-ray binaries, GRS 1915+105 stands out in multiple ways. It has been in continuous outburst since 1992, and has shown a wide range of different states that can be distinguished by their timing and spectral properties. These states, also observed in IGR J17091-3624, have in the past been linked to accretion dynamics. Here, we present the first comprehensive study into the long-term evolution of GRS 1915+105, using the entire data set observed with Rossi X-ray Timing Explorer over its 16-yr lifetime. We develop a set of descriptive features allowing for automatic separation of states, and show that supervised machine learning in the form of logistic regression and random forests can be used to efficiently classify the entire data set. For the first time, we explore the duty cycle and time evolution of states over the entire 16-yr time span, and find that the temporal distribution of states has likely changed over the span of the observations. We connect the machine classification with physical interpretations of the phenomenology in terms of chaotic and stochastic processes.

The sales learning curve.

PubMed

Leslie, Mark; Holloway, Charles A

2006-01-01

When a company launches a new product into a new market, the temptation is to immediately ramp up sales force capacity to gain customers as quickly as possible. But hiring a full sales force too early just causes the firm to burn through cash and fail to meet revenue expectations. Before it can sell an innovative product efficiently, the entire organization needs to learn how customers will acquire and use it, a process the authors call the sales learning curve. The concept of a learning curve is well understood in manufacturing. Employees transfer knowledge and experience back and forth between the production line and purchasing, manufacturing, engineering, planning, and operations. The sales learning curve unfolds similarly through the give-and-take between the company--marketing, sales, product support, and product development--and its customers. As customers adopt the product, the firm modifies both the offering and the processes associated with making and selling it. Progress along the manufacturing curve is measured by tracking cost per unit: The more a firm learns about the manufacturing process, the more efficient it becomes, and the lower the unit cost goes. Progress along the sales learning curve is measured in an analogous way: The more a company learns about the sales process, the more efficient it becomes at selling, and the higher the sales yield. As the sales yield increases, the sales learning process unfolds in three distinct phases--initiation, transition, and execution. Each phase requires a different size--and kind--of sales force and represents a different stage in a company's production, marketing, and sales strategies. Adjusting those strategies as the firm progresses along the sales learning curve allows managers to plan resource allocation more accurately, set appropriate expectations, avoid disastrous cash shortfalls, and reduce both the time and money required to turn a profit.

Neural mechanisms of human perceptual learning: electrophysiological evidence for a two-stage process.

PubMed

Hamamé, Carlos M; Cosmelli, Diego; Henriquez, Rodrigo; Aboitiz, Francisco

2011-04-26

Humans and other animals change the way they perceive the world due to experience. This process has been labeled as perceptual learning, and implies that adult nervous systems can adaptively modify the way in which they process sensory stimulation. However, the mechanisms by which the brain modifies this capacity have not been sufficiently analyzed. We studied the neural mechanisms of human perceptual learning by combining electroencephalographic (EEG) recordings of brain activity and the assessment of psychophysical performance during training in a visual search task. All participants improved their perceptual performance as reflected by an increase in sensitivity (d') and a decrease in reaction time. The EEG signal was acquired throughout the entire experiment revealing amplitude increments, specific and unspecific to the trained stimulus, in event-related potential (ERP) components N2pc and P3 respectively. P3 unspecific modification can be related to context or task-based learning, while N2pc may be reflecting a more specific attentional-related boosting of target detection. Moreover, bell and U-shaped profiles of oscillatory brain activity in gamma (30-60 Hz) and alpha (8-14 Hz) frequency bands may suggest the existence of two phases for learning acquisition, which can be understood as distinctive optimization mechanisms in stimulus processing. We conclude that there are reorganizations in several neural processes that contribute differently to perceptual learning in a visual search task. We propose an integrative model of neural activity reorganization, whereby perceptual learning takes place as a two-stage phenomenon including perceptual, attentional and contextual processes.

Design and fabrication of self-assembled thin films

NASA Astrophysics Data System (ADS)

Topasna, Daniela M.; Topasna, Gregory A.

2015-10-01

Students experience the entire process of designing, fabricating and testing thin films during their capstone course. The films are fabricated by the ionic-self assembled monolayer (ISAM) technique, which is suited to a short class and is relatively rapid, inexpensive and environmentally friendly. The materials used are polymers, nanoparticles, and small organic molecules that, in various combinations, can create films with nanometer thickness and with specific properties. These films have various potential applications such as pH optical sensors or antibacterial coatings. This type of project offers students an opportunity to go beyond the standard lecture and labs and to experience firsthand the design and fabrication processes. They learn new techniques and procedures, as well as familiarize themselves with new instruments and optical equipment. For example, students learn how to characterize the films by using UV-Vis-NIR spectrophotometry and in the process learn how the instruments operate. This work compliments a previous exercise that we introduced where students use MATHCAD to numerically model the transmission and reflection of light from thin films.

Teaching Excellence and Innovative Practices: A Case Study of National Awardee Teachers of India

ERIC Educational Resources Information Center

Sengupta, Aparajita; Tyagi, Harish Kumar

2016-01-01

Aim: The study intended to identify the contributions of the National awardee teachers to the teaching learning process through their teaching excellence and innovative practices which can act as exemplary model for the entire teaching community. Method: Attempts has been made to carry out a qualitative study where two selected cases are based on…

Designing and Proposing Your Research Project. Concise Guides to Conducting Behavioral, Health, and Social Science Research Series

ERIC Educational Resources Information Center

Urban, Jennifer Brown; van Eeden-Moorefield, Bradley Matheus

2017-01-01

Designing your own study and writing your research proposal takes time, often more so than conducting the study. This practical, accessible guide walks you through the entire process. You will learn to identify and narrow your research topic, develop your research question, design your study, and choose appropriate sampling and measurement…

Incorporating learning goals about modeling into an upper-division physics laboratory experiment

NASA Astrophysics Data System (ADS)

Zwickl, Benjamin M.; Finkelstein, Noah; Lewandowski, H. J.

2014-09-01

Implementing a laboratory activity involves a complex interplay among learning goals, available resources, feedback about the existing course, best practices for teaching, and an overall philosophy about teaching labs. Building on our previous work, which described a process of transforming an entire lab course, we now turn our attention to how an individual lab activity on the polarization of light was redesigned to include a renewed emphasis on one broad learning goal: modeling. By using this common optics lab as a concrete case study of a broadly applicable approach, we highlight many aspects of the activity development and show how modeling is used to integrate sophisticated conceptual and quantitative reasoning into the experimental process through the various aspects of modeling: constructing models, making predictions, interpreting data, comparing measurements with predictions, and refining models. One significant outcome is a natural way to integrate an analysis and discussion of systematic error into a lab activity.

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach.

PubMed

Albadr, Musatafa Abbas Abbood; Tiun, Sabrina; Al-Dhief, Fahad Taha; Sammour, Mahmoud A M

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%.

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach

PubMed Central

Tiun, Sabrina; AL-Dhief, Fahad Taha; Sammour, Mahmoud A. M.

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%. PMID:29672546

New Techniques for Deep Learning with Geospatial Data using TensorFlow, Earth Engine, and Google Cloud Platform

NASA Astrophysics Data System (ADS)

Hancher, M.

2017-12-01

Recent years have seen promising results from many research teams applying deep learning techniques to geospatial data processing. In that same timeframe, TensorFlow has emerged as the most popular framework for deep learning in general, and Google has assembled petabytes of Earth observation data from a wide variety of sources and made them available in analysis-ready form in the cloud through Google Earth Engine. Nevertheless, developing and applying deep learning to geospatial data at scale has been somewhat cumbersome to date. We present a new set of tools and techniques that simplify this process. Our approach combines the strengths of several underlying tools: TensorFlow for its expressive deep learning framework; Earth Engine for data management, preprocessing, postprocessing, and visualization; and other tools in Google Cloud Platform to train TensorFlow models at scale, perform additional custom parallel data processing, and drive the entire process from a single familiar Python development environment. These tools can be used to easily apply standard deep neural networks, convolutional neural networks, and other custom model architectures to a variety of geospatial data structures. We discuss our experiences applying these and related tools to a range of machine learning problems, including classic problems like cloud detection, building detection, land cover classification, as well as more novel problems like illegal fishing detection. Our improved tools will make it easier for geospatial data scientists to apply modern deep learning techniques to their own problems, and will also make it easier for machine learning researchers to advance the state of the art of those techniques.

Website Redesign: A Case Study.

PubMed

Wu, Jin; Brown, Janis F

2016-01-01

A library website redesign is a complicated and at times arduous task, requiring many different steps including determining user needs, analyzing past user behavior, examining other websites, defining design preferences, testing, marketing, and launching the site. Many different types of expertise are required over the entire process. Lessons learned from the Norris Medical Library's experience with the redesign effort may be useful to others undertaking a similar project.

Response to Intervention and Continuous School Improvement: Using Data, Vision, and Leadership to Design, Implement, and Evaluate a Schoolwide Prevention System

ERIC Educational Resources Information Center

Bernhardt, Victoria L.; Hebert, Connie L.

2011-01-01

Ensure the success of your school and improve the learning of "all" students by implementing Response-to-Intervention (RTI) as part of a continuous school improvement (CSI) process. This book shows you how to get your entire staff working together to design, implement, and evaluate a schoolwide prevention system. With specific examples, CSI expert…

Recognition of psychotherapy effectiveness: the APA resolution.

PubMed

Campbell, Linda F; Norcross, John C; Vasquez, Melba J T; Kaslow, Nadine J

2013-03-01

In August 2012, the American Psychological Association (APA) Council of Representatives voted overwhelmingly to adopt as APA policy a Resolution on the Recognition of Psychotherapy Effectiveness. This invited article traces the origins and intentions of that resolution and its protracted journey through the APA governance labyrinth. We summarize the planned dissemination and projected results of the resolution and identify several lessons learned through the entire process.

CFD Modeling of Water Flow through Sudden Contraction and Expansion in a Horizontal Pipe

ERIC Educational Resources Information Center

Kaushik, V. V. R.; Ghosh, S.; Das, G.; Das, P. K.

2011-01-01

This paper deals with the use of commercial CFD software in teaching graduate level computational fluid dynamics. FLUENT 6.3.26 was chosen as the CFD software to teach students the entire CFD process in a single course. The course objective is to help students to learn CFD, use it in some practical problems and analyze as well as validate the…

Visual Purple, the Next Generation Crisis Management Decision Training Tool

DTIC Science & Technology

2001-09-01

talents of professional Hollywood screenwriters during the scripting and writing process of the simulations. Additionally, cinematic techniques learned...cultural, and language experts for research development. Additionally, GTA provides country specific support in script writing and cinematic resources as...The result is an entirely new dimension of realism that traditional exercises often fail to capture. The scenario requires the participant to make the

The Adventures of a Guinea Pig: Sharing a Class Pet with Children and Their Families.

ERIC Educational Resources Information Center

Boyer, Becky

2000-01-01

Recounts the use of pets in a kindergarten classroom for children to experience pet ownership and to share the care of animals. Outlines the entire process of pet selection, program implementation, and reactions to the program. Notes that in addition to exposure to pet care, children quickly learned the days of the week and recycling concepts. (SD)

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture.

PubMed

Chen, C L Philip; Liu, Zhulin

2018-01-01

Broad Learning System (BLS) that aims to offer an alternative way of learning in deep structure is proposed in this paper. Deep structure and learning suffer from a time-consuming training process because of a large number of connecting parameters in filters and layers. Moreover, it encounters a complete retraining process if the structure is not sufficient to model the system. The BLS is established in the form of a flat network, where the original inputs are transferred and placed as "mapped features" in feature nodes and the structure is expanded in wide sense in the "enhancement nodes." The incremental learning algorithms are developed for fast remodeling in broad expansion without a retraining process if the network deems to be expanded. Two incremental learning algorithms are given for both the increment of the feature nodes (or filters in deep structure) and the increment of the enhancement nodes. The designed model and algorithms are very versatile for selecting a model rapidly. In addition, another incremental learning is developed for a system that has been modeled encounters a new incoming input. Specifically, the system can be remodeled in an incremental way without the entire retraining from the beginning. Satisfactory result for model reduction using singular value decomposition is conducted to simplify the final structure. Compared with existing deep neural networks, experimental results on the Modified National Institute of Standards and Technology database and NYU NORB object recognition dataset benchmark data demonstrate the effectiveness of the proposed BLS.

Machine learning applications in proteomics research: how the past can boost the future.

PubMed

Kelchtermans, Pieter; Bittremieux, Wout; De Grave, Kurt; Degroeve, Sven; Ramon, Jan; Laukens, Kris; Valkenborg, Dirk; Barsnes, Harald; Martens, Lennart

2014-03-01

Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms that allow computers to learn solving a (complex) problem from existing data. This ability can be used to generate a solution to a particularly intractable problem, given that enough data are available to train and subsequently evaluate an algorithm on. Since MS-based proteomics has no shortage of complex problems, and since publicly available data are becoming available in ever growing amounts, machine learning is fast becoming a very popular tool in the field. We here therefore present an overview of the different applications of machine learning in proteomics that together cover nearly the entire wet- and dry-lab workflow, and that address key bottlenecks in experiment planning and design, as well as in data processing and analysis. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Stably maintained dendritic spines are associated with lifelong memories

PubMed Central

Yang, Guang; Pan, Feng; Gan, Wen-Biao

2016-01-01

Changes in synaptic connections are considered essential for learning and memory formation1–6. However, it is unknown how neural circuits undergo continuous synaptic changes during learning while maintaining lifelong memories. Here we show, by following postsynaptic dendritic spines over time in the mouse cortex7–8, that learning and novel sensory experience lead to spine formation and elimination by a protracted process. The extent of spine remodelling correlates with behavioural improvement after learning, suggesting a crucial role of synaptic structural plasticity in memory formation and storage. Importantly, a small fraction of new spines induced by novel experience, together with most spines formed early during development and surviving experience-dependent elimination, are preserved throughout the entire life of an animal. These studies indicate that learning and daily sensory experience leave minute but permanent marks on cortical connections and suggest that lifelong memories are stored in largely stably connected synaptic networks. PMID:19946265

Neural Basis of Reinforcement Learning and Decision Making

PubMed Central

Lee, Daeyeol; Seo, Hyojung; Jung, Min Whan

2012-01-01

Reinforcement learning is an adaptive process in which an animal utilizes its previous experience to improve the outcomes of future choices. Computational theories of reinforcement learning play a central role in the newly emerging areas of neuroeconomics and decision neuroscience. In this framework, actions are chosen according to their value functions, which describe how much future reward is expected from each action. Value functions can be adjusted not only through reward and penalty, but also by the animal’s knowledge of its current environment. Studies have revealed that a large proportion of the brain is involved in representing and updating value functions and using them to choose an action. However, how the nature of a behavioral task affects the neural mechanisms of reinforcement learning remains incompletely understood. Future studies should uncover the principles by which different computational elements of reinforcement learning are dynamically coordinated across the entire brain. PMID:22462543

Reinvisioning and redesigning “a library for the fifteenth through twenty-first centuries”: a case study on loss of space from the Library and Center for Knowledge Management, University of California, San Francisco*

PubMed Central

Persily, Gail L.; Butter, Karen A.

2010-01-01

The University of California, San Francisco, is an academic health sciences campus that is part of a state public university system. Space is very limited at this urban campus, and the library building's 90,000 square feet represent extremely valuable real estate. A planning process spanning several years initially proposed creating new teaching space utilizing 10,000 square feet of the library. A collaborative campus-wide planning process eventually resulted in the design of a new teaching and learning center that integrates clinical skills, simulation, and technology-enhanced education facilties on one entire floor of the building (21,000 square feet). The planning process resulted in a project that serves the entire campus and strengthens the library's role in the education mission. The full impact of the project is yet unknown as construction is not complete. PMID:20098654

Temperature dependency in motor skill learning.

PubMed

Immink, Maarten A; Wright, David L; Barnes, William S

2012-01-01

The present study investigated the role of temperature as a contextual condition for motor skill learning. Precision grip task training occurred while forearm cutaneous temperature was either heated (40-45 °C) or cooled (10-15 °C). At test, temperature was either reinstated or changed. Performance was comparable between training conditions while at test, temperature changes decreased accuracy, especially after hot training conditions. After cold training, temperature change deficits were only evident when concurrent force feedback was presented. These findings are the first evidence of localized temperature dependency in motor skill learning in humans. Results are not entirely accounted for by a context-dependent memory explanation and appear to represent an interaction of neuromuscular and sensory processes with the temperature present during training and test.

Trial-and-error copying of demonstrated actions reveals how fledglings learn to ‘imitate’ their mothers

PubMed Central

Lotem, Arnon

2017-01-01

Understanding how humans and other animals learn to perform an act from seeing it done has been a major challenge in the study of social learning. To determine whether this ability is based on ‘true imitation’, many studies have applied the two-action experimental paradigm, examining whether subjects learn to perform the specific action demonstrated to them. Here, we show that the insights gained from animals' success in two-action experiments may be limited, and that a better understanding is achieved by monitoring subjects' entire behavioural repertoire. Hand-reared house sparrows that followed a model of a mother demonstrator were successful in learning to find seeds hidden under a leaf, using the action demonstrated by the mother (either pushing the leaf or pecking it). However, they also produced behaviours that had not been demonstrated but were nevertheless related to the demonstrated act. This finding suggests that while the learners were clearly influenced by the demonstrator, they did not accurately imitate her. Rather, they used their own behavioural repertoire, gradually fitting it to the demonstrated task solution through trial and error. This process is consistent with recent views on how animals learn to imitate, and may contribute to a unified process-level analysis of social learning mechanisms. PMID:28228516

Working Memory Contributions to Reinforcement Learning Impairments in Schizophrenia

PubMed Central

Brown, Jaime K.; Gold, James M.; Waltz, James A.; Frank, Michael J.

2014-01-01

Previous research has shown that patients with schizophrenia are impaired in reinforcement learning tasks. However, behavioral learning curves in such tasks originate from the interaction of multiple neural processes, including the basal ganglia- and dopamine-dependent reinforcement learning (RL) system, but also prefrontal cortex-dependent cognitive strategies involving working memory (WM). Thus, it is unclear which specific system induces impairments in schizophrenia. We recently developed a task and computational model allowing us to separately assess the roles of RL (slow, cumulative learning) mechanisms versus WM (fast but capacity-limited) mechanisms in healthy adult human subjects. Here, we used this task to assess patients' specific sources of impairments in learning. In 15 separate blocks, subjects learned to pick one of three actions for stimuli. The number of stimuli to learn in each block varied from two to six, allowing us to separate influences of capacity-limited WM from the incremental RL system. As expected, both patients (n = 49) and healthy controls (n = 36) showed effects of set size and delay between stimulus repetitions, confirming the presence of working memory effects. Patients performed significantly worse than controls overall, but computational model fits and behavioral analyses indicate that these deficits could be entirely accounted for by changes in WM parameters (capacity and reliability), whereas RL processes were spared. These results suggest that the working memory system contributes strongly to learning impairments in schizophrenia. PMID:25297101

VAMPnets for deep learning of molecular kinetics.

PubMed

Mardt, Andreas; Pasquali, Luca; Wu, Hao; Noé, Frank

2018-01-02

There is an increasing demand for computing the relevant structures, equilibria, and long-timescale kinetics of biomolecular processes, such as protein-drug binding, from high-throughput molecular dynamics simulations. Current methods employ transformation of simulated coordinates into structural features, dimension reduction, clustering the dimension-reduced data, and estimation of a Markov state model or related model of the interconversion rates between molecular structures. This handcrafted approach demands a substantial amount of modeling expertise, as poor decisions at any step will lead to large modeling errors. Here we employ the variational approach for Markov processes (VAMP) to develop a deep learning framework for molecular kinetics using neural networks, dubbed VAMPnets. A VAMPnet encodes the entire mapping from molecular coordinates to Markov states, thus combining the whole data processing pipeline in a single end-to-end framework. Our method performs equally or better than state-of-the-art Markov modeling methods and provides easily interpretable few-state kinetic models.

Missing the Mark: Is ICS Training Achieving Its Goal

DTIC Science & Technology

2016-12-01

method achieves learning and actually gives students new knowledge, skills, and 281 Ibid. 282 Ibid...designed to be five days (40 hours) long.331 The class assumes that the student already has a general understanding of ICS and completion of at least...35–37. 64 The entire process is time consuming, as the student must complete the in- class time (as required for the specific class ) and

Large-Scale Image Analytics Using Deep Learning

NASA Astrophysics Data System (ADS)

Ganguly, S.; Nemani, R. R.; Basu, S.; Mukhopadhyay, S.; Michaelis, A.; Votava, P.

2014-12-01

High resolution land cover classification maps are needed to increase the accuracy of current Land ecosystem and climate model outputs. Limited studies are in place that demonstrates the state-of-the-art in deriving very high resolution (VHR) land cover products. In addition, most methods heavily rely on commercial softwares that are difficult to scale given the region of study (e.g. continents to globe). Complexities in present approaches relate to (a) scalability of the algorithm, (b) large image data processing (compute and memory intensive), (c) computational cost, (d) massively parallel architecture, and (e) machine learning automation. In addition, VHR satellite datasets are of the order of terabytes and features extracted from these datasets are of the order of petabytes. In our present study, we have acquired the National Agricultural Imaging Program (NAIP) dataset for the Continental United States at a spatial resolution of 1-m. This data comes as image tiles (a total of quarter million image scenes with ~60 million pixels) and has a total size of ~100 terabytes for a single acquisition. Features extracted from the entire dataset would amount to ~8-10 petabytes. In our proposed approach, we have implemented a novel semi-automated machine learning algorithm rooted on the principles of "deep learning" to delineate the percentage of tree cover. In order to perform image analytics in such a granular system, it is mandatory to devise an intelligent archiving and query system for image retrieval, file structuring, metadata processing and filtering of all available image scenes. Using the Open NASA Earth Exchange (NEX) initiative, which is a partnership with Amazon Web Services (AWS), we have developed an end-to-end architecture for designing the database and the deep belief network (following the distbelief computing model) to solve a grand challenge of scaling this process across quarter million NAIP tiles that cover the entire Continental United States. The AWS core components that we use to solve this problem are DynamoDB along with S3 for database query and storage, ElastiCache shared memory architecture for image segmentation, Elastic Map Reduce (EMR) for image feature extraction, and the memory optimized Elastic Cloud Compute (EC2) for the learning algorithm.

Dying scenarios improve recall as much as survival scenarios.

PubMed

Burns, Daniel J; Hart, Joshua; Kramer, Melanie E

2014-01-01

Merely contemplating one's death improves retention for entirely unrelated material learned subsequently. This "dying to remember" effect seems conceptually related to the survival processing effect, whereby processing items for their relevance to being stranded in the grasslands leads to recall superior to that of other deep processing control conditions. The present experiments directly compared survival processing scenarios with "death processing" scenarios. Results showed that when the survival and dying scenarios are closely matched on key dimensions, and possible congruency effects are controlled, the dying and survival scenarios produced equivalently high recall levels. We conclude that the available evidence (cf. Bell, Roer, & Buchner, 2013; Klein, 2012), while not definitive, is consistent with the possibility of overlapping mechanisms.

Tensor Dictionary Learning for Positive Definite Matrices.

PubMed

Sivalingam, Ravishankar; Boley, Daniel; Morellas, Vassilios; Papanikolopoulos, Nikolaos

2015-11-01

Sparse models have proven to be extremely successful in image processing and computer vision. However, a majority of the effort has been focused on sparse representation of vectors and low-rank models for general matrices. The success of sparse modeling, along with popularity of region covariances, has inspired the development of sparse coding approaches for these positive definite descriptors. While in earlier work, the dictionary was formed from all, or a random subset of, the training signals, it is clearly advantageous to learn a concise dictionary from the entire training set. In this paper, we propose a novel approach for dictionary learning over positive definite matrices. The dictionary is learned by alternating minimization between sparse coding and dictionary update stages, and different atom update methods are described. A discriminative version of the dictionary learning approach is also proposed, which simultaneously learns dictionaries for different classes in classification or clustering. Experimental results demonstrate the advantage of learning dictionaries from data both from reconstruction and classification viewpoints. Finally, a software library is presented comprising C++ binaries for all the positive definite sparse coding and dictionary learning approaches presented here.

Emergence of Virtual Reality as a Tool for Upper Limb Rehabilitation: Incorporation of Motor Control and Motor Learning Principles

PubMed Central

Weiss, Patrice L.; Keshner, Emily A.

2015-01-01

The primary focus of rehabilitation for individuals with loss of upper limb movement as a result of acquired brain injury is the relearning of specific motor skills and daily tasks. This relearning is essential because the loss of upper limb movement often results in a reduced quality of life. Although rehabilitation strives to take advantage of neuroplastic processes during recovery, results of traditional approaches to upper limb rehabilitation have not entirely met this goal. In contrast, enriched training tasks, simulated with a wide range of low- to high-end virtual reality–based simulations, can be used to provide meaningful, repetitive practice together with salient feedback, thereby maximizing neuroplastic processes via motor learning and motor recovery. Such enriched virtual environments have the potential to optimize motor learning by manipulating practice conditions that explicitly engage motivational, cognitive, motor control, and sensory feedback–based learning mechanisms. The objectives of this article are to review motor control and motor learning principles, to discuss how they can be exploited by virtual reality training environments, and to provide evidence concerning current applications for upper limb motor recovery. The limitations of the current technologies with respect to their effectiveness and transfer of learning to daily life tasks also are discussed. PMID:25212522

An Application of Educational Theories and Principles of Teaching and Learning Communication Skills for General Practitioners in Oman

PubMed Central

Al-Wahaibi, Ahmed; Almahrezi, Abdulaziz

2009-01-01

This article discusses the crucial role of teaching and learning communication skills for general practitioners, based on the theory of experiential and self-directed learning. It also outlines the proposed ways and methods to teach these communication skills in this project. The patient-doctor interview or what is known as office visit in some countries and consultation in others is the cornerstone of the entire General Practice (GP) or Family Medicine. It is from this process and outcome that the reputation is gained or destroyed. The analysis of the consultation is complicated and varied but is most usefully employed to assess effecacy in terms of achieving the means that are mutually desired by patients and their carers. PMID:22334856

Evaluation of a case-based urology learning program.

PubMed

Mishra, Kirtishri; Snow-Lisy, Devon C; Ross, Jonathan; Goldfarb, David A; Goldman, Howard; Campbell, Steven C

2013-12-01

To address the challenges that today's trainees encounter, such as information overload and reduced immersion in the field, and recognizing their preference for novel educational resources, an electronic case-based urology learning program was developed. Each case was designed to illustrate the basic principles of the disease process and the fundamentals of evaluation and management using the Socratic method, recapitulating a prototypical patient encounter. A 21-question survey was developed after review of published reports of classroom and clinical learning environment surveys. The target group was 2 pilot urology training programs (the Cleveland Clinic and University Hospitals-Case Medical Center). The responses were entirely anonymous. A total of 32 trainees participated (8 fellows and 24 residents), representing a 53% response rate. Most trainees (79%) were able to process cases within an average of ≤ 10 minutes. Of the trainees, 91% reported referring back to particular cases for patient care, to review for examinations, or for studying. Most trainees believed a case-based urology learning program would be a potentially important resource for clinical practice (69%) and for preparing for the in-service (63%) or board (69%) examinations. Most trainees believed the program met its goals of illustrating the basics principles of the disease process (88%), outlining the fundamentals of evaluation and management (94%), and improving the trainees' knowledge base (91%). An electronic case-based urology learning program is feasible and useful and stimulates learning at all trainee levels. Copyright © 2013 Elsevier Inc. All rights reserved.

Predicting the integration of overlapping memories by decoding mnemonic processing states during learning

PubMed Central

Richter, Franziska R.; Chanales, Avi J. H.; Kuhl, Brice A.

2015-01-01

The hippocampal memory system is thought to alternate between two opposing processing states: encoding and retrieval. When present experience overlaps with past experience, this creates a potential tradeoff between encoding the present and retrieving the past. This tradeoff may be resolved by memory integration—that is, by forming a mnemonic representation that links present experience with overlapping past experience. Here, we used fMRI decoding analyses to predict when—and establish how—past and present experiences become integrated in memory. In an initial experiment, we alternately instructed subjects to adopt encoding, retrieval or integration states during overlapping learning. We then trained across-subject pattern classifiers to ‘read out’ the instructed processing states from fMRI activity patterns. We show that an integration state was clearly dissociable from encoding or retrieval states. Moreover, trial-by-trial fluctuations in decoded evidence for an integration state during learning reliably predicted behavioral expressions of successful memory integration. Strikingly, the decoding algorithm also successfully predicted specific instances of spontaneous memory integration in an entirely independent sample of subjects for whom processing state instructions were not administered. Finally, we show that medial prefrontal cortex and hippocampus differentially contribute to encoding, retrieval, and integration states: whereas hippocampus signals the tradeoff between encoding vs. retrieval states, medial prefrontal cortex actively represents past experience in relation to new learning. PMID:26327243

Working memory contributions to reinforcement learning impairments in schizophrenia.

PubMed

Collins, Anne G E; Brown, Jaime K; Gold, James M; Waltz, James A; Frank, Michael J

2014-10-08

Previous research has shown that patients with schizophrenia are impaired in reinforcement learning tasks. However, behavioral learning curves in such tasks originate from the interaction of multiple neural processes, including the basal ganglia- and dopamine-dependent reinforcement learning (RL) system, but also prefrontal cortex-dependent cognitive strategies involving working memory (WM). Thus, it is unclear which specific system induces impairments in schizophrenia. We recently developed a task and computational model allowing us to separately assess the roles of RL (slow, cumulative learning) mechanisms versus WM (fast but capacity-limited) mechanisms in healthy adult human subjects. Here, we used this task to assess patients' specific sources of impairments in learning. In 15 separate blocks, subjects learned to pick one of three actions for stimuli. The number of stimuli to learn in each block varied from two to six, allowing us to separate influences of capacity-limited WM from the incremental RL system. As expected, both patients (n = 49) and healthy controls (n = 36) showed effects of set size and delay between stimulus repetitions, confirming the presence of working memory effects. Patients performed significantly worse than controls overall, but computational model fits and behavioral analyses indicate that these deficits could be entirely accounted for by changes in WM parameters (capacity and reliability), whereas RL processes were spared. These results suggest that the working memory system contributes strongly to learning impairments in schizophrenia. Copyright © 2014 the authors 0270-6474/14/3413747-10$15.00/0.

The desktop interface in intelligent tutoring systems

NASA Technical Reports Server (NTRS)

Baudendistel, Stephen; Hua, Grace

1987-01-01

The interface between an Intelligent Tutoring System (ITS) and the person being tutored is critical to the success of the learning process. If the interface to the ITS is confusing or non-supportive of the tutored domain, the effectiveness of the instruction will be diminished or lost entirely. Consequently, the interface to an ITS should be highly integrated with the domain to provide a robust and semantically rich learning environment. In building an ITS for ZetaLISP on a LISP Machine, a Desktop Interface was designed to support a programming learning environment. Using the bitmapped display, windows, and mouse, three desktops were designed to support self-study and tutoring of ZetaLISP. Through organization, well-defined boundaries, and domain support facilities, the desktops provide substantial flexibility and power for the student and facilitate learning ZetaLISP programming while screening the student from the complex LISP Machine environment. The student can concentrate on learning ZetaLISP programming and not on how to operate the interface or a LISP Machine.

Innovative educational methods and technologies applicable to continuing professional development in periodontology.

PubMed

Mattheos, N; Schoonheim-Klein, M; Walmsley, A D; Chapple, I L C

2010-05-01

Continuous professional development (CPD) in Periodontology refers to the overall framework of opportunities that facilitate a life-long learning practice, driven by the learner-practitioner and supported by a variety of institutions and individuals. CPD must address different needs for a great diversity of practitioners. It is clear that no particular methodology or technology is able to successfully accommodate the entire spectrum of CPD in Periodontology. Course designers must choose from and combine a wide array of methodologies and technologies, depending upon the needs of the learners and the objectives of the intended education. Research suggests that 'interactivity', 'flexibility', 'continuity' and 'relevance to learners' practice' are major characteristics of successful CPD. Various methods of mentoring, peer-learning environments and work-based learning have been combined with reflective practice and self-study to form the methodological backbone of CPD courses. Blended learning encompasses a wide array of technologies and methodologies and has been successfully used in CPD courses. Internet-based content learning management systems, portable Internet devices, powerful databases and search engines, together with initiatives such as 'open access' and 'open courseware' provide an array of effective instructional and communication tools. Assessment remains a key issue in CPD, providing learners with valuable feedback and it ensures the credibility and effectiveness of the learning process. Assessment is a multi-level process using different methods for different learning outcomes, as directed by current evidence and best practices. Finally, quality assurance of the education provided must follow CPD courses at all times through a structured and credible process.

An application of computer aided requirements analysis to a real time deep space system

NASA Technical Reports Server (NTRS)

Farny, A. M.; Morris, R. V.; Hartsough, C.; Callender, E. D.; Teichroew, D.; Chikofsky, E.

1981-01-01

The entire procedure of incorporating the requirements and goals of a space flight project into integrated, time ordered sequences of spacecraft commands, is called the uplink process. The Uplink Process Control Task (UPCT) was created to examine the uplink process and determine ways to improve it. The Problem Statement Language/Problem Statement Analyzer (PSL/PSA) designed to assist the designer/analyst/engineer in the preparation of specifications of an information system is used as a supporting tool to aid in the analysis. Attention is given to a definition of the uplink process, the definition of PSL/PSA, the construction of a PSA database, the value of analysis to the study of the uplink process, and the PSL/PSA lessons learned.

Personalized summarization using user preference for m-learning

NASA Astrophysics Data System (ADS)

Lee, Sihyoung; Yang, Seungji; Ro, Yong Man; Kim, Hyoung Joong

2008-02-01

As the Internet and multimedia technology is becoming advanced, the number of digital multimedia contents is also becoming abundant in learning area. In order to facilitate the access of digital knowledge and to meet the need of a lifelong learning, e-learning could be the helpful alternative way to the conventional learning paradigms. E-learning is known as a unifying term to express online, web-based and technology-delivered learning. Mobile-learning (m-learning) is defined as e-learning through mobile devices using wireless transmission. In a survey, more than half of the people remarked that the re-consumption was one of the convenient features in e-learning. However, it is not easy to find user's preferred segmentation from a full version of lengthy e-learning content. Especially in m-learning, a content-summarization method is strongly required because mobile devices are limited to low processing power and battery capacity. In this paper, we propose a new user preference model for re-consumption to construct personalized summarization for re-consumption. The user preference for re-consumption is modeled based on user actions with statistical model. Based on the user preference model for re-consumption with personalized user actions, our method discriminates preferred parts over the entire content. Experimental results demonstrated successful personalized summarization.

Learning organizations, internal marketing, and organizational commitment in hospitals.

PubMed

Tsai, Yafang

2014-04-04

Knowledge capital is becoming more important to healthcare establishments, especially for hospitals that are facing changing societal and industrial patterns. Hospital staff must engage in a process of continual learning to improve their healthcare skills and provide a superior service to their patients. Internal marketing helps hospital administrators to improve the quality of service provided by nursing staff to their patients and allows hospitals to build a learning culture and enhance the organizational commitment of its nursing staff. Our empirical study provides nursing managers with a tool to allow them to initiate a change in the attitudes of nurses towards work, by constructing a new 'learning organization' and using effective internal marketing. A cross-sectional design was employed. Two hundred questionnaires were distributed to nurses working in either a medical centre or a regional hospital in Taichung City, Taiwan, and 114 valid questionnaires were returned (response rate: 57%). The entire process of distribution and returns was completed between 1 October and 31 October 2009. Hypothesis testing was conducted using structural equation modelling. A significant positive correlation was found between the existence of a 'learning organization', internal marketing, and organizational commitment. Internal marketing was a mediator between creating a learning organization and organizational commitment. Nursing managers may be able to apply the creation of a learning organization to strategies that can strengthen employee organizational commitment. Further, when promoting the creation of a learning organization, managers can coordinate their internal marketing practices to enhance the organizational commitment of nurses.

Exploring MEDLINE Space with Random Indexing and Pathfinder Networks

PubMed Central

Cohen, Trevor

2008-01-01

The integration of disparate research domains is a prerequisite for the success of the translational science initiative. MEDLINE abstracts contain content from a broad range of disciplines, presenting an opportunity for the development of methods able to integrate the knowledge they contain. Latent Semantic Analysis (LSA) and related methods learn human-like associations between terms from unannotated text. However, their computational and memory demands limits their ability to address a corpus of this size. Furthermore, visualization methods previously used in conjunction with LSA have limited ability to define the local structure of the associative networks LSA learns. This paper explores these issues by (1) processing the entire MEDLINE corpus using Random Indexing, a variant of LSA, and (2) exploring learned associations using Pathfinder Networks. Meaningful associations are inferred from MEDLINE, including a drug-disease association undetected by PUBMED search. PMID:18999236

Exploring MEDLINE space with random indexing and pathfinder networks.

PubMed

Cohen, Trevor

2008-11-06

The integration of disparate research domains is a prerequisite for the success of the translational science initiative. MEDLINE abstracts contain content from a broad range of disciplines, presenting an opportunity for the development of methods able to integrate the knowledge they contain. Latent Semantic Analysis (LSA) and related methods learn human-like associations between terms from unannotated text. However, their computational and memory demands limits their ability to address a corpus of this size. Furthermore, visualization methods previously used in conjunction with LSA have limited ability to define the local structure of the associative networks LSA learns. This paper explores these issues by (1) processing the entire MEDLINE corpus using Random Indexing, a variant of LSA, and (2) exploring learned associations using Pathfinder Networks. Meaningful associations are inferred from MEDLINE, including a drug-disease association undetected by PUBMED search.

Context-dependent decision-making: a simple Bayesian model

PubMed Central

Lloyd, Kevin; Leslie, David S.

2013-01-01

Many phenomena in animal learning can be explained by a context-learning process whereby an animal learns about different patterns of relationship between environmental variables. Differentiating between such environmental regimes or ‘contexts’ allows an animal to rapidly adapt its behaviour when context changes occur. The current work views animals as making sequential inferences about current context identity in a world assumed to be relatively stable but also capable of rapid switches to previously observed or entirely new contexts. We describe a novel decision-making model in which contexts are assumed to follow a Chinese restaurant process with inertia and full Bayesian inference is approximated by a sequential-sampling scheme in which only a single hypothesis about current context is maintained. Actions are selected via Thompson sampling, allowing uncertainty in parameters to drive exploration in a straightforward manner. The model is tested on simple two-alternative choice problems with switching reinforcement schedules and the results compared with rat behavioural data from a number of T-maze studies. The model successfully replicates a number of important behavioural effects: spontaneous recovery, the effect of partial reinforcement on extinction and reversal, the overtraining reversal effect, and serial reversal-learning effects. PMID:23427101

Context-dependent decision-making: a simple Bayesian model.

PubMed

Lloyd, Kevin; Leslie, David S

2013-05-06

Many phenomena in animal learning can be explained by a context-learning process whereby an animal learns about different patterns of relationship between environmental variables. Differentiating between such environmental regimes or 'contexts' allows an animal to rapidly adapt its behaviour when context changes occur. The current work views animals as making sequential inferences about current context identity in a world assumed to be relatively stable but also capable of rapid switches to previously observed or entirely new contexts. We describe a novel decision-making model in which contexts are assumed to follow a Chinese restaurant process with inertia and full Bayesian inference is approximated by a sequential-sampling scheme in which only a single hypothesis about current context is maintained. Actions are selected via Thompson sampling, allowing uncertainty in parameters to drive exploration in a straightforward manner. The model is tested on simple two-alternative choice problems with switching reinforcement schedules and the results compared with rat behavioural data from a number of T-maze studies. The model successfully replicates a number of important behavioural effects: spontaneous recovery, the effect of partial reinforcement on extinction and reversal, the overtraining reversal effect, and serial reversal-learning effects.

Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

PubMed

Kanevsky, Jonathan; Corban, Jason; Gaster, Richard; Kanevsky, Ari; Lin, Samuel; Gilardino, Mirko

2016-05-01

Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the hospital ward, technological advancement has facilitated the expedient and reliable measurement of clinically relevant health metrics, all in an effort to guide care and ensure the best possible clinical outcomes. However, as the volume and complexity of biomedical data grow, it becomes challenging to effectively process "big data" using conventional techniques. Physicians and scientists must be prepared to look beyond classic methods of data processing to extract clinically relevant information. The purpose of this article is to introduce the modern plastic surgeon to machine learning and computational interpretation of large data sets. What is machine learning? Machine learning, a subfield of artificial intelligence, can address clinically relevant problems in several domains of plastic surgery, including burn surgery; microsurgery; and craniofacial, peripheral nerve, and aesthetic surgery. This article provides a brief introduction to current research and suggests future projects that will allow plastic surgeons to explore this new frontier of surgical science.

Intelligent hearing aids: the next revolution.

PubMed

Tao Zhang; Mustiere, Fred; Micheyl, Christophe

2016-08-01

The first revolution in hearing aids came from nonlinear amplification, which allows better compensation for both soft and loud sounds. The second revolution stemmed from the introduction of digital signal processing, which allows better programmability and more sophisticated algorithms. The third revolution in hearing aids is wireless, which allows seamless connectivity between a pair of hearing aids and with more and more external devices. Each revolution has fundamentally transformed hearing aids and pushed the entire industry forward significantly. Machine learning has received significant attention in recent years and has been applied in many other industries, e.g., robotics, speech recognition, genetics, and crowdsourcing. We argue that the next revolution in hearing aids is machine intelligence. In fact, this revolution is already quietly happening. We will review the development in at least three major areas: applications of machine learning in speech enhancement; applications of machine learning in individualization and customization of signal processing algorithms; applications of machine learning in improving the efficiency and effectiveness of clinical tests. With the advent of the internet of things, the above developments will accelerate. This revolution will bring patient satisfactions to a new level that has never been seen before.

Self regulated learning trough project base learning on the prospective math teacher

NASA Astrophysics Data System (ADS)

Laelasari

2018-03-01

Development of planning, strategy, and learning activities is strongly influenced by metacognition ability, knowledge of learning strategy, and understanding of context is the most important thing to be mastered by a prospective teacher. Self-regulation owned by the individual can control behavior, and manipulate a behavior by using the ability of his mind so that individuals can react to their environment. Self-regulation is the basis of the socialization process as it relates to the entire domain of physical, cognitive, social, and emotional development. This research is a qualitative research with research subject of the fourth-semester student of class A, at one of a university in Cirebon City, West Java. In this research, the lecture material discussed is The Development of Teaching Materials, which is the subject matter that must be mastered by prospective teachers, especially teachers of mathematics education. The instrument used is the questionnaire. The results showed that through project based learning, can grow student’s self-regulated learning especially the prospective math teacher, and can be used as an alternative to the delivery of lecture materials.

Annotating images by mining image search results.

PubMed

Wang, Xin-Jing; Zhang, Lei; Li, Xirong; Ma, Wei-Ying

2008-11-01

Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results. Some 2.4 million images with their surrounding text are collected from a few photo forums to support this approach. The entire process is formulated in a divide-and-conquer framework where a query keyword is provided along with the uncaptioned image to improve both the effectiveness and efficiency. This is helpful when the collected data set is not dense everywhere. In this sense, our approach contains three steps: 1) the search process to discover visually and semantically similar search results, 2) the mining process to identify salient terms from textual descriptions of the search results, and 3) the annotation rejection process to filter out noisy terms yielded by Step 2. To ensure real-time annotation, two key techniques are leveraged-one is to map the high-dimensional image visual features into hash codes, the other is to implement it as a distributed system, of which the search and mining processes are provided as Web services. As a typical result, the entire process finishes in less than 1 second. Since no training data set is required, our approach enables annotating with unlimited vocabulary and is highly scalable and robust to outliers. Experimental results on both real Web images and a benchmark image data set show the effectiveness and efficiency of the proposed algorithm. It is also worth noting that, although the entire approach is illustrated within the divide-and conquer framework, a query keyword is not crucial to our current implementation. We provide experimental results to prove this.

Using collaborative research to facilitate student learning.

PubMed

Thompson, C J; McNeill, J A; Sherwood, G D; Starck, P L

2001-08-01

Developing research partnerships between academia and the service sector is an innovative way to meet the demand for high-quality, cost-effective, and clinically oriented research. Undergraduate student participation in clinical research is an educational strategy to facilitate positive mindsets toward research. This article outlines the methodological steps in recruiting and training undergraduate students for clinical research teams to benefit nurse educators, nurse researchers, students, and institutional partners. Student volunteers collected data for a study examining patient satisfaction with pain management practices. The research proposal was used to demonstrate principles of the research process and to familiarize the students with the study. A detailed study protocol guided the entire team through the project. Student sensitivity to pain assessment and management was enhanced. Learning the research process and the students' appreciation for the rigors of research were reinforced using this experiential model. Student evaluation of the research experience is presented.

Integrating high school and college students into the astronomy research community of practice through participation in a hybrid research seminar.

NASA Astrophysics Data System (ADS)

Freed, R.

2016-12-01

The Institute for Student Astronomical Research over the past two years has provided dozens of high school and college students the opportunity to conduct original research in astronomy and to publish their work in peer-reviewed journals. Students are engaged in the entire scientific process from coming up with a research question to collecting and analyzing the data and writing up their results for publication. During the process students work with amateur and/or professional astronomers to learn how to conduct their research and communicate their findings effectively. Working within a community of practice has been shown to improve student learning and the Institute for Student Astronomical Research provides a framework in which to bring students and astronomers together while allowing for the work to be done in a student-centered fashion.

The Learning Region between Pedagogy and Economy

ERIC Educational Resources Information Center

Piazza, Roberta

2010-01-01

Economic growth is stimulated through learning. In "the learning economies" of those European regions that chose to develop their human and intellectual capital wisely, benefits have been visible. But this is a one-dimensional outlook in a multi-dimensional world. A "Learning Region" is an entirely different entity, pooling and…

Integrative Learning: Making Liberal Education Purposeful, Personal, and Practical

ERIC Educational Resources Information Center

Ferren, Ann S.; Anderson, Chad B.

2016-01-01

This chapter explores three key features of integrative learning practice that play a vital role in fostering student success: guidance and support through critical transitions; entire development of the student; and engagement in project-based learning that connects learning to complex, real-world problems, and opportunities that can have…

Teaching by research at undergraduate schools: an experience

NASA Astrophysics Data System (ADS)

Costa, Manuel F. M.

1997-12-01

On this communication I will report a pedagogical experience undertaken in the 1995 class of Image Processing of the course of Applied Physics of the University of Minho. The learning process requires always an active critical participation of the student in an experience essentially personal that should and must be rewarding and fulfilling. To us scientists virtually nothing gives us more pleasure and fulfillment than the research processes. Furthermore it is our main way to improve our, and I stress our, knowledge. Thus I decided to center my undergraduate students' learning process of the basics of digital image processing on a simple applied research program. The proposed project was to develop a process of inspection to be introduced in a generic production line. Measured should be the transversal distance between an object and the extremity of a conveyor belt where it is transported. The measurement method was proposed to be optical triangulation combined with shadow analysis. To the students was given almost entire liberty and responsibility. I limited my self to asses the development of the project orienting them and point out different or pertinent points of view only when strictly necessary.

Investigating Learners' Attitudes toward Virtual Reality Learning Environments: Based on a Constructivist Approach

ERIC Educational Resources Information Center

Huang, Hsiu-Mei; Rauch, Ulrich; Liaw, Shu-Sheng

2010-01-01

The use of animation and multimedia for learning is now further extended by the provision of entire Virtual Reality Learning Environments (VRLE). This highlights a shift in Web-based learning from a conventional multimedia to a more immersive, interactive, intuitive and exciting VR learning environment. VRLEs simulate the real world through the…

Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls.

PubMed

Kiiski, Hanni; Jollans, Lee; Donnchadha, Seán Ó; Nolan, Hugh; Lonergan, Róisín; Kelly, Siobhán; O'Brien, Marie Claire; Kinsella, Katie; Bramham, Jessica; Burke, Teresa; Hutchinson, Michael; Tubridy, Niall; Reilly, Richard B; Whelan, Robert

2018-05-01

Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Multiple Sclerosis (MS) patients and controls at the individual level. Seventy-eight participants (35 MS patients, 43 healthy age-matched controls) completed visual and auditory 2- and 3-stimulus oddball tasks with 128-channel EEG, and a neuropsychological battery, at baseline (month 0) and at Months 13 and 26. ERPs from 0 to 700 ms and across the whole scalp were transformed into 1728 individual spatio-temporal datapoints per participant. A machine learning method that included penalized linear regression used the entire spatio-temporal ERP to predict composite scores of both cognitive functioning and processing speed at baseline (month 0), and months 13 and 26. The results showed ERPs during the visual oddball tasks could predict cognitive functioning and information processing speed at baseline and a year later in a sample of MS patients and healthy controls. In contrast, ERPs during auditory tasks were not predictive of cognitive performance. These objective neurophysiological indicators of cognitive functioning and processing speed, and machine learning methods that can interrogate high-dimensional data, show promise in outcome prediction.

THE ROLE OF VISUALS IN VERBAL LEARNING--STUDIES IN TELEVISED INSTRUCTION, REPORT 3, SUMMARY REPORT.

ERIC Educational Resources Information Center

GROPPER, GEORGE L.

THE INTEGRATION OF WORDS AND PICTURES IN THE TWO STUDIES REPORTED IN THIS VOLUME WAS ACCOMPLISHED UNCONVENTIONALLY. IN ONE STUDY, AN ENTIRE TOPIC, ARCHIMEDES' LAW, WAS COVERED IN A SELF-CONTAINED, ENTIRELY PICTORIAL LESSON AND ALSO IN A SELF-CONTAINED, ENTIRELY VERBAL LESSON. STUDENTS ACQUIRED ALL THE CONCEPTS AND PRINCIPLES MAKING UP ARCHIMEDES'…

Skierarchy: Extending the Power of Crowdsourcing Using a Hierarchy of Domain Experts, Crowd and Machine Learning

DTIC Science & Technology

2012-11-01

college background and good reading comprehension skills in English, and bring to them to the office space to work for us full-time on micro-tasks. This...reasonable reading comprehension skills in English. The expert spent only 1/3rd the time as each member of the crowd in the entire annotation process...3. DATES COVERED 00-00-2012 to 00-00-2012 4. TITLE AND SUBTITLE Skierarchy: Extending the Power of Crowdsourcing Using a Hierarchy of Domain

Orion Pad Abort 1 Flight Test - Ground and Flight Operations

NASA Technical Reports Server (NTRS)

Hackenbergy, Davis L.; Hicks, Wayne

2011-01-01

This paper discusses the ground and flight operations aspects to the Pad Abort 1 launch. The paper details the processes used to plan all operations. The paper then discussions the difficulties of integration and testing, while detailing some of the lessons learned throughout the entire launch campaign. Flight operational aspects of the launc are covered in order to provide the listener with the full suite of operational issues encountered in preparation for the first flight test of the Orion Launch Abort System.

An eye movement corpus study of the age-of-acquisition effect.

PubMed

Dirix, Nicolas; Duyck, Wouter

2017-12-01

In the present study, we investigated the effects of word-level age of acquisition (AoA) on natural reading. Previous studies, using multiple language modalities, showed that earlier-learned words are recognized, read, spoken, and responded to faster than words learned later in life. Until now, in visual word recognition the experimental materials were limited to single-word or sentence studies. We analyzed the data of the Ghent Eye-tracking Corpus (GECO; Cop, Dirix, Drieghe, & Duyck, in press), an eyetracking corpus of participants reading an entire novel, resulting in the first eye movement megastudy of AoA effects in natural reading. We found that the ages at which specific words were learned indeed influenced reading times, above other important (correlated) lexical variables, such as word frequency and length. Shorter fixations for earlier-learned words were consistently found throughout the reading process, in both early (single-fixation durations, first-fixation durations, gaze durations) and late (total reading times) measures. Implications for theoretical accounts of AoA effects and eye movements are discussed.

Flipping & Clicking Your Way to Higher-Order Learning

ERIC Educational Resources Information Center

Garver, Michael S.; Roberts, Brian A.

2013-01-01

This innovative system of teaching and learning includes the implementation of two effective learning technologies: podcasting ("flipping") and classroom response systems ("clicking"). Students watch lectures in podcast format before coming to class, which allows the "entire" class period to be devoted to active…

E-Learning "Bites" for Adult Learners: Mixed Messages from Research

ERIC Educational Resources Information Center

Morrison, Marlene

2005-01-01

Accompanying awareness of the potential for lifelong learning to secure social inclusion and economic survival, e-learning has grown in significance and a fragile consensus about its purposes has emerged among stakeholders. The University for Industry (Ufi) and its e-learning arm, learndirect, have focused efforts especially (but not entirely)…

Learning Environments as Basis for Cognitive Achievements of Students in Basic Science Classrooms in Nigeria

ERIC Educational Resources Information Center

Atomatofa, Rachel; Okoye, Nnamdi; Igwebuike, Thomas

2016-01-01

The nature of classroom learning environments created by teachers had been considered very important for learning to take place effectively. This study investigated the effect of creating constructivist and transmissive learning environments on achievements of science students of different ability levels. 243 students formed the entire study…

Expansive Learning in a Library: Actions, Cycles and Deviations from Instructional Intentions

ERIC Educational Resources Information Center

Engestrom, Yrjo; Rantavuori, Juhana; Kerosuo, Hannele

2013-01-01

The theory of expansive learning has been applied in a large number of studies on workplace learning and organizational change. However, detailed comprehensive analyses of entire developmental interventions based on the theory of expansive learning do not exist. Such a study is needed to examine the empirical usability and methodological rigor…

Promoting Teaching and Learning in Ghanaian Basic Schools through ICT

ERIC Educational Resources Information Center

Natia, James Adam; Al-hassan, Seidu

2015-01-01

The Basic School Computerization policy was created in 2011 to introduce computers and e-learning into the entire educational system to promote training and life-long learning. Using data obtained by Connect for Change Education Ghana Alliance, this paper investigates the extent to which school administration, and teaching and learning are…

The emergence of learning-teaching trajectories in education: a complex dynamic systems approach.

PubMed

Steenbeek, Henderien; van Geert, Paul

2013-04-01

In this article we shall focus on learning-teaching trajectories ='successful' as well as 'unsuccessful' ones - as emergent and dynamic phenomena resulting from the interactions in the entire educational context, in particular the interaction between students and teachers viewed as processes of intertwining self-, other- and co-regulation. The article provides a review of the educational research literature on action regulation in learning and teaching, and interprets this literature in light of the theory of complex dynamic systems. Based on this reinterpretation of the literature, two dynamic models are proposed, one focusing on the short-term dynamics of learning-teaching interactions as they take place in classrooms, the other focusing on the long-term dynamics of interactions in a network of variables encompassing concerns, evaluations, actions and action effects (such as learning) students and teachers. The aim of presenting these models is to demonstrate, first, the possibility of transforming existing educational theory into dynamic models and, second, to provide some suggestions as to how such models can be used to further educational theory and practice.

Detecting and preventing error propagation via competitive learning.

PubMed

Silva, Thiago Christiano; Zhao, Liang

2013-05-01

Semisupervised learning is a machine learning approach which is able to employ both labeled and unlabeled samples in the training process. It is an important mechanism for autonomous systems due to the ability of exploiting the already acquired information and for exploring the new knowledge in the learning space at the same time. In these cases, the reliability of the labels is a crucial factor, because mislabeled samples may propagate wrong labels to a portion of or even the entire data set. This paper has the objective of addressing the error propagation problem originated by these mislabeled samples by presenting a mechanism embedded in a network-based (graph-based) semisupervised learning method. Such a procedure is based on a combined random-preferential walk of particles in a network constructed from the input data set. The particles of the same class cooperate among them, while the particles of different classes compete with each other to propagate class labels to the whole network. Computer simulations conducted on synthetic and real-world data sets reveal the effectiveness of the model. Copyright © 2012 Elsevier Ltd. All rights reserved.

Learning organizations, internal marketing, and organizational commitment in hospitals

PubMed Central

2014-01-01

Background Knowledge capital is becoming more important to healthcare establishments, especially for hospitals that are facing changing societal and industrial patterns. Hospital staff must engage in a process of continual learning to improve their healthcare skills and provide a superior service to their patients. Internal marketing helps hospital administrators to improve the quality of service provided by nursing staff to their patients and allows hospitals to build a learning culture and enhance the organizational commitment of its nursing staff. Our empirical study provides nursing managers with a tool to allow them to initiate a change in the attitudes of nurses towards work, by constructing a new ‘learning organization’ and using effective internal marketing. Methods A cross-sectional design was employed. Two hundred questionnaires were distributed to nurses working in either a medical centre or a regional hospital in Taichung City, Taiwan, and 114 valid questionnaires were returned (response rate: 57%). The entire process of distribution and returns was completed between 1 October and 31 October 2009. Hypothesis testing was conducted using structural equation modelling. Results A significant positive correlation was found between the existence of a ‘learning organization’, internal marketing, and organizational commitment. Internal marketing was a mediator between creating a learning organization and organizational commitment. Conclusion Nursing managers may be able to apply the creation of a learning organization to strategies that can strengthen employee organizational commitment. Further, when promoting the creation of a learning organization, managers can coordinate their internal marketing practices to enhance the organizational commitment of nurses. PMID:24708601

The Chronotron: A Neuron That Learns to Fire Temporally Precise Spike Patterns

PubMed Central

Florian, Răzvan V.

2012-01-01

In many cases, neurons process information carried by the precise timings of spikes. Here we show how neurons can learn to generate specific temporally precise output spikes in response to input patterns of spikes having precise timings, thus processing and memorizing information that is entirely temporally coded, both as input and as output. We introduce two new supervised learning rules for spiking neurons with temporal coding of information (chronotrons), one that provides high memory capacity (E-learning), and one that has a higher biological plausibility (I-learning). With I-learning, the neuron learns to fire the target spike trains through synaptic changes that are proportional to the synaptic currents at the timings of real and target output spikes. We study these learning rules in computer simulations where we train integrate-and-fire neurons. Both learning rules allow neurons to fire at the desired timings, with sub-millisecond precision. We show how chronotrons can learn to classify their inputs, by firing identical, temporally precise spike trains for different inputs belonging to the same class. When the input is noisy, the classification also leads to noise reduction. We compute lower bounds for the memory capacity of chronotrons and explore the influence of various parameters on chronotrons' performance. The chronotrons can model neurons that encode information in the time of the first spike relative to the onset of salient stimuli or neurons in oscillatory networks that encode information in the phases of spikes relative to the background oscillation. Our results show that firing one spike per cycle optimizes memory capacity in neurons encoding information in the phase of firing relative to a background rhythm. PMID:22879876

Design and practice of a comprehensively functional integrated management information system for major construction

NASA Astrophysics Data System (ADS)

Liu, Yuling; Wang, Xiaoping; Zhu, Yuhui; Fei, Lanlan

2017-08-01

This paper introduces a Comprehensively Functional Integrated Management Information System designed for the Optical Engineering Major by the College of Optical Science and Engineering, Zhejiang University, which combines the functions of teaching, students learning, educational assessment and management. The system consists of 5 modules, major overview, online curriculum, experiment teaching management, graduation project management and teaching quality feedback. The major overview module introduces the development history, training program, curriculums and experiment syllabus and teaching achievements of optical engineering major in Zhejiang University. The Management Information System is convenient for students to learn in a mobile and personalized way. The online curriculum module makes it very easy for teachers to setup a website for new curriculums. On the website, teachers can help students on their problems about the curriculums in time and collect their homework online. The experiment teaching management module and the graduation project management module enables the students to fulfill their experiment process and graduation thesis under the help of their supervisors. Before students take an experiment in the lab, they must pass the pre-experiment quiz on the corresponding module. After the experiment, students need to submit the experiment report to the web server. Moreover, the module contains experiment process video recordings, which are very helpful to improve the effect of the experiment education. The management of the entire process of a student's graduation program, including the project selection, mid-term inspection, progress report of every two weeks, final thesis, et al, is completed by the graduation project management module. The teaching quality feedback module is not only helpful for teachers to know whether the education effect of curriculum is good or not, but also helpful for the administrators of the college to know whether the design of syllabus is reasonable or not. The Management Information System changes the management object from the education results to the entire education processes. And it improves the efficiency of the management. It provides an effective method to promote curriculum construction management by supervision and evaluation, which improves students' learning outcomes and the quality of curriculums. As a result, it promotes the quality system of education obviously.

News | Argonne National Laboratory

Science.gov Websites

Highlights In the News Photos Videos News News Transforming transportation with machine learning Full Story  » From individual vehicle components to entire metropolitan areas, Argonne uses machine learning to

[Dynamic hierarchy of regulatory peptides. Structure of the induction relations of regulators as the target for therapeutic agents].

PubMed

Koroleva, S V; Miasoedov, N F

2012-01-01

Based on the database information (literature period 1970-2010 gg.) on the effects of regulatory peptides (RP) and non-peptide neurotransmitters (dopamine, serotonin, norepi-nephrine, acetylcholine) it was analyzed of possible cascade processes of endogenous regulators. It was found that the entire continuum of RP and mediators is a chaotic soup of the ordered three-level compartments. Such a dynamic functional hierarchy of endogenous regulators allows to create start-up and corrective tasks for a variety of physiological functions. Some examples of static and dynamic patterns of induction processes of RP and mediators (that regulate the states of anxiety, depression, learning and memory, feeding behavior, reproductive processes, etc.) are considered.

Designing a Knowledge Mobilization Strategy: Leading through Influence

ERIC Educational Resources Information Center

Reid, Steven

2015-01-01

As district leaders consider professional learning opportunities for educators, mobilizing new thought and actions across an entire system is a vexing challenge. Classroom-based learning may unfortunately be viewed as juxtaposed to district-based learning. It becomes essential for district leaders to develop knowledge mobilization strategies which…

Effects of Sharing Clickers in an Active Learning Environment

ERIC Educational Resources Information Center

Daniel, Todd; Tivener, Kristin

2016-01-01

Scientific research into learning enhancement gained by the use of clickers in active classrooms has largely focused on the use of individual clickers. In this study, we compared the learning experiences of participants in active learning groups in which an entire small group shared a single clicker to groups in which each member of the group had…

Bridging the Gap between Students and Computers: Supporting Activity Awareness for Network Collaborative Learning with GSM Network

ERIC Educational Resources Information Center

Liu, C.-C.; Tao, S.-Y.; Nee, J.-N.

2008-01-01

The internet has been widely used to promote collaborative learning among students. However, students do not always have access to the system, leading to doubt in the interaction among the students, and reducing the effectiveness of collaborative learning, since the web-based collaborative learning environment relies entirely on the availability…

Interactive E-learning module in pharmacology: a pilot project at a rural medical college in India.

PubMed

Gaikwad, Nitin; Tankhiwale, Suresh

2014-01-01

Many medical educators are experimenting with innovative ways of E-learning. E-learning provides opportunities to students for self-directed learning in addition to other advantages. In this study, we designed and evaluated an interactive E-learning module in pharmacology for effectiveness, acceptability and feasibility, with the aim of promoting active learning in this fact-filled subject. A quasi-experimental single-group pre-test/post-test study was conducted with fourth-semester students of the second professionals course (II MBBS), selected using non-probability convenience sampling method. An E-learning module in endocrine pharmacology was designed to comprise three units of interactive PowerPoint presentations. The pre-validated presentations were uploaded on the website according to a predefined schedule and the 42 registered students were encouraged to self-learning using these interactive presentations. Cognitive gain was assessed using an online pre- and post-test for each unit. Students' perceptions were recorded using an online feedback questionnaire on a 5-point Likert scale. Finally, focused group discussion was conducted to further explore students' views on E-learning activity. Significant attrition was observed during the E-learning activity. Of the 42 registered students, only 16 students completed the entire E-learning module. The summed average score of all three units (entire module) was increased significantly from 38.42 % (summed average pre-test score: 11.56/30 ± 2.90) to 66.46 % (summed average post-test score: 19.94/30 ± 6.13). The class-average normalized gain for the entire module was 0.4542 (45.42). The students accepted this E-learning activity well as they perceived it to be innovative, convenient, flexible and useful. The average rating was between 4 (agree) and 5 (strongly agree). The interactive E-learning module in pharmacology was moderately effective and well perceived by the students. The simple, cost-effective and readily available Microsoft PowerPoint tool appealed to medical educators to use this kind of simple E-learning technology blended with traditional teaching to encourage active learning among students especially in a rural setup is attractive.

Basic steps in establishing effective small group teaching sessions in medical schools.

PubMed

Meo, Sultan Ayoub

2013-07-01

Small-group teaching and learning has achieved an admirable position in medical education and has become more popular as a means of encouraging the students in their studies and enhance the process of deep learning. The main characteristics of small group teaching are active involvement of the learners in entire learning cycle and well defined task orientation with achievable specific aims and objectives in a given time period. The essential components in the development of an ideal small group teaching and learning sessions are preliminary considerations at departmental and institutional level including educational strategies, group composition, physical environment, existing resources, diagnosis of the needs, formulation of the objectives and suitable teaching outline. Small group teaching increases the student interest, teamwork ability, retention of knowledge and skills, enhance transfer of concepts to innovative issues, and improve the self-directed learning. It develops self-motivation, investigating the issues, allows the student to test their thinking and higher-order activities. It also facilitates an adult style of learning, acceptance of personal responsibility for own progress. Moreover, it enhances student-faculty and peer-peer interaction, improves communication skills and provides opportunity to share the responsibility and clarify the points of bafflement.

Review of the Status of Learning in Research on Sport Education: Future Research and Practice

PubMed Central

Araújo, Rui; Mesquita, Isabel; Hastie, Peter A.

2014-01-01

Research concerning Sport Education’s educational impact has shown unequivocal results according to students’ personal and social development. Nevertheless, research is still sparse with respect to the model’s impact on student learning outcomes. The goal of the present review is to therefore scrutinize what is currently known regarding students’ learning during their participation in Sport Education. This research spans a variety of studies, cross various countries, school grades, the sports studied, as well as the methods applied and dimensions of student learning analyzed. While research on the impact of Sport Education on students’ learning, as well as teachers’ and students’ perceptions about student learning has shown students’ improvements during the participation in Sport Education seasons, there is still considerable variance in these results. For example, some studies report superior learning opportunities to boys and higher skill-level students while other studies have identified superior learning opportunities for girls and lower skill-level students. These inconsistent results can be explained by factors not considered in the Sport Education research, such as the effect of time on students’ learning and the control of the teaching-learning process within Sport Education units. In this review directions for future research and practice are also described. Future research should define, implement, and evaluate protocols for student-coaches’ preparation in order to understand the influence of this issue on students’ learning as well as consider the implementation of hybrid approaches. Moreover, future studies should consider the interaction of gender and skill level and a retention test in the analysis of students’ learning improvements in order to obtain a more realist and complete portrait of the impact of Sport Education. Finally, in order to reach an entirely understanding of the teaching-learning process, it is necessary to use research designs that attend to the complexity of this process. Key Points Despite research regarding has showed students’ improvements during the participation in Sport Education seasons, it remains somewhat equivocal. The studies included in this review show students’ improvements on skill, knowledge and tactical development, as we as game play, during the participation in Sport Education units. Some studies report superior learning opportunities to boys and higher skill-level students while other studies exposed superior learning opportunities to girls and lower skill-level students. The effect of time on students’ learning and the control of the teaching-learning process within Sport Education units can explain these equivocal results. Future research is encouraged to consider the implementation of protocols for student-coaches’ preparation, hybrid models, a retention test, the interaction of gender and skill level, and use research designs that attend to the complexity of the teaching-learning process. PMID:25435778

Review of the status of learning in research on sport education: future research and practice.

PubMed

Araújo, Rui; Mesquita, Isabel; Hastie, Peter A

2014-12-01

Research concerning Sport Education's educational impact has shown unequivocal results according to students' personal and social development. Nevertheless, research is still sparse with respect to the model's impact on student learning outcomes. The goal of the present review is to therefore scrutinize what is currently known regarding students' learning during their participation in Sport Education. This research spans a variety of studies, cross various countries, school grades, the sports studied, as well as the methods applied and dimensions of student learning analyzed. While research on the impact of Sport Education on students' learning, as well as teachers' and students' perceptions about student learning has shown students' improvements during the participation in Sport Education seasons, there is still considerable variance in these results. For example, some studies report superior learning opportunities to boys and higher skill-level students while other studies have identified superior learning opportunities for girls and lower skill-level students. These inconsistent results can be explained by factors not considered in the Sport Education research, such as the effect of time on students' learning and the control of the teaching-learning process within Sport Education units. In this review directions for future research and practice are also described. Future research should define, implement, and evaluate protocols for student-coaches' preparation in order to understand the influence of this issue on students' learning as well as consider the implementation of hybrid approaches. Moreover, future studies should consider the interaction of gender and skill level and a retention test in the analysis of students' learning improvements in order to obtain a more realist and complete portrait of the impact of Sport Education. Finally, in order to reach an entirely understanding of the teaching-learning process, it is necessary to use research designs that attend to the complexity of this process. Key PointsDespite research regarding has showed students' improvements during the participation in Sport Education seasons, it remains somewhat equivocal.The studies included in this review show students' improvements on skill, knowledge and tactical development, as we as game play, during the participation in Sport Education units.Some studies report superior learning opportunities to boys and higher skill-level students while other studies exposed superior learning opportunities to girls and lower skill-level students.The effect of time on students' learning and the control of the teaching-learning process within Sport Education units can explain these equivocal results.Future research is encouraged to consider the implementation of protocols for student-coaches' preparation, hybrid models, a retention test, the interaction of gender and skill level, and use research designs that attend to the complexity of the teaching-learning process.

Measurement of Meteor Impact Experiments Using Three-Component Particle Image Velocimetry

NASA Technical Reports Server (NTRS)

Heineck, James T.; Schultz, Peter H.

2002-01-01

The study of hypervelocity impacts has been aggressively pursued for more than 30 years at Ames as a way to simulate meteoritic impacts. Development of experimental methods coupled with new perspectives over this time has greatly improved the understanding of the basic physics and phenomenology of the impact process. These fundamental discoveries have led to novel methods for identifying impact craters and features in craters on both Earth and other planetary bodies. Work done at the Ames Vertical Gun Range led to the description of the mechanics of the Chicxualub crater (a.k.a. K-T crater) on the Yucatan Peninsula, widely considered to be the smoking gun impact that brought an end to the dinosaur era. This is the first attempt in the world to apply three-component particle image velocimetry (3-D PIV) to measure the trajectory of the entire ejecta curtain simultaneously with the fluid structure resulting from impact dynamics. The science learned in these experiments will build understanding in the entire impact process by simultaneously measuring both ejecta and atmospheric mechanics.

Effectiveness of Mobile Learning in Distance Education

ERIC Educational Resources Information Center

Yousuf, Muhammad Imran

2007-01-01

The main aim of this research is to better understand and measure students' attitudes and perceptions towards the importance of mobile learning in distance education. Results of this survey clearly indicate that facilitating mobile learning can improve the entire distance education by enhancing ways of communication among distance learners, tutors…

Student Trade Missions: An Experiential Learning Opportunity

ERIC Educational Resources Information Center

Audet, Josée; Marcotte, Geneviève

2018-01-01

In response to the criticisms addressed to business schools, teaching formulas that foster experiential learning are increasingly being put forward. The Missions Commerciales de l'Université Laval (MCUL--Université Laval Trade Missions) is a training program designed to foster experiential learning. This program extends over an entire academic…

Systemwide Implementation of Project-Based Learning: The Philadelphia Approach

ERIC Educational Resources Information Center

Schwalm, Jason; Tylek, Karen Smuck

2012-01-01

Citywide implementation of project-based learning highlights the benefits--and the challenges--of promoting exemplary practices across an entire out-of-school time (OST) network. In summer 2009, the City of Philadelphia and its intermediary, the Public Health Management Corporation (PHMC), introduced project-based learning to a network of more…

From Foreground to Background: How Task-Neutral Context Influences Contextual Cueing of Visual Search.

PubMed

Zang, Xuelian; Geyer, Thomas; Assumpção, Leonardo; Müller, Hermann J; Shi, Zhuanghua

2016-01-01

Selective attention determines the effectiveness of implicit contextual learning (e.g., Jiang and Leung, 2005). Visual foreground-background segmentation, on the other hand, is a key process in the guidance of attention (Wolfe, 2003). In the present study, we examined the impact of foreground-background segmentation on contextual cueing of visual search in three experiments. A visual search display, consisting of distractor 'L's and a target 'T', was overlaid on a task-neutral cuboid on the same depth plane (Experiment 1), on stereoscopically separated depth planes (Experiment 2), or spread over the entire display on the same depth plane (Experiment 3). Half of the search displays contained repeated target-distractor arrangements, whereas the other half was always newly generated. The task-neutral cuboid was constant during an initial training session, but was either rotated by 90° or entirely removed in the subsequent test sessions. We found that the gains resulting from repeated presentation of display arrangements during training (i.e., contextual-cueing effects) were diminished when the cuboid was changed or removed in Experiment 1, but remained intact in Experiments 2 and 3 when the cuboid was placed in a different depth plane, or when the items were randomly spread over the whole display but not on the edges of the cuboid. These findings suggest that foreground-background segmentation occurs prior to contextual learning, and only objects/arrangements that are grouped as foreground are learned over the course of repeated visual search.

From Foreground to Background: How Task-Neutral Context Influences Contextual Cueing of Visual Search

PubMed Central

Zang, Xuelian; Geyer, Thomas; Assumpção, Leonardo; Müller, Hermann J.; Shi, Zhuanghua

2016-01-01

Selective attention determines the effectiveness of implicit contextual learning (e.g., Jiang and Leung, 2005). Visual foreground-background segmentation, on the other hand, is a key process in the guidance of attention (Wolfe, 2003). In the present study, we examined the impact of foreground-background segmentation on contextual cueing of visual search in three experiments. A visual search display, consisting of distractor ‘L’s and a target ‘T’, was overlaid on a task-neutral cuboid on the same depth plane (Experiment 1), on stereoscopically separated depth planes (Experiment 2), or spread over the entire display on the same depth plane (Experiment 3). Half of the search displays contained repeated target-distractor arrangements, whereas the other half was always newly generated. The task-neutral cuboid was constant during an initial training session, but was either rotated by 90° or entirely removed in the subsequent test sessions. We found that the gains resulting from repeated presentation of display arrangements during training (i.e., contextual-cueing effects) were diminished when the cuboid was changed or removed in Experiment 1, but remained intact in Experiments 2 and 3 when the cuboid was placed in a different depth plane, or when the items were randomly spread over the whole display but not on the edges of the cuboid. These findings suggest that foreground-background segmentation occurs prior to contextual learning, and only objects/arrangements that are grouped as foreground are learned over the course of repeated visual search. PMID:27375530

Designing Digital Game-Based Learning Environments

ERIC Educational Resources Information Center

An, Yun-Jo; Bonk, Curtis J.

2009-01-01

With the emergence of the Web 2.0 and other technologies for learning, there are a variety of special places that did not exist previously in which to pursue learning. Not just a few dozen more but millions more. Many of these are not the physical learning spaces one might envision but entirely virtual or digital ones. As an example, the area of…

The NASA/IPAC Teacher Archive Research Program (NITARP): Lessons Learned

NASA Astrophysics Data System (ADS)

Rebull, Luisa M.; Gorjian, Varoujan; Squires, Gordon K.

2017-01-01

NITARP, the NASA/IPAC Teacher Archive Research Program, gets teachers involved in authentic astronomical research. We partner small groups of educators with a professional astronomer mentor for a year-long original research project. The teams echo the entire research process, from writing a proposal, to doing the research, to presenting the results at an American Astronomical Society (AAS) meeting. The program runs from January through January. Applications are available annually in May and are due in September. The educators’ experiences color their teaching for years to come, influencing hundreds of students per teacher. In support of other teams planning programs similar to NITARP, in this poster we present our top lessons learned from running NITARP for more than 10 years. Support is provided for NITARP by the NASA ADP program.

A social pedagogy approach to residential care: balancing education and placement in the development of an innovative child welfare residential program in Ontario, Canada.

PubMed

Gharabaghi, Kiaras; Groskleg, Ron

2010-01-01

This paper chronicles the exploration and development of a residential program of the child welfare authority of Renfrew County in Ontario, Canada. Recognizing that virtually its entire population of youth in care was failing to achieve positive outcomes in education, Renfrew County Family and Children Services embarked on a program development process that included many unique elements within the Ontario child welfare context. This process introduced the theoretical framework of social pedagogy to the provision of residential care, and it replaced the idea of psychotherapy as the primary agent of change for youth with the concept of living and learning. The result is a template for the Ottawa River Academy, a living and learning program for youth in care that exemplifies the possibilities embedded in creative thought, attention to research and evidence, and a preparedness to transcend traditional assumptions with respect to service designs and business models for residential care in child welfare.

Population size vs. social connectedness - A gene-culture coevolutionary approach to cumulative cultural evolution.

PubMed

Kobayashi, Yutaka; Ohtsuki, Hisashi; Wakano, Joe Y

2016-10-01

It has long been debated if population size is a crucial determinant of the level of culture. While empirical results are mixed, recent theoretical studies suggest that social connectedness between people may be a more important factor than the size of the entire population. These models, however, do not take into account evolutionary responses of learning strategies determining the mode of transmission and innovation and are hence not suitable for predicting the long-term implications of parameters of interest. In the present paper, to address this issue, we provide a gene-culture coevolution model, in which the microscopic learning process of each individual is explicitly described as a continuous-time stochastic process and time allocation to social and individual learning is allowed to evolve. We have found that social connectedness has a larger impact on the equilibrium level of culture than population size especially when connectedness is weak and population size is large. This result, combined with those of previous culture-only models, points to the importance of studying separate effects of population size and internal social structure to better understand spatiotemporal variation in the level of culture. Copyright © 2016 Elsevier Inc. All rights reserved.

A Look at Lifelong Learning.

ERIC Educational Resources Information Center

Dutton, Donnie

Adults must continue to learn. The accelerating pace of cultural change has made today's knowledge and skills tomorrow's obsolescence. A society that makes its educational investment almost entirely in children and youth is on the way to becoming obsolete and is reducing its survival chances. To promote the cause of lifelong learning, we need to…

38 CFR 21.9640 - Rates of payment of educational assistance.

Code of Federal Regulations, 2010 CFR

2010-07-01

... the institution of higher learning (converted into United States dollars); or (2) The average (i.e... percent) and who— (1) Is enrolled at an institution of higher learning located in the United States, or at... amount for established charges paid directly to the institution of higher learning for the entire quarter...

Student Talk and Opportunities for Mathematical Learning in Small Group Interactions

ERIC Educational Resources Information Center

Wood, Marcy B.; Kalinec, Crystal A.

2012-01-01

Small group interactions are an important tool for mathematical learning and yet researchers have neither examined small group talk across entire lessons nor have they focused on moments of mathematical learning in small groups. We examined such talk and identified kinds of interactions and connections between interactions and mathematical…

Rotating Solids and Flipping Instruction

ERIC Educational Resources Information Center

Grypp, Lynette; Luebeck, Jennifer

2015-01-01

Technology is causing educators to rethink the entire notion of classroom learning, not only with respect to what learning should take place but also where it should take place. One such innovation is flipped instruction, broadly defined by Staker and Horn (2012) as an instructional model in which students learn partly through online delivery and…

38 CFR 21.9640 - Rates of payment of educational assistance.

Code of Federal Regulations, 2013 CFR

2013-07-01

... percent) and who— (1) Is enrolled at an institution of higher learning located in the United States, or at... amount for established charges paid directly to the institution of higher learning for the entire quarter... charged by the institution of higher learning; or (2) The maximum amount of tuition regularly charged per...

38 CFR 21.9640 - Rates of payment of educational assistance.

Code of Federal Regulations, 2014 CFR

2014-07-01

... percent) and who— (1) Is enrolled at an institution of higher learning located in the United States, or at... amount for established charges paid directly to the institution of higher learning for the entire quarter... charged by the institution of higher learning; or (2) The maximum amount of tuition regularly charged per...

38 CFR 21.9640 - Rates of payment of educational assistance.

Code of Federal Regulations, 2012 CFR

2012-07-01

... percent) and who— (1) Is enrolled at an institution of higher learning located in the United States, or at... amount for established charges paid directly to the institution of higher learning for the entire quarter... charged by the institution of higher learning; or (2) The maximum amount of tuition regularly charged per...

38 CFR 21.9640 - Rates of payment of educational assistance.

Code of Federal Regulations, 2011 CFR

2011-07-01

... percent) and who— (1) Is enrolled at an institution of higher learning located in the United States, or at... amount for established charges paid directly to the institution of higher learning for the entire quarter... charged by the institution of higher learning; or (2) The maximum amount of tuition regularly charged per...

John Dewey's Pragmatism: Implications for Reflection in Service-Learning

ERIC Educational Resources Information Center

Maddux, Harry Clark; Donnett, Deborah

2015-01-01

This essay examines the relationship of philosophical pragmatism to the practice of reflection in service-learning. Service-learning theory and practice often elides over or ignores entirely the principles of inquiry as developed by Dewey. The exercise of reflective thought requires that educators create a situation of discomfort for learners, and…

Effects of selective excitotoxic lesions of the nucleus accumbens core, anterior cingulate cortex, and central nucleus of the amygdala on autoshaping performance in rats.

PubMed

Cardinal, Rudolf N; Parkinson, John A; Lachenal, Guillaume; Halkerston, Katherine M; Rudarakanchana, Nung; Hall, Jeremy; Morrison, Caroline H; Howes, Simon R; Robbins, Trevor W; Everitt, Barry J

2002-08-01

The nucleus accumbens core (AcbC), anterior cingulate cortex (ACC), and central nucleus of the amygdala (CeA) are required for normal acquisition of tasks based on stimulus-reward associations. However, it is not known whether they are involved purely in the learning process or are required for behavioral expression of a learned response. Rats were trained preoperatively on a Pavlovian autoshaping task in which pairing a visual conditioned stimulus (CS+) with food causes subjects to approach the CS+ while not approaching an unpaired stimulus (CS-). Subjects then received lesions of the AcbC, ACC, or CeA before being retested. AcbC lesions severely impaired performance; lesioned subjects approached the CS+ significantly less often than controls, failing to discriminate between the CS+ and CS-. ACC lesions also impaired performance but did not abolish discrimination entirely. CeA lesions had no effect on performance. Thus, the CeA is required for learning, but not expression, of a conditioned approach response, implying that it makes a specific contribution to the learning of stimulus-reward associations.

Learning by Doing: A Handbook for Professional Learning Communities at Work™ (Second Edition)-- Action Guide

ERIC Educational Resources Information Center

Solution Tree, 2010

2010-01-01

This action guide is intended to assist in the reading of and reflection upon "Learning by Doing: A Handbook for Professional Learning Communities at Work, Second Edition" by Richard DuFour, Rebecca DuFour, Richard Eaker, and Thomas Many. The guide can be used by an individual, a small group, or an entire faculty to identify key points,…

Telemedicine utilization to support the management of the burns treatment involving patient pathways in both developed and developing countries: a case study.

PubMed

Syed-Abdul, Shabbir; Scholl, Jeremiah; Chen, Chiehfeng Cliff; Santos, Martinho D P S; Jian, Wen-Shan; Liou, Der-Ming; Li, Yu-Chuan

2012-01-01

This case study reports on the utilization of telemedicine to support the management of the burns treatment in the islands of Sao Tome and Principe by Taipei Medical University-affiliated hospital in Taiwan. The authors share experiences about usage of telemedicine to support treatment of the burn victims in a low-income country that receive reconstructive surgery in a developed country. Throughout the entire care process, telemedicine has been used not only to provide an expert advice from distance but also to help establish and maintain the doctor-patient relationship, to keep patients in contact with their families, and to help educate and consult the medical personal physically present in Sao Tome and Principe. This case study presents the details of how this process has been conducted to date, on what were learned from this process, and on issues that should be considered to improve this process in the future. The authors plan to create instructional videos and post them on YouTube to aid clinical workers providing similar treatment during the acute care and rehabilitation process and also to support eLearning in many situations where it otherwise is not possible to use videoconferencing to establish real-time contact between doctors at the local site and remote specialists.

Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia.

PubMed

Chiu, Ming-Jang; Liu, Kristina; Hsieh, Ming H; Hwu, Hai-Gwo

2005-12-12

Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Letter string and color pattern artificial grammar learning performances were compared between 63 schizophrenic patients and 27 comparison subjects. Four symptom dimensions derived from a Chinese Positive and Negative Symptom Scale ratings were correlated with patients' artificial grammar implicit learning performances along the two stimulus dimensions. Patients' explicit memory performances were assessed by verbal paired associates and visual reproduction subtests of the Wechsler Memory Scales Revised Version to provide a contrast to their implicit memory function. Schizophrenia severely hindered color pattern artificial grammar learning while the disease affected lexical string artificial grammar learning to a lesser degree after correcting the influences from age, education and the performance of explicit memory function of both verbal and visual modalities. Both learning performances correlated significantly with the severity of patients' schizophrenic clinical symptom dimensions that reflect poor abstract thinking, disorganized thinking, and stereotyped thinking. The results of this study suggested that schizophrenia affects various mechanisms of artificial grammar learning differently. Implicit learning, knowledge acquisition in the absence of conscious awareness, is not entirely intact in patients with schizophrenia. Schizophrenia affects implicit learning through an impairment of the ability of making abstractions from rules and at least in part decreasing the capacity for perceptual learning.

Practice-Based Learning and Improvement for Institutions: A Case Report

PubMed Central

Kirk, Susan E.; Howell, R. Edward

2010-01-01

Background In 2006, the University of Virginia became one of the first academic medical institutions to be placed on probation, after the Accreditation Council for Graduate Medical Education (ACGME) Institutional Review Committee implemented a new classification system for institutional reviews. Intervention After University of Virginia reviewed its practices and implemented needed changes, the institution was able to have probation removed and full accreditation restored. Whereas graduate medical education committees and designated institutional officials are required to conduct internal reviews of each ACGME–accredited program midway through its accreditation cycle, no similar requirement exists for institutions. Learning As we designed corrective measures at the University of Virginia, we realized that regularly scheduled audits of the entire institution would have prevented the accumulation of deficiencies. We suggest that institutional internal reviews be implemented to ensure that the ACGME institutional requirements for graduate medical education are met. This process represents practice-based learning and improvement at the institutional level and may prevent other institutions from receiving unfavorable accreditation decisions. PMID:22132290

Language at Three Timescales: The Role of Real-Time Processes in Language Development and Evolution.

PubMed

McMurray, Bob

2016-04-01

Evolutionary developmental systems (evo-devo) theory stresses that selection pressures operate on entire developmental systems rather than just genes. This study extends this approach to language evolution, arguing that selection pressure may operate on two quasi-independent timescales. First, children clearly must acquire language successfully (as acknowledged in traditional evo-devo accounts) and evolution must equip them with the tools to do so. Second, while this is developing, they must also communicate with others in the moment using partially developed knowledge. These pressures may require different solutions, and their combination may underlie the evolution of complex mechanisms for language development and processing. I present two case studies to illustrate how the demands of both real-time communication and language acquisition may be subtly different (and interact). The first case study examines infant-directed speech (IDS). A recent view is that IDS underwent cultural to statistical learning mechanisms that infants use to acquire the speech categories of their language. However, recent data suggest is it may not have evolved to enhance development, but rather to serve a more real-time communicative function. The second case study examines the argument for seemingly specialized mechanisms for learning word meanings (e.g., fast-mapping). Both behavioral and computational work suggest that learning may be much slower and served by general-purpose mechanisms like associative learning. Fast-mapping, then, may be a real-time process meant to serve immediate communication, not learning, by augmenting incomplete vocabulary knowledge with constraints from the current context. Together, these studies suggest that evolutionary accounts consider selection pressure arising from both real-time communicative demands and from the need for accurate language development. Copyright © 2016 Cognitive Science Society, Inc.

The Transition from Traditional to Blended On-Campus Learning Experience

ERIC Educational Resources Information Center

Singleton, Devena M.

2012-01-01

Blended learning is the term used for a course with online and on-campus components. Multiple different versions have proliferated across higher education during the past decade. As with any new learning modality there are many issues which need to be addressed when considering a move of an entire institution's curriculum in this direction.…

E-Learning Change Management: Challenges and Opportunities

ERIC Educational Resources Information Center

Parlakkilic, Alaattin

2013-01-01

The role of e-learning technologies entirely depends on the acceptance and execution of required-change in the thinking and behaviour of the users of institutions. The research are constantly reporting that many e-learning projects are falling short of their objectives due to many reasons but on the top is the user resistance to change according…

The Road Not Taken: The Divergence of Corporate and Academic Web Instruction

ERIC Educational Resources Information Center

Ubell, Robert N.

2010-01-01

At first glance, academic online and corporate e-learning appear the same. Few are aware that Web learning at companies and in schools is quite distinct. Once instruction begins, they clearly fall into separate camps. At companies, e-learning is highly mediated by technology, with trainers disappearing entirely, replaced largely on monitors by…

E-Learning Implications for Adult Learning

ERIC Educational Resources Information Center

Criu, Roxana; Ceobanu, Ciprian

2013-01-01

If a few decades ago, "the education received in school could be in most of the cases enough to go with for the rest of one's entire life," today the situation has changed dramatically. The individual has to be prepared for a new type of life and training, namely lifelong learning. The individual's survival in society could…

ESTRELLA.

ERIC Educational Resources Information Center

Linking_Learning, 1998

1998-01-01

This newsletter issue is devoted entirely to the goals and achievements of Project Estrella (Encourage Students through Technology To Reach High Expectations in Learning, Lifeskills, and Achievement), one of six migrant education technology projects funded by the U.S. Department of Education. "ESTRELLA Connects for Learning" describes…

Development of the e-Baby serious game with regard to the evaluation of oxygenation in preterm babies: contributions of the emotional design.

PubMed

Fonseca, Luciana Mara Monti; Dias, Danielle Monteiro Vilela; Góes, Fernanda Dos Santos Nogueira; Seixas, Carlos Alberto; Scochi, Carmen Gracinda Silvan; Martins, José Carlos Amado; Rodrigues, Manuel Alves

2014-09-01

The present study aimed to describe the development process of a serious game that enables users to evaluate the respiratory process in a preterm infant based on an emotional design model. The e-Baby serious game was built to feature the simulated environment of an incubator, in which the user performs a clinical evaluation of the respiratory process in a virtual preterm infant. The user learns about the preterm baby's history, chooses the tools for the clinical evaluation, evaluates the baby, and determines whether his/her evaluation is appropriate. The e-Baby game presents phases that contain respiratory process impairments of higher or lower complexity in the virtual preterm baby. Included links give the user the option of recording the entire evaluation procedure and sharing his/her performance on a social network. e-Baby integrates a Clinical Evaluation of the Preterm Baby course in the Moodle virtual environment. This game, which evaluates the respiratory process in preterm infants, could support a more flexible, attractive, and interactive teaching and learning process that includes simulations with features very similar to neonatal unit realities, thus allowing more appropriate training for clinical oxygenation evaluations in at-risk preterm infants. e-Baby allows advanced user-technology-educational interactions because it requires active participation in the process and is emotionally integrated.

[Pre-verbality in focusing and the need for self check. An attempt at "focusing check"].

PubMed

Masui, T; Ikemi, A; Murayama, S

1983-06-01

Though the Focusing process is not entirely non-verbal, in Focusing, careful attention is paid by the Focuser and the Listener to the pre-verbal experiential process. In other words, Focusing involves attending to the felt sense that is not easily expressed in words immediately. Hence, during the process of learning to Focus, the Focusing teacher attempts to communicate the experiences of Focusing to the student which are not easily done by words. Due to such difficulties, the Focusing student may (and quite frequently does) mistake the experiential process in Focusing with other processes. Often, the felt sense can be confused with other phenomena such as "autogenic discharge". Also the Focuser may not stay with the felt sense and drift into "free association" or frequently, certain processes in "meditation" can be confused with Focusing. Therefore, there is a need for a "check" by which the Focusing student can confirm the Focusing experience for himself. For the Focusing student, such a "check" serves not only to confirm the Focusing process, but also an aid to learning Focusing. We will report here a "Focusing Check" which we developed by translating Eugene Gendlin's "Focusing Check" and making several modifications in it so that it will be more understandable to the Japanese. Along with the "Focusing Check" we developed, the authors discuss the need for such a check.

Building customer capital through knowledge management processes in the health care context.

PubMed

Liu, Sandra S; Lin, Carol Yuh-Yun

2007-01-01

Customer capital is a value generated and an asset developed from customer relationships. Successfully managing these relationships is enhanced by knowledge management (KM) infrastructure that captures and transfers customer-related knowledge. The execution of such a system relies on the vision and determination of the top management team (TMT). The health care industry in today's knowledge economy encounters similar challenges of consumerism as its business sector. Developing customer capital is critical for hospitals to remain competitive in the market. This study aims to provide taxonomy for cultivating market-based organizational learning that leads to building of customer capital and attaining desirable financial performance in health care. With the advancement of technology, the KM system plays an important moderating role in the entire process. The customer capital issue has not been fully explored either in the business or the health care industry. The exploratory nature of such a pursuit calls for a qualitative approach. This study examines the proposed taxonomy with the case hospital. The lessons learned also are reflected with three US-based health networks. The TMT incorporated the knowledge process of conceptualization and transformation in their organizational mission. The market-oriented learning approach promoted by TMT helps with the accumulation and sharing of knowledge that prepares the hospital for the dynamics in the marketplace. Their key knowledge advancement relies on both the professional arena and the feedback of customers. The institutionalization of the KM system and organizational culture expands the hospital's customer capital. The implication is twofold: (1) the TMT is imperative for the success of building customer capital through KM process; and (2) the team effort should be enhanced with a learning culture and sharing spirit, in particular, active nurse participation in decision making and frontline staff's role in providing a delightfully surprising patient experience.

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

PubMed

Golosio, Bruno; Cangelosi, Angelo; Gamotina, Olesya; Masala, Giovanni Luca

2015-01-01

Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

SU-F-T-251: The Quality Assurance for the Heavy Patient Load Department in the Developing Country: The Primary Experience of An Entire Workflow QA Process Management in Radiotherapy

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

Xie, J; Wang, J; Peng, J

Purpose: To implement an entire workflow quality assurance (QA) process in the radiotherapy department and to reduce the error rates of radiotherapy based on the entire workflow management in the developing country. Methods: The entire workflow QA process management starts from patient registration to the end of last treatment including all steps through the entire radiotherapy process. Error rate of chartcheck is used to evaluate the the entire workflow QA process. Two to three qualified senior medical physicists checked the documents before the first treatment fraction of every patient. Random check of the treatment history during treatment was also performed.more » A total of around 6000 patients treatment data before and after implementing the entire workflow QA process were compared from May, 2014 to December, 2015. Results: A systemic checklist was established. It mainly includes patient’s registration, treatment plan QA, information exporting to OIS(Oncology Information System), documents of treatment QAand QA of the treatment history. The error rate derived from the chart check decreases from 1.7% to 0.9% after our the entire workflow QA process. All checked errors before the first treatment fraction were corrected as soon as oncologist re-confirmed them and reinforce staff training was accordingly followed to prevent those errors. Conclusion: The entire workflow QA process improved the safety, quality of radiotherapy in our department and we consider that our QA experience can be applicable for the heavily-loaded radiotherapy departments in developing country.« less

The Painting-Sponging Analogy for Chemical Equilibrium

NASA Astrophysics Data System (ADS)

Gamitz, Adoni

1997-05-01

An analogy for chemical equilibrium is presented, in which high school or younger students can follow the advance towards equilibrium and its final dynamic nature. The relative opposition between forward and backward processes in a real chemical reaction is exemplified by the distance of a road line that is painted by one person and erased by another, both with different skills and working speeds. The graphical results of the progress of the line distance is entirely similar to the increasing of products concentration in a chemical reaction starting from the reactants. In the analogy, the final equilibrium position is independent of the starting point, as well as in a real chemical process. A simple basic program is included for interactive learning purposes.

Team-Based Learning in a Subsection of a Veterinary Course as Compared to Standard Lectures

ERIC Educational Resources Information Center

Malone, Erin; Spieth, Amie

2012-01-01

Team-Based Learning (TBL) maximizes class time for student practice in complex problems using peer learning in an instructor-guided format. Generally entire courses are structured using the comprehensive guidelines of TBL. We used TBL in a subsection of a veterinary course to determine if it remained effective in this format. One section of the…

A Balanced Scorecard-Based Model for Evaluating E-Learning and Conventional Pedagogical Activities in Nursing

ERIC Educational Resources Information Center

Hovelja, Tomaž; Vavpotic, Damjan; Žvanut, Boštjan

2016-01-01

The evaluation of e-learning and conventional pedagogical activities in nursing programmes has focused either on a single pedagogical activity or the entire curriculum, and only on students' or teachers' perspective. The goal of this study was to design and test a novel approach for evaluation of e-learning and conventional pedagogical activities…

Alberta High School, College Elevate Learning with Rare Joint Venture

ERIC Educational Resources Information Center

Pearson, George

2012-01-01

The refusal by a group of parents in Olds, Alberta, in 2003 to accept a provincial grant to renovate their high school set in motion a remarkable collaboration that spawned an innovative learning campus for an entire community and beyond. The new Olds High School, which opened in 2010, is part of a new Community Learning Campus (CLC), a joint…

Weather: A Learning Center Approach to the Teaching of Social Studies. Instructional Activities Series.

ERIC Educational Resources Information Center

Bravard, Peggy

This unit, one in a series of teacher-developed materials for elementary geography, is based on a part of a social studies textbook, "Topics of Life," Book Two. One section proposes a learning center environment to make learning experiences in social studies possible throughout the entire school day. The text's section has been expanded for this…

Capacity Enablers and Barriers for Learning Analytics: Implications for Policy and Practice

ERIC Educational Resources Information Center

Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob

2014-01-01

The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…

Examining Residents' Strategic Mindfulness During Self-Regulated Learning of a Simulated Procedural Skill.

PubMed

Brydges, Ryan; Hatala, Rose; Mylopoulos, Maria

2016-07-01

Simulation-based training is currently embedded in most health professions education curricula. Without evidence for how trainees think about their simulation-based learning, some training techniques may not support trainees' learning strategies. This study explored how residents think about and self-regulate learning during a lumbar puncture (LP) training session using a simulator. In 2010, 20 of 45 postgraduate year 1 internal medicine residents attended a mandatory procedural skills training boot camp. Independently, residents practiced the entire LP skill on a part-task trainer using a clinical LP tray and proper sterile technique. We interviewed participants regarding how they thought about and monitored their learning processes, and then we conducted a thematic analysis of the interview data. The analysis suggested that participants considered what they could and could not learn from the simulator; they developed their self-confidence by familiarizing themselves with the LP equipment and repeating the LP algorithmic steps. Participants articulated an idiosyncratic model of learning they used to interpret the challenges and successes they experienced. Participants reported focusing on obtaining cerebrospinal fluid and memorizing the "routine" version of the LP procedure. They did not report much thinking about their learning strategies (eg, self-questioning). During simulation-based training, residents described assigning greater weight to achieving procedural outcomes and tended to think that the simulated task provided them with routine, generalizable skills. Over this typical 1-hour session, trainees did not appear to consider their strategic mindfulness (ie, awareness and use of learning strategies).

How To Recycle Water in Space

NASA Image and Video Library

2017-06-13

Nature has been recycling water on Earth for eons, and NASA is perfecting how to do it in space right now on the International Space Station. In constant operation for several years already, the Water Recovery System draws moisture from a number of sources to continuously provide astronauts with safe, clean drinking water. Follow the entire process in this video and learn how engineers are successfully turning yesterday’s coffee into tomorrow’s for these brave explorers! _______________________________________ FOLLOW THE SPACE STATION! Twitter: https://twitter.com/Space_Station Facebook: https://www.facebook.com/ISS Instagram: https://instagram.com/iss/

Meaningful and Purposeful Practice

ERIC Educational Resources Information Center

Clementi, Donna

2014-01-01

This article describes a graphic, designed by Clementi and Terrill, the authors of "Keys to Planning for Learning" (2013), visually representing the components that contribute to meaningful and purposeful practice in learning a world language, practice that leads to greater proficiency. The entire graphic is centered around the letter…

LANGUAGE AND THE MIND.

ERIC Educational Resources Information Center

CHOMSKY, NOAM

WITHIN THE GENERAL FRAMEWORK OF PRINCIPLES OF LEARNING, THE AUTHOR DISCUSSES THE LINGUISTIC RELATIONSHIP BETWEEN THE STUDY OF GRAMMAR AND UNIVERSAL GRAMMAR, AND HOW THIS RELATIONSHIP CORRELATES WITH THE MECHANISMS OF HUMAN PERCEPTION AND LEARNING. HE EMPHASIZES THAT LANGUAGE IS NEITHER ENTIRELY INNOVATIVE NOR A "HABIT STRUCTURE," BUT RATHER IS…

Marvelous Metals Matter!

ERIC Educational Resources Information Center

Tate, Kathleen; Doyle, Colin; Messina, Daniela; Warnecke, Brian; DePriter, Tiffany; Brillhart, Daniel

2018-01-01

The National Science Teachers Association (NSTA) (2014) sets forth that children learning science and engineering practices in the early years lays "the foundation for a progression of science learning in K-12 settings and throughout their entire lives." So, it is important to build upon children's natural curiosities and expose them to…

[Effects of Bromazepam in qEEG by type writing].

PubMed

Machado, Dionis; Bastos, Victor Hugo; Cunha, Marlo; Furtado, Vernon; Cagy, Maurício; Piedade, Roberto; Ribeiro, Pedro

2005-06-01

The efficiency with which an information is processed by the brain's neural circuitry can be altered by neuromodulators. The use of Bromazepam in the pharmacological treatment of anxiety disorders is due to its anxiolytic property. However, the effects of this benzodiazepine in motor learning tasks are not entirely understood. In this context, the goal of this study was to assess the effects of Bromazepam (6 mg) on psychophysiological, behavioral, and electrophysiological variables, during the process of learning a motor task. The sample consisted of 26 healthy individuals, of both sexes, between 19 and 36 years of age. The control (placebo) and experimental (Bromazepam 6 mg) groups were submitted to a typewriting task, in a randomized, double-blind design. The results did not reveal differences for phychophysiological and behavioral variables between the groups. Statistical tests pointed out to an interaction between condition and moment, and a hemisphere main effect, i.e. a reduction of relative power in the right hemisphere. This reduction suggests a specialization of the neural circuitry in the hemisphere contralateral to the finger used in the task. Such reduction is independent from the drug administration.

Use Hierarchical Storage and Analysis to Exploit Intrinsic Parallelism

NASA Astrophysics Data System (ADS)

Zender, C. S.; Wang, W.; Vicente, P.

2013-12-01

Big Data is an ugly name for the scientific opportunities and challenges created by the growing wealth of geoscience data. How to weave large, disparate datasets together to best reveal their underlying properties, to exploit their strengths and minimize their weaknesses, to continually aggregate more information than the world knew yesterday and less than we will learn tomorrow? Data analytics techniques (statistics, data mining, machine learning, etc.) can accelerate pattern recognition and discovery. However, often researchers must, prior to analysis, organize multiple related datasets into a coherent framework. Hierarchical organization permits entire dataset to be stored in nested groups that reflect their intrinsic relationships and similarities. Hierarchical data can be simpler and faster to analyze by coding operators to automatically parallelize processes over isomorphic storage units, i.e., groups. The newest generation of netCDF Operators (NCO) embody this hierarchical approach, while still supporting traditional analysis approaches. We will use NCO to demonstrate the trade-offs involved in processing a prototypical Big Data application (analysis of CMIP5 datasets) using hierarchical and traditional analysis approaches.

Monotone Increasing Binary Similarity and Its Application to Automatic Document-Acquisition of a Category

NASA Astrophysics Data System (ADS)

Suzuki, Izumi; Mikami, Yoshiki; Ohsato, Ario

A technique that acquires documents in the same category with a given short text is introduced. Regarding the given text as a training document, the system marks up the most similar document, or sufficiently similar documents, from among the document domain (or entire Web). The system then adds the marked documents to the training set to learn the set, and this process is repeated until no more documents are marked. Setting a monotone increasing property to the similarity as it learns enables the system to 1) detect the correct timing so that no more documents remain to be marked and to 2) decide the threshold value that the classifier uses. In addition, under the condition that the normalization process is limited to what term weights are divided by a p-norm of the weights, the linear classifier in which training documents are indexed in a binary manner is the only instance that satisfies the monotone increasing property. The feasibility of the proposed technique was confirmed through an examination of binary similarity and using English and German documents randomly selected from the Web.

A Pythonic Approach for Computational Geosciences and Geo-Data Processing

NASA Astrophysics Data System (ADS)

Morra, G.; Yuen, D. A.; Lee, S. M.

2016-12-01

Computational methods and data analysis play a constantly increasing role in Earth Sciences however students and professionals need to climb a steep learning curve before reaching a sufficient level that allows them to run effective models. Furthermore the recent arrival and new powerful machine learning tools such as Torch and Tensor Flow has opened new possibilities but also created a new realm of complications related to the completely different technology employed. We present here a series of examples entirely written in Python, a language that combines the simplicity of Matlab with the power and speed of compiled languages such as C, and apply them to a wide range of geological processes such as porous media flow, multiphase fluid-dynamics, creeping flow and many-faults interaction. We also explore ways in which machine learning can be employed in combination with numerical modelling. From immediately interpreting a large number of modeling results to optimizing a set of modeling parameters to obtain a desired optimal simulation. We show that by using Python undergraduate and graduate can learn advanced numerical technologies with a minimum dedicated effort, which in turn encourages them to develop more numerical tools and quickly progress in their computational abilities. We also show how Python allows combining modeling with machine learning as pieces of LEGO, therefore simplifying the transition towards a new kind of scientific geo-modelling. The conclusion is that Python is an ideal tool to create an infrastructure for geosciences that allows users to quickly develop tools, reuse techniques and encourage collaborative efforts to interpret and integrate geo-data in profound new ways.

Connecting intentional learning and cardiac specialty practice: The experiences of bachelor of science in nursing students.

PubMed

Rush, Kathy L; Wilson, Ryan; Costigan, Jeannine; Bannerman, Maggie; Donnelly, Sarah

2016-09-01

Internationally pre-registration education programs have ranged from entirely specialist to entirely generalist with varying degrees of specialty preparation in between. Students in generalist programs with specialty practice options may benefit from novel pedagogical approaches, such as intentional learning, to ease the transition from generalist to specialist practice. The purpose of this qualitative descriptive study was to understand undergraduate students' experiences of intentional learning in a 4-week consolidated cardiac specialty practicum. Eight students (7 females, 1 male) participated in a combination of weekly Blackboard discussions and an end-of-practicum focus group and completed a competency self-rating. Students had marred expectations about the integration of intentional learning in their specialty practice experience. They reflected advantages and disadvantages of both intentional and total patient care learning models but worked with their instructor to find the right balance that maximized learning. Students identified features that maximized intentional learning including open-ended questions, using learning versus workspaces, receiving feedback, and integrating peer interaction. Despite advancing their confidence and competence in specialty practice students remained anxious about their ability to assume the role of the graduate nurse in a years' time. Preparing a generalist nurse for the workforce needs to be balanced with meeting students' needs and increasing professional demands for specialty experiences in undergraduate nurse education programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

There's an Elephant in the Room: The Impact of Early Poverty and Neglect on Intelligence and Common Learning Disorders in Children, Adolescents, and Their Parents

ERIC Educational Resources Information Center

Bigelow, Brian J.

2006-01-01

Recognition of poverty and neglect is very important in formulating a practical diagnosis of children's and adolescent's learning disorders. Early brain development forms the basis of learning, behavior and health over the entire life span. Through accumulated stressors and lack of supports, early poverty undermines competent parenting which then…

Particle Swarm Optimization With Interswarm Interactive Learning Strategy.

PubMed

Qin, Quande; Cheng, Shi; Zhang, Qingyu; Li, Li; Shi, Yuhui

2016-10-01

The learning strategy in the canonical particle swarm optimization (PSO) algorithm is often blamed for being the primary reason for loss of diversity. Population diversity maintenance is crucial for preventing particles from being stuck into local optima. In this paper, we present an improved PSO algorithm with an interswarm interactive learning strategy (IILPSO) by overcoming the drawbacks of the canonical PSO algorithm's learning strategy. IILPSO is inspired by the phenomenon in human society that the interactive learning behavior takes place among different groups. Particles in IILPSO are divided into two swarms. The interswarm interactive learning (IIL) behavior is triggered when the best particle's fitness value of both the swarms does not improve for a certain number of iterations. According to the best particle's fitness value of each swarm, the softmax method and roulette method are used to determine the roles of the two swarms as the learning swarm and the learned swarm. In addition, the velocity mutation operator and global best vibration strategy are used to improve the algorithm's global search capability. The IIL strategy is applied to PSO with global star and local ring structures, which are termed as IILPSO-G and IILPSO-L algorithm, respectively. Numerical experiments are conducted to compare the proposed algorithms with eight popular PSO variants. From the experimental results, IILPSO demonstrates the good performance in terms of solution accuracy, convergence speed, and reliability. Finally, the variations of the population diversity in the entire search process provide an explanation why IILPSO performs effectively.

Fuzzy CMAC With incremental Bayesian Ying-Yang learning and dynamic rule construction.

PubMed

Nguyen, M N

2010-04-01

Inspired by the philosophy of ancient Chinese Taoism, Xu's Bayesian ying-yang (BYY) learning technique performs clustering by harmonizing the training data (yang) with the solution (ying). In our previous work, the BYY learning technique was applied to a fuzzy cerebellar model articulation controller (FCMAC) to find the optimal fuzzy sets; however, this is not suitable for time series data analysis. To address this problem, we propose an incremental BYY learning technique in this paper, with the idea of sliding window and rule structure dynamic algorithms. Three contributions are made as a result of this research. First, an online expectation-maximization algorithm incorporated with the sliding window is proposed for the fuzzification phase. Second, the memory requirement is greatly reduced since the entire data set no longer needs to be obtained during the prediction process. Third, the rule structure dynamic algorithm with dynamically initializing, recruiting, and pruning rules relieves the "curse of dimensionality" problem that is inherent in the FCMAC. Because of these features, the experimental results of the benchmark data sets of currency exchange rates and Mackey-Glass show that the proposed model is more suitable for real-time streaming data analysis.

A project-based geoscience curriculum: select examples

NASA Astrophysics Data System (ADS)

Brown, L. M.; Kelso, P. R.; White, R. J.; Rexroad, C. B.

2007-12-01

Principles of constructivist educational philosophy serve as a foundation for the recently completed National Science Foundation sponsored undergraduate curricular revision undertaken by the Geology Department of Lake Superior State University. We integrate lecture and laboratory sessions utilizing active learning strategies that focus on real-world geoscience experiences and problems. In this presentation, we discuss details of three research-like projects that require students to access original data, process and model the data using appropriate geological software, interpret and defend results, and disseminate results in reports, posters, and class presentations. The projects are from three upper division courses, Carbonate Systems, Sequence Stratigraphy, and Geophysical Systems, where teams of two to four students are presented with defined problems of durations ranging from a few weeks to an entire semester. Project goals and location, some background information, and specified dates and expectations for interim and final written and oral reports are provided to students. Some projects require the entire class to work on one data set, some require each team to be initially responsible for a portion of the project with teams ultimately merging data for interpretation and to arrive at final conclusions. Some projects require students to utilize data from appropriate geological web sites such as state geological surveys. Others require students to design surveys and utilize appropriate instruments of their choice for field data collection. Students learn usage and applications of appropriate geological software in compiling, processing, modeling, and interpreting data and preparing formal reports and presentations. Students uniformly report heightened interest and motivation when engaged in these projects. Our new curriculum has resulted in an increase in students" quantitative and interpretive skills along with dramatic improvement in communication and interpersonal skills related to group dynamics.

Pacesetter in Personalized Learning

ERIC Educational Resources Information Center

Jacobs, Joanne

2017-01-01

The Chicago International Charter School (CICS) Irving Park's middle school is one of 130 schools nationwide piloting the Summit Learning Program (SLP), developed--and offered entirely free--by Summit Public Schools, a high-performing charter network based in California. Summit's eight schools, two of them in Washington State, are known for an…

Do You Have a Strategy?

ERIC Educational Resources Information Center

Kalina, David

2006-01-01

Education is undergoing a transformation across the country as it responds to new understandings of the mechanisms for learning. These changes are affecting the physical environments where learning occurs, from individual rooms to entire building complexes. The impact of these trends on facilities is dramatic. Old classroom models will not support…

Challenge-Based Instruction: The VaNTH Biomechanics Learning Modules

ERIC Educational Resources Information Center

Barr, Ronald E.; Pandy, Marcus G.; Petrosino, Anthony J.; Roselli, Robert J.; Brophy, Sean; Freeman, Robert A.

2007-01-01

This paper presents the methodology and results of teaching an entire engineering course using challenge-based instruction. The challenges consisted of eight biomechanics multimedia learning modules developed by the authors as part of a broader NSF educational coalition. The biomechanics modules were presented in an undergraduate mechanical…

The Arts and the Inner Lives of Teachers.

ERIC Educational Resources Information Center

Powell, Mary Clare

1997-01-01

Creative Arts in Learning, a master's degree program at Lesley College Graduate School, acknowledges the importance of teacher creativity. By feeding teachers' inner lives, the arts can transform the tone of classrooms or entire schools. Courses in storytelling, visual arts, and drama help teachers demystify the arts, learn alternative…

Assessing Public Health Majors through the Use of e-Portfolios

ERIC Educational Resources Information Center

Crowel, Tara L.; Calamidas, Elizabeth

2016-01-01

When assessing an entire academic program, there are various possibilities; most require students to reflect holistically on knowledge learned. Final presentations, internships, theses, and dissertations all require the students to recall the entirety of their learning experience. These are more traditional ways to assess the student as well as…

Teachers Talking Together: The Power of Professional Community

ERIC Educational Resources Information Center

Nathan, Linda

2008-01-01

Schools that encourage teachers to do excellent work, as Boston Arts Academy (BAA) does, are "professional learning communities." A professional learning community exists when the entire faculty and staff, including the administration, work together towards a shared set of standards and assessments that are known to everyone, including…

Learning in a Chaotic Environment

ERIC Educational Resources Information Center

Goldman, Ellen; Plack, Margaret; Roche, Colleen; Smith, Jeffrey; Turley, Catherine

2009-01-01

Purpose: The purpose of this study is to understand how, when, and why emergency medicine residents learn while working in the chaotic environment of a hospital emergency room. Design/methodology/approach: This research used a qualitative interview methodology with thematic data analysis that was verified with the entire population of learners.…

The Apollo Expericence Lessons Learned for Constellation Lunar Dust Management

NASA Astrophysics Data System (ADS)

Wagner, Sandra

2006-09-01

Lunar dust will present significant challenges to NASA's Lunar Exploration Missions. The challenges can be overcome by using best practices in system engineering design. For successful lunar surface missions, all systems that come into contact with lunar dust must consider the effects throughout the entire design process. Interfaces between all these systems with other systems also must be considered. Incorporating dust management into Concept of Operations and Requirements development are the best place to begin to mitigate the risks presented by lunar dust. However, that is only the beginning. To be successful, every person who works on NASA's Constellation lunar missions must be mindful of this problem. Success will also require fiscal responsibility. NASA must learn from Apollo the root cause of problems caused by dust, and then find the most cost-effective solutions to address each challenge. This will require a combination of common sense existing technologies and promising, innovative technical solutions

How to reach linguistic consensus: a proof of convergence for the naming game.

PubMed

De Vylder, Bart; Tuyls, Karl

2006-10-21

In this paper we introduce a mathematical model of naming games. Naming games have been widely used within research on the origins and evolution of language. Despite the many interesting empirical results these studies have produced, most of this research lacks a formal elucidating theory. In this paper we show how a population of agents can reach linguistic consensus, i.e. learn to use one common language to communicate with one another. Our approach differs from existing formal work in two important ways: one, we relax the too strong assumption that an agent samples infinitely often during each time interval. This assumption is usually made to guarantee convergence of an empirical learning process to a deterministic dynamical system. Two, we provide a proof that under these new realistic conditions, our model converges to a common language for the entire population of agents. Finally the model is experimentally validated.

The Apollo Experience Lessons Learned for Constellation Lunar Dust Management

NASA Technical Reports Server (NTRS)

Wagner, Sandra

2006-01-01

Lunar dust will present significant challenges to NASA's Lunar Exploration Missions. The challenges can be overcome by using best practices in system engineering design. For successful lunar surface missions, all systems that come into contact with lunar dust must consider the effects throughout the entire design process. Interfaces between all these systems with other systems also must be considered. Incorporating dust management into Concept of Operations and Requirements development are the best place to begin to mitigate the risks presented by lunar dust. However, that is only the beginning. To be successful, every person who works on NASA's Constellation lunar missions must be mindful of this problem. Success will also require fiscal responsibility. NASA must learn from Apollo the root cause of problems caused by dust, and then find the most cost-effective solutions to address each challenge. This will require a combination of common sense existing technologies and promising, innovative technical solutions

Team Collaboration: Lessons Learned Report

NASA Technical Reports Server (NTRS)

Arterberrie, Rhonda Y.; Eubanks, Steven W.; Kay, Dennis R.; Prahst, Stephen E.; Wenner, David P.

2005-01-01

An Agency team collaboration pilot was conducted from July 2002 until June 2003 and then extended for an additional year. The objective of the pilot was to assess the value of collaboration tools and adoption processes as applied to NASA teams. In an effort to share knowledge and experiences, the lessons that have been learned thus far are documented in this report. Overall, the pilot has been successful. An entire system has been piloted - tools, adoption, and support. The pilot consisted of two collaboration tools, a team space and a virtual team meeting capability. Of the two tools that were evaluated, the team meeting tool has been more widely accepted. Though the team space tool has been met with a lesser degree of acceptance, the need for such a tool in the NASA environment has been evidenced. Both adoption techniques and support were carefully developed and implemented in a way that has been well received by the pilot participant community.

Lessons from a Space Analog on Adaptation for Long-Duration Exploration Missions.

PubMed

Anglin, Katlin M; Kring, Jason P

2016-04-01

Exploration missions to asteroids and Mars will bring new challenges associated with communication delays and more autonomy for crews. Mission safety and success will rely on how well the entire system, from technology to the human elements, is adaptable and resilient to disruptive, novel, or potentially catastrophic events. The recent NASA Extreme Environment Missions Operations (NEEMO) 20 mission highlighted this need and produced valuable "lessons learned" that will inform future research on team adaptation and resilience. A team of NASA, industry, and academic members used an iterative process to design a tripod shaped structure, called the CORAL Tower, for two astronauts to assemble underwater with minimal tools. The team also developed assembly procedures, administered training to the crew, and provided support during the mission. During the design, training, and assembly of the Tower, the team learned first-hand how adaptation in extreme environments depends on incremental testing, thorough procedures and contingency plans that predict possible failure scenarios, and effective team adaptation and resiliency for the crew and support personnel. Findings from NEEMO 20 provide direction on the design and testing process for future space systems and crews to maximize adaptation. This experience also underscored the need for more research on team adaptation, particularly how input and process factors affect adaption outcomes, the team adaptation iterative process, and new ways to measure the adaptation process.

Addressing key concepts in physical geography through interactive learning activities in an online geo-ICT environment

NASA Astrophysics Data System (ADS)

Verstraeten, Gert; Steegen, An; Martens, Lotte

2016-04-01

The increasing number of geospatial datasets and free online geo-ICT tools offers new opportunities for education in Earth Sciences. Geospatial technology indeed provides an environment through which interactive learning can be introduced in Earth Sciences curricula. However, the effectiveness of such e-learning approaches in terms of learning outcomes has rarely been addressed. Here, we present our experience with the implementation of digital interactive learning activities within an introductory Physical Geography course attended by 90 undergraduate students in Geography, Geology, Biology and Archaeology. Two traditional lectures were replaced by interactive sessions (each 2 h) in a flexible classroom where students had to work both in team and individually in order to explore some key concepts through the integrated use of geospatial data within Google EarthTM. A first interactive lesson dealt with the classification of river systems and aimed to examine the conditions under which rivers tend to meander or to develop a braided pattern. Students were required to collect properties of rivers (river channel pattern, channel slope, climate, discharge, lithology, vegetation, etc). All these data are available on a global scale and have been added as separate map layers in Google EarthTM. Each student collected data for at least two rivers and added this information to a Google Drive Spreadsheet accessible to the entire group. This resulted in a database of more than one hundred rivers spread over various environments worldwide. In a second phase small groups of students discussed the potential relationships between river channel pattern and its controlling factors. Afterwards, the findings of each discussion group were presented to the entire audience. The same set-up was followed in a second interactive session to explore spatial variations in ecosystem properties such as net primary production and soil carbon content. The qualitative evaluation of both interactive sessions showed that the majority of students perceive these as very useful and inspiring. Students were more capable in exploring the spatial linkages between various environmental variables and processes compared to traditional lectures. Furthermore, the format of the sessions offered a forum in which undergraduate students from a variety of disciplines discussed the learning content in mixed groups. The success of interactive learning activities, however, strongly depends on the quality of the educational infrastructure (flexible spaces, wireless connections with sufficient broadband capacity).

Using sound to solve syntactic problems: the role of phonology in grammatical category assignments.

PubMed

Kelly, M H

1992-04-01

One ubiquitous problem in language processing involves the assignment of words to the correct grammatical category, such as noun or verb. In general, semantic and syntactic cues have been cited as the principal information for grammatical category assignment, to the neglect of possible phonological cues. This neglect is unwarranted, and the following claims are made: (a) Numerous correlations between phonology and grammatical class exist, (b) some of these correlations are large and can pervade the entire lexicon of a language and hence can involve thousands of words, (c) experiments have repeatedly found that adults and children have learned these correlations, and (d) explanations for how these correlations arose can be proposed and evaluated. Implications of these phenomena for language representation and processing are discussed.

Distance Metric Tracking

DTIC Science & Technology

2016-03-02

some close- ness constant and dissimilar pairs be more distant than some larger constant. Online and non -linear extensions to the ITML methodology are...is obtained, instead of solving an objective function formed from the entire dataset. Many online learning methods have regret guarantees, that is... function Metric learning seeks to learn a metric that encourages data points marked as similar to be close and data points marked as different to be far

Let's Get Real: Deeper Learning and the Power of the Workplace. Deeper Learning Research Series. Executive Summary

ERIC Educational Resources Information Center

Hoffman, Nancy

2015-01-01

In the United States, we tend to assume that young people should become educated and then go to work, as though the two were entirely separate stages of life. This dichotomy blinds us to the fact that work itself can be a powerful means of education. Indeed, the workplace is where many young people become most engaged in learning high-level skills…

Selective inactivation of adenosine A2A receptors in striatal neurons enhances working memory and reversal learning

PubMed Central

Wei, Catherine J.; Singer, Philipp; Coelho, Joana; Boison, Detlev; Feldon, Joram; Yee, Benjamin K.; Chen, Jiang-Fan

2011-01-01

The adenosine A2A receptor (A2AR) is highly enriched in the striatum where it is uniquely positioned to integrate dopaminergic, glutamatergic, and other signals to modulate cognition. Although previous studies support the hypothesis that A2AR inactivation can be pro-cognitive, analyses of A2AR's effects on cognitive functions have been restricted to a small subset of cognitive domains. Furthermore, the relative contribution of A2ARs in distinct brain regions remains largely unknown. Here, we studied the regulation of multiple memory processes by brain region-specific populations of A2ARs. Specifically, we evaluated the cognitive impacts of conditional A2AR deletion restricted to either the entire forebrain (i.e., cerebral cortex, hippocampus, and striatum, fb-A2AR KO) or to striatum alone (st-A2AR KO) in recognition memory, working memory, reference memory, and reversal learning. This comprehensive, comparative analysis showed for the first time that depletion of A2AR-dependent signaling in either the entire forebrain or striatum alone is associated with two specific phenotypes indicative of cognitive flexibility—enhanced working memory and enhanced reversal learning. These selective pro-cognitive phenotypes seemed largely attributed to inactivation of striatal A2ARs as they were captured by A2AR deletion restricted to striatal neurons. Neither spatial reference memory acquisition nor spatial recognition memory were grossly affected, and no evidence for compensatory changes in striatal or cortical D1, D2, or A1 receptor expression was found. This study provides the first direct demonstration that targeting striatal A2ARs may be an effective, novel strategy to facilitate cognitive flexibility under normal and pathologic conditions. PMID:21693634

Enhancement of a Virtual Geology Field Guide of Georgia Initiative Using Gigapan© and ArcGIS Online's Story Map

NASA Astrophysics Data System (ADS)

Mobasher, K.; Turk, H. J.; Witherspoon, W.; Tate, L.; Hoynes, J.

2015-12-01

A GIS geology geodatabase of Georgia was developed using ArcGIS 10.2. The geodatabase for each physiographic provinces of Georgia contains fields designed to store information regarding geologic features. Using ArcGIS online, the virtual field guide is created which provides an interactive learning experience for students to allow in real time photography, description, mapping and sharing their observations with the instructor and peers. Gigapan© facilitates visualizing geologic features at different scales with high resolutions and in their larger surrounding context. The classroom applications of the Gigapan© are limitless when teaching students the entire range of geologic structures from showcasing crystalline structures of minerals to understanding the geological processes responsible for formation of an entire mountain range. The addition of the Story Map enhances the virtual experience when you want to present a geo-located story point narrative featuring images or videos. The virtual field component and supplementary Gigapan© imagery coupled with Story Map added significantly to the detailed realism of virtual field guide further allowing students to more fully understand geological concepts at various scales. These technologies peaked students interest and facilitated their learning and preparation to function more effectively in the geosciences by developing better observations and new skills. These technologies facilitated increased student engagement in the geosciences by sharing, enhancing and transferring lecture information to actual field knowledge and experiences. This enhanced interactive learning experience not only begins to allow students to understand and recognize geologic features in the field but also increased their collaboration, enthusiasm and interest in the discipline. The increased interest and collaboration occurred as students assisted in populating a geologic geodatabase of Georgia.

Selective inactivation of adenosine A(2A) receptors in striatal neurons enhances working memory and reversal learning.

PubMed

Wei, Catherine J; Singer, Philipp; Coelho, Joana; Boison, Detlev; Feldon, Joram; Yee, Benjamin K; Chen, Jiang-Fan

2011-01-01

The adenosine A(2A) receptor (A(2A)R) is highly enriched in the striatum where it is uniquely positioned to integrate dopaminergic, glutamatergic, and other signals to modulate cognition. Although previous studies support the hypothesis that A(2A)R inactivation can be pro-cognitive, analyses of A(2A)R's effects on cognitive functions have been restricted to a small subset of cognitive domains. Furthermore, the relative contribution of A(2A)Rs in distinct brain regions remains largely unknown. Here, we studied the regulation of multiple memory processes by brain region-specific populations of A(2A)Rs. Specifically, we evaluated the cognitive impacts of conditional A(2A)R deletion restricted to either the entire forebrain (i.e., cerebral cortex, hippocampus, and striatum, fb-A(2A)R KO) or to striatum alone (st-A(2A)R KO) in recognition memory, working memory, reference memory, and reversal learning. This comprehensive, comparative analysis showed for the first time that depletion of A(2A)R-dependent signaling in either the entire forebrain or striatum alone is associated with two specific phenotypes indicative of cognitive flexibility-enhanced working memory and enhanced reversal learning. These selective pro-cognitive phenotypes seemed largely attributed to inactivation of striatal A(2A)Rs as they were captured by A(2A)R deletion restricted to striatal neurons. Neither spatial reference memory acquisition nor spatial recognition memory were grossly affected, and no evidence for compensatory changes in striatal or cortical D(1), D(2), or A(1) receptor expression was found. This study provides the first direct demonstration that targeting striatal A(2A)Rs may be an effective, novel strategy to facilitate cognitive flexibility under normal and pathologic conditions.

The impact of a faculty learning community on professional and personal development: the facilitator training program of the American Academy on Communication in Healthcare.

PubMed

Chou, Calvin L; Hirschmann, Krista; Fortin, Auguste H; Lichstein, Peter R

2014-07-01

Relationship-centered care attends to the entire network of human relationships essential to patient care. Few faculty development programs prepare faculty to teach principles and skills in relationship-centered care. One exception is the Facilitator Training Program (FTP), a 25-year-old training program of the American Academy on Communication in Healthcare. The authors surveyed FTP graduates to determine the efficacy of its curriculum and the most important elements for participants' learning. In 2007, surveys containing quantitative and narrative elements were distributed to 51 FTP graduates. Quantitative data were analyzed using descriptive statistics. The authors analyzed narratives using Burke's dramatistic pentad as a qualitative framework to delineate how interrelated themes interacted in the FTP. Forty-seven respondents (92%) identified two essential acts that happened in the program: an iterative learning process, leading to heightened personal awareness and group facilitation skills; and longevity of learning and effect on career. The structure of the program's learning community provided the scene, and the agents were the participants, who provided support and contributed to mutual success. Methods of developing skills in personal awareness, group facilitation, teaching, and feedback constituted agency. The purpose was to learn skills and to join a community to share common values. The FTP is a learning community that provided faculty with skills in principles of relationship-centered care. Four further features that describe elements of this successful faculty-based learning community are achievement of self-identified goals, distance learning modalities, opportunities to safely discuss workplace issues outside the workplace, and self-renewing membership.

Geostationary Lightning Mapper: Lessons Learned from Post Launch Test

NASA Astrophysics Data System (ADS)

Edgington, S.; Tillier, C. E.; Demroff, H.; VanBezooijen, R.; Christian, H. J., Jr.; Bitzer, P. M.

2017-12-01

Pre-launch calibration and algorithm design for the GOES Geostationary Lightning Mapper resulted in a successful and trouble-free on-orbit activation and post-launch test sequence. Within minutes of opening the GLM aperture door on January 4th, 2017, lightning was detected across the entire field of view. During the six-month post-launch test period, numerous processing parameters on board the instrument and in the ground processing algorithms were fine-tuned. Demonstrated on-orbit performance exceeded pre-launch predictions. We provide an overview of the ground calibration sequence, on-orbit tuning of the instrument, tuning of the ground processing algorithms (event filtering and navigation). We also touch on new insights obtained from analysis of a large and growing archive of raw GLM data, containing 3e8 flash detections derived from over 1e10 full-disk images of the Earth.

Transfer of dimensional associability in human contingency learning.

PubMed

Kattner, Florian; Green, C Shawn

2016-01-01

Several studies have demonstrated processing advantages for stimuli that were experienced to be reliable predictors of an outcome relative to other stimuli. The present study tested whether such increases in associability apply at the level of entire stimulus dimensions (as suggested by Sutherland & Mackintosh, 1971). In 4 experiments, participants had to learn associations between Gabor gratings and particular responses. In a first experiment, some gratings were more predictive of the response than other gratings, whereas in 3 subsequent experiments, one stimulus dimension (i.e., either the orientation or spatial frequency of the grating) was more predictive than the other dimension. In contrast to the learned predictiveness of individual gratings (Experiment 1), dimensional predictiveness did not affect the subsequent rate of learning (Experiments 2 and 3), suggesting changes in the associability of specific stimuli, but not of stimulus dimensions. Moreover, greater transfer of predictiveness was found in all experiments when particular stimulus values of the test discrimination did not lie between the previously relevant stimuli. In Experiment 4, an increased learning rate was found for discriminations along the previously predictive dimension compared with a dimension that was indicative of uncertainty, but again the transfer was more pronounced for specific stimuli that were compatible with the previously learned discrimination. Taken together, the results imply that a transfer of associability typically applies to individual stimuli and depends on how the transfer stimuli relate to those stimuli that individuals previously learned to attend. (c) 2016 APA, all rights reserved).

The Spice of Life? Ensuring Variety When Teaching about the Treaty of Versailles

ERIC Educational Resources Information Center

Benaiges, Phil

2005-01-01

Much has been said and written about different learning styles in recent years. Some people have responded with evangelical enthusiasm, others exercise a more cautious approach, whilst a few disregard it completely. Certainly, there are problems in allowing learning style "audits" to shape our teaching strategies entirely. But one…

Growing-Making Mathematics: A Dynamic Perspective on People, Materials, and Movement in Classrooms

ERIC Educational Resources Information Center

Roth, Wolff-Michael

2016-01-01

Recent theoretical advances on learning (mathematics) emphasize the fact that what results from engagement with curriculum materials is not entirely in the control of the students in the way classical theories of knowing and learning suggest. These new theories distinguish themselves by either invoking distributed agency, some of which is…

Enhancing the Teaching of Introductory Economics with a Team-Based, Multi-Section Competition

ERIC Educational Resources Information Center

Beaudin, Laura; Berdiev, Aziz N.; Kaminaga, Allison Shwachman; Mirmirani, Sam; Tebaldi, Edinaldo

2017-01-01

The authors describe a unique approach to enhancing student learning at the introductory economics level that utilizes a multi-section, team-based competition. The competition is structured to supplement learning throughout the entire introductory course. Student teams are presented with current economic issues, trends, or events, and use economic…

Flipped Higher Education Classroom: An Application in Environmental Education Course in Primary Education

ERIC Educational Resources Information Center

Yilmaz, Özkan

2017-01-01

Usage of technology in educational settings is becoming a standard for 21st century's learners. Flipped classroom presents an entirely new learning environment based on technology for students, thus requiring different research for establishing effective learning and teaching. This paper aimed to explore usability of flipped classroom in higher…

Down with Walls, Up with Malls: Taking Classes to the Shopping Centers.

ERIC Educational Resources Information Center

Duerden, Noel H.

1980-01-01

Learn and Shop, a concept of offering university credit courses by university faculty in shopping centers which was developed by Indiana University-Purdue University in Indianapolis, is described. The Learn and Shop curriculum permits individuals to earn a two-year associate degree in liberal arts entirely at shopping centers. (MLW)

GPE 2020: Improving Learning and Equity through Stronger Education Systems. Strategic Plan 2016-2020

ERIC Educational Resources Information Center

Global Partnership for Education, 2016

2016-01-01

The Global Partnership for Education (GPE) addresses the most significant education challenges faced by developing countries through supporting governments to improve equity and learning by strengthening their education systems. GPE is a global fund and a partnership focused entirely on education in developing countries. The partnership has a…

Transforming American Education: Learning Powered by Technology. National Education Technology Plan, 2010

ERIC Educational Resources Information Center

US Department of Education, 2010

2010-01-01

This report presents the Administration's National Education Technology Plan. This plan calls for applying the advanced technologies used in everyone's daily personal and professional lives to the entire education system to improve student learning, accelerate and scale up the adoption of effective practices, and use data and information for…

A Smooth Road from Conventional Teaching to Distance Learning in Teacher Education

ERIC Educational Resources Information Center

Nishinosono, Haruo

2002-01-01

As a result of rapid developments in information and communication technology (ICT), dramatic changes are taking place in approaches to teaching and learning in university and school classrooms. These changes offer new opportunities to explore entirely new methods of instruction in teacher education. ICT provides alternatives to conventional…

Managing Large-Enrollment Courses in Hybrid Instruction Mode

ERIC Educational Resources Information Center

Khanna, Pooja

2016-01-01

This essay addresses the hitches and glitches in the hybrid instruction system of teaching and learning for large-enrollment courses. This new instructional methodology asks facilitators to redesign their entire traditional teaching and learning practices. The nature of subject to be taught via the hybrid mode further affects the success rate of…

Adaptivity in Educational Systems for Language Learning: A Review

ERIC Educational Resources Information Center

Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar

2017-01-01

Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…

The History of Adult Education in Greece.

ERIC Educational Resources Information Center

Boucouvalas, Marcie

Adult education in Greece dates back to the time of Homer. Poetry and Panhellenic festivals were the earliest forms of adult education in Greece. By classical times, however, an entire learning society of human and material resources had been developed. Greek society experienced periods of high levels of culture and learning only to be conquered…

Value-driven attentional capture in the auditory domain.

PubMed

Anderson, Brian A

2016-01-01

It is now well established that the visual attention system is shaped by reward learning. When visual features are associated with a reward outcome, they acquire high priority and can automatically capture visual attention. To date, evidence for value-driven attentional capture has been limited entirely to the visual system. In the present study, I demonstrate that previously reward-associated sounds also capture attention, interfering more strongly with the performance of a visual task. This finding suggests that value-driven attention reflects a broad principle of information processing that can be extended to other sensory modalities and that value-driven attention can bias cross-modal stimulus competition.

A case study of urban student and teacher experiences surrounding an outdoor environmental science field trip

NASA Astrophysics Data System (ADS)

Preusch, Peggy L.

2009-12-01

Field trips provide opportunities for students to experience many different contexts beyond the classroom, and are a popular choice of K-12 teachers in the US. Recent interest in learning that occurs at informal science education centers such as museums, zoos and aquariums has stimulated studies of the relationship between learning in and outside of schools. Although many studies focus on the teachers, the contexts, and/or the students during the field trip, only a few look at the entire process of learning by including the classroom setting before and after the field trip. This study was designed to develop understandings of the student process of learning during and surrounding an environmental science field trip to an outdoor setting. John Dewey's extensive writings on the relationship between experience and learning informed the analysis, creating a focus on active and passive elements of the experience, continuity within and across contexts, the interactive nature of the experience and the importance of subject matter. An exploration of environmental education (EE), environmental science (ES), and nature study as content revealed the complexities of the subject matter of the field trip that make its presentation problematic. An urban school was chosen to contribute to the research literature about urban student learning in outdoor environments. During the field trip, the students' active engagement with each other and the environment supported meaningful remembrances of the field trip experiences during interviews after the field trip. The students accurately described plants and animals they had observed in different habitats during the field trip. They also made connections with their home life and prior experiences in the outdoors as they discussed the field trip and drew pictures that represented their experiences. One student integrated his outdoor experience with a language arts assignment as he reflected deeply on the field trip. One implication of this study is that educational experiences in outdoor natural environments are complex in ways that contribute to lack of continuity between science lessons in an elementary classroom and environmental science field trip. Long term relationships between schools and informal settings that recognize the strengths of both contexts in terms of student learning processes surrounding field trip experiences are needed to strengthen the educative process for field trip participants.

Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection

NASA Astrophysics Data System (ADS)

Jenuwine, Natalia M.; Mahesh, Sunny N.; Furst, Jacob D.; Raicu, Daniela S.

2018-02-01

Early detection of lung nodules from CT scans is key to improving lung cancer treatment, but poses a significant challenge for radiologists due to the high throughput required of them. Computer-Aided Detection (CADe) systems aim to automatically detect these nodules with computer algorithms, thus improving diagnosis. These systems typically use a candidate selection step, which identifies all objects that resemble nodules, followed by a machine learning classifier which separates true nodules from false positives. We create a CADe system that uses a 3D convolutional neural network (CNN) to detect nodules in CT scans without a candidate selection step. Using data from the LIDC database, we train a 3D CNN to analyze subvolumes from anywhere within a CT scan and output the probability that each subvolume contains a nodule. Once trained, we apply our CNN to detect nodules from entire scans, by systematically dividing the scan into overlapping subvolumes which we input into the CNN to obtain the corresponding probabilities. By enabling our network to process an entire scan, we expect to streamline the detection process while maintaining its effectiveness. Our results imply that with continued training using an iterative training scheme, the one-step approach has the potential to be highly effective.

A New Approach to Develop Computer-aided Diagnosis Scheme of Breast Mass Classification Using Deep Learning Technology

PubMed Central

Qiu, Yuchen; Yan, Shiju; Gundreddy, Rohith Reddy; Wang, Yunzhi; Cheng, Samuel; Liu, Hong; Zheng, Bin

2017-01-01

PURPOSE To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses. METHODS An image dataset involving 560 regions of interest (ROIs) extracted from digital mammograms was used. After down-sampling each ROI from 512×512 to 64×64 pixel size, we applied an 8 layer deep learning network that involves 3 pairs of convolution-max-pooling layers for automatic feature extraction and a multiple layer perceptron (MLP) classifier for feature categorization to process ROIs. The 3 pairs of convolution layers contain 20, 10, and 5 feature maps, respectively. Each convolution layer is connected with a max-pooling layer to improve the feature robustness. The output of the sixth layer is fully connected with a MLP classifier, which is composed of one hidden layer and one logistic regression layer. The network then generates a classification score to predict the likelihood of ROI depicting a malignant mass. A four-fold cross validation method was applied to train and test this deep learning network. RESULTS The results revealed that this CAD scheme yields an area under the receiver operation characteristic curve (AUC) of 0.696±0.044, 0.802±0.037, 0.836±0.036, and 0.822±0.035 for fold 1 to 4 testing datasets, respectively. The overall AUC of the entire dataset is 0.790±0.019. CONCLUSIONS This study demonstrates the feasibility of applying a deep learning based CAD scheme to classify between malignant and benign breast masses without a lesion segmentation, image feature computation and selection process. PMID:28436410

A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

PubMed

Qiu, Yuchen; Yan, Shiju; Gundreddy, Rohith Reddy; Wang, Yunzhi; Cheng, Samuel; Liu, Hong; Zheng, Bin

2017-01-01

To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses. An image dataset involving 560 regions of interest (ROIs) extracted from digital mammograms was used. After down-sampling each ROI from 512×512 to 64×64 pixel size, we applied an 8 layer deep learning network that involves 3 pairs of convolution-max-pooling layers for automatic feature extraction and a multiple layer perceptron (MLP) classifier for feature categorization to process ROIs. The 3 pairs of convolution layers contain 20, 10, and 5 feature maps, respectively. Each convolution layer is connected with a max-pooling layer to improve the feature robustness. The output of the sixth layer is fully connected with a MLP classifier, which is composed of one hidden layer and one logistic regression layer. The network then generates a classification score to predict the likelihood of ROI depicting a malignant mass. A four-fold cross validation method was applied to train and test this deep learning network. The results revealed that this CAD scheme yields an area under the receiver operation characteristic curve (AUC) of 0.696±0.044, 0.802±0.037, 0.836±0.036, and 0.822±0.035 for fold 1 to 4 testing datasets, respectively. The overall AUC of the entire dataset is 0.790±0.019. This study demonstrates the feasibility of applying a deep learning based CAD scheme to classify between malignant and benign breast masses without a lesion segmentation, image feature computation and selection process.

A System-Oriented Approach for the Optimal Control of Process Chains under Stochastic Influences

NASA Astrophysics Data System (ADS)

Senn, Melanie; Schäfer, Julian; Pollak, Jürgen; Link, Norbert

2011-09-01

Process chains in manufacturing consist of multiple connected processes in terms of dynamic systems. The properties of a product passing through such a process chain are influenced by the transformation of each single process. There exist various methods for the control of individual processes, such as classical state controllers from cybernetics or function mapping approaches realized by statistical learning. These controllers ensure that a desired state is obtained at process end despite of variations in the input and disturbances. The interactions between the single processes are thereby neglected, but play an important role in the optimization of the entire process chain. We divide the overall optimization into two phases: (1) the solution of the optimization problem by Dynamic Programming to find the optimal control variable values for each process for any encountered end state of its predecessor and (2) the application of the optimal control variables at runtime for the detected initial process state. The optimization problem is solved by selecting adequate control variables for each process in the chain backwards based on predefined quality requirements for the final product. For the demonstration of the proposed concept, we have chosen a process chain from sheet metal manufacturing with simplified transformation functions.

A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action.

PubMed

Abadi, Shiran; Yan, Winston X; Amar, David; Mayrose, Itay

2017-10-01

The adaptation of the CRISPR-Cas9 system as a genome editing technique has generated much excitement in recent years owing to its ability to manipulate targeted genes and genomic regions that are complementary to a programmed single guide RNA (sgRNA). However, the efficacy of a specific sgRNA is not uniquely defined by exact sequence homology to the target site, thus unintended off-targets might additionally be cleaved. Current methods for sgRNA design are mainly concerned with predicting off-targets for a given sgRNA using basic sequence features and employ elementary rules for ranking possible sgRNAs. Here, we introduce CRISTA (CRISPR Target Assessment), a novel algorithm within the machine learning framework that determines the propensity of a genomic site to be cleaved by a given sgRNA. We show that the predictions made with CRISTA are more accurate than other available methodologies. We further demonstrate that the occurrence of bulges is not a rare phenomenon and should be accounted for in the prediction process. Beyond predicting cleavage efficiencies, the learning process provides inferences regarding patterns that underlie the mechanism of action of the CRISPR-Cas9 system. We discover that attributes that describe the spatial structure and rigidity of the entire genomic site as well as those surrounding the PAM region are a major component of the prediction capabilities.

Understanding Science: Frameworks for using stories to facilitate systems thinking

NASA Astrophysics Data System (ADS)

ElShafie, S. J.; Bean, J. R.

2017-12-01

Studies indicate that using a narrative structure for teaching and learning helps audiences to process and recall new information. Stories also help audiences retain specific information, such as character names or plot points, in the context of a broader narrative. Stories can therefore facilitate high-context systems learning in addition to low-context declarative learning. Here we incorporate a framework for science storytelling, which we use in communication workshops, with the Understanding Science framework developed by the UC Museum of Paleontology (UCMP) to explore the application of storytelling to systems thinking. We translate portions of the Understanding Science flowchart into narrative terms. Placed side by side, the two charts illustrate the parallels between the scientific process and the story development process. They offer a roadmap for developing stories about scientific studies and concepts. We also created a series of worksheets for use with the flowcharts. These new tools can generate stories from any perspective, including a scientist conducting a study; a character that plays a role in a larger system (e.g., foraminifera or a carbon atom); an entire system that interacts with other systems (e.g., the carbon cycle). We will discuss exemplar stories about climate change from each of these perspectives, which we are developing for workshops using content and storyboard models from the new UCMP website Understanding Global Change. This conceptual framework and toolkit will help instructors to develop stories about scientific concepts for use in a classroom setting. It will also help students to analyze stories presented in class, and to create their own stories about new concepts. This approach facilitates student metacognition of the learning process, and can also be used as a form of evaluation. We are testing this flowchart and its use in systems teaching with focus groups, in preparation for use in teacher professional development workshops.

[Evolution of dissociative learning].

PubMed

Azarashvili, A A

2010-01-01

This review considers data obtained during the entire research period of state-dependent learning. Understanding of this phenomenon has significantly evolved during the past decades, as a result of the increasing amount of facts revealed while studying state-dependent learning. Consequently, a situation has arisen where different papers may describe same phenomena using different terms. This does not promote understanding of the described phenomena. Therefore a need for a paper emerged, that would analyze the evolution of state-dependent learning and would offer terminology corresponding to all the data collected on the subject.

Investigating Student Attitudes toward a Synchronous, Online Graduate Course in a Multi-User Virtual Learning Environment

ERIC Educational Resources Information Center

Annetta, Leonard; Murray, Marshall; Gull Laird, Shelby; Bohr, Stephanie; Park, John

2008-01-01

This article describes a graduate distance education course at North Carolina State University, which combined science content and pedagogy with video game design. The course was conducted entirely in a synchronous, online, Virtual Learning Environment (VLE) through the ActiveWorlds[TM] platform. Inservice teachers enrolled as graduate students in…

Faculty Perspectives on Moving from Blackboard to the Moodle Learning Management System

ERIC Educational Resources Information Center

Beatty, Brian; Ulasewicz, Connie

2006-01-01

Online teaching and learning has been in transition for its entire existence. The number of courses offered at a distance has grown rapidly. According to the National Center for Education Statistics (Waits & Lewis, 2003), in 2000-2001 more than 56% of four-year colleges and universities in the United States offered distance education degree…

PRESCHOOL PREDICTION AND PREVENTION OF LEARNING DISABILITIES.

ERIC Educational Resources Information Center

BEERY, KEITH E.

THE OBJECTIVES OF THIS INITIAL REPORT OF A FOUR-YEAR PROJECT WERE (1) TO DEMONSTRATE A METHOD FOR THE PREDICTION AND PREVENTION OF LEARNING DISABILITIES, (2) TO FOSTER UNDERSTANDING OF CHILD DEVELOPMENT AMONG TEACHERS, PARENTS, AND PHYSICIANS. SUBJECTS WERE THE 3 1/2 TO 5 1/2 YEAR OLD CHILDREN OF AN ENTIRE SCHOOL DISTRICT. RESEARCHERS WERE…

Migrating Learning Management Systems: A Case of a Large Public University

ERIC Educational Resources Information Center

Such, Brenda L. R.; Ritzhaupt, Albert D.; Thompson, George S.

2017-01-01

In the past 20 years, institutions of higher education have made major investments in Learning Management Systems (LMSs). As institutions have integrated the LMS into campus culture, the potential of migrating to not only an upgraded version of the LMS, but also an entirely different LMS, has become a reality. This qualitative research study…

Problematic but Possible: Online Teaching and Learning in Post-Registration Programmes

ERIC Educational Resources Information Center

Cassar, Maria; Trapani, Josef

2014-01-01

This artifact identifies the main challenges experienced by the authors, both nurse educators, in the delivery of a module on evidence based practice exclusively through the use of an e-learning platform. The module has been running for the past four years as part of an entirely online post registration programme for qualified health professionals…

Graduate Business Students Perceptions of Online Learning: A Five Year Comparison

ERIC Educational Resources Information Center

Perreault, Heidi; Waldman, Lila; Alexander, Melody; Zhao, Jensen

2008-01-01

This study compared graduate business students' access to online graduate programs and their perceptions relating to online learning over a five-year period. Student input was provided during 2001 and 2006. Students in 2006 had greater access to entire graduate programs being offered online than did the 2001 students. The students in 2006 felt…

Teaching Technology to Hispanic Youth: A Report on Factors Affecting Students' Learning. Research Report No. 46

ERIC Educational Resources Information Center

Cutz, German; Theuri, Emma

2011-01-01

University of Illinois Extension, in partnership with Our Lady of Mount Carmel Church in Joliet, Illinois, offered a technology summer program for Hispanic youth from June 22 to July 22, 2009. The program, "Looking Back, Moving Forward," utilized self-directed learning activities during the entire program. Eight out of fourteen Hispanic…

Prior Learning Assessment: How Institutions Use Portfolio Assessments

ERIC Educational Resources Information Center

Klein-Collins, Becky; Hain, Patrick

2009-01-01

The term Prior Learning Assessment (PLA) refers not to a single kind of assessment but rather an entire family of assessment methods that can be used by institutions. Some of these methods are exam-based. In addition, there are other methods of PLA. One of the more innovative methods of offering PLA, however, is through the development of student…

YouTube, Fanvids, Forums, Vlogs and Blogs: Informal Music Learning in a Convergent on- and Offline Music Community

ERIC Educational Resources Information Center

Waldron, Janice

2013-01-01

In this paper I examine the music learning and teaching in the Banjo Hangout online music community (www.banjohangout.org/) using cyber ethnographic methods of interview and participant observation conducted entirely through computer-mediated communication, which includes Skype and written narrative texts--forum posts, email, chat room…

Encapsulated Presentation: A New Paradigm of Blended Learning

ERIC Educational Resources Information Center

Rose, Richard; Ray, Jan

2011-01-01

This article is a presentation of a new mode of blended learning whose only goal is to enrich the quality of instruction in the face-to-face classroom through the simultaneous delivery of online and face-to-face components. Encapsulated presentation is the delivery of the entire presentation phase of a lesson in the classroom by electronic methods…

Doing It for Themselves: Students Creating a High Quality Peer-Learning Environment

ERIC Educational Resources Information Center

Galloway, Kyle W.; Burns, Simon

2015-01-01

To support our students during their study and exam preparation we have developed a novel synoptic revision exercise using the online PeerWise system. Academic staff involvement was passive after introducing the assignment to the cohort via scaffolding activities, thus generating an entirely student-led peer-learning environment for the task.…

Implementation of a Project-Based Engineering School: Increasing Student Motivation and Relevant Learning

ERIC Educational Resources Information Center

Terrón-López, María-José; García-García, María-José; Velasco-Quintana, Paloma-Julia; Ocampo, Jared; Vigil Montaño, María-Reyes; Gaya-López, María-Cruz

2017-01-01

The School of Engineering at Universidad Europea de Madrid (UEM) implemented, starting in the 2012-2013 period, a unified academic model based on project-based learning as the methodology used throughout the entire School. This model expects that every year, in each grade, all the students should participate in a capstone project integrating the…

Marrying Two Existing Software Packages into an Efficient Online Tutoring Tool

ERIC Educational Resources Information Center

Byrne, Timothy

2007-01-01

Many teachers today use Learning Management Systems (LMS), several of which are open-source. Specific examples are Claroline and Moodle. However, they are not specifically designed for language learning, and hence not entirely suitable. In this article, I will compare two uses of the Claroline LMS available at Louvain-la-Neuve within the framework…

Lectura y Vida: Revista Latinoamericana de Lectura (Reading and Life: Latin American Reading Magazine). 1996.

ERIC Educational Resources Information Center

Lectura y Vida: Revista Latinoamericana de Lectura, 1996

1996-01-01

The four 1996 issues of the journal, written entirely in Spanish and intended for reading teachers, include articles on these topics: design of the school and classroom environment for reading; a university experiment in cooperative learning and learning strategies; use of portfolios for evaluation of student work; evaluation of reading…

Supreme Court's Patent Ruling Could Spell Trouble For Blackboard and Others

ERIC Educational Resources Information Center

Carnevale, Dan

2007-01-01

Many college officials have criticized Blackboard Inc. for its patent on its course-management system, arguing that the patent is overly broad and seems to cover the entire concept of online learning. Critics of Blackboard and other companies that have patents on learning technology are welcoming a recent Supreme Court ruling that they hope may…

Mid-Level District Leadership Influences in Promoting Formative Assessment Practices in Secondary Schools: A Qualitative Multiple-Case Study

ERIC Educational Resources Information Center

Thompson, Jeff Roland

2017-01-01

A growing body of research evidence has suggested Assessment for Learning (AfL) practices represent a powerful intervention strategy that enhances learning for all students. Yet, grades 7-12 teachers in particular, generally continue to rely almost entirely on traditional summative assessment practices. However, some school principals in the…

Young Children Capitalising on Their Entire Language Repertoire for Language Learning at School

ERIC Educational Resources Information Center

Kirsch, Claudine

2018-01-01

While translanguaging has been well researched in bilingual settings with older pupils and has been found to contribute to cognitive and personal development, there is little research on translanguaging of young multilinguals. In trilingual Luxembourg, at school, children learn Luxembourgish aged 4, German aged 6 and French aged 7, with the…

A Review of the Linkage between Student Participation in the International Baccalaureate Continuum and Student Learning Attributes

ERIC Educational Resources Information Center

Bryant, Darren A.; Walker, Allan; Lee, Moosung

2016-01-01

Given the rapid growth in the number of students completing the International Baccalaureate (IB) Diploma Programme and the potential for students to be educated entirely through IB programmes, it is important to understand associations between programme participation and cognitive and non-cognitive learning attributes. Through a mixed methods…

Teaching clinically relevant dental anatomy in the dental curriculum: description and assessment of an innovative module.

PubMed

Obrez, Ales; Briggs, Charlotte; Buckman, James; Goldstein, Loren; Lamb, Courtney; Knight, William G

2011-06-01

The primary objective of the preclinical dental anatomy course in the predoctoral dental curriculum is to introduce students to cognitive and psychomotor skills related to the morphology and spatial and functional relationships of human dentition. Traditionally, didactic content for the subject is found in textbooks and course manuals and summarized by the faculty in lectures to the entire class. Psychomotor skills associated with recognition and reproduction of tooth morphology are traditionally learned by examining preserved tooth specimens and their cross-sections, combined with producing two-dimensional line drawings and carving teeth from wax blocks. These activities have little direct clinical application. In most cases, students are passive in the learning process, and assessment of student performance is unilateral and subjective. A recently revised dental anatomy module at the University of Illinois at Chicago College of Dentistry integrates independent class preparation with active small-group discussion and patient scenario-based wax-up exercises to replace missing tooth structure on manikin teeth. The goal of the revision is to shift emphasis away from decontextualized technical learning toward more active and clinically applicable learning that improves conceptual understanding while contributing to early acquisition of psychomotor skills. This article describes the rationale, components, and advantages of the revised module and presents a pre-post comparison of student learning outcomes for three class cohorts (N=203).

Transitive inference in humans (Homo sapiens) and rhesus macaques (Macaca mulatta) after massed training of the last two list items.

PubMed

Jensen, Greg; Alkan, Yelda; Muñoz, Fabian; Ferrera, Vincent P; Terrace, Herbert S

2017-08-01

Transitive inference (TI) is a classic learning paradigm for which the relative contributions of experienced rewards and representation-based inference have been debated vigorously, particularly regarding the notion that animals are capable of logic and reasoning. Rhesus macaque subjects and human participants performed a TI task in which, prior to learning a 7-item list (ABCDEFG), a block of trials presented exclusively the pair FG. Contrary to the expectation of associative models, the high prior rate of reward for F did not disrupt subsequent learning of the entire list. Monkeys (who each completed many sessions with novel stimuli) learned to anticipate that novel stimuli should be preferred over F. We interpret this as evidence of a task representation of TI that generalizes beyond learning about specific stimuli. Humans (who were task-naïve) showed a transitory bias to F when it was paired with novel stimuli, but very rapidly unlearned that bias. Performance with respect to the remaining stimuli was consistent with past reports of TI in both species. These results are difficult to reconcile with any account that assigns the strength of association between individual stimuli and rewards. Instead, they support sophisticated cognitive processes in both species, albeit with some species differences. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Learning Grasp Strategies Composed of Contact Relative Motions

NASA Technical Reports Server (NTRS)

Platt, Robert, Jr.

2007-01-01

Of central importance to grasp synthesis algorithms are the assumptions made about the object to be grasped and the sensory information that is available. Many approaches avoid the issue of sensing entirely by assuming that complete information is available. In contrast, this paper proposes an approach to grasp synthesis expressed in terms of units of control that simultaneously change the contact configuration and sense information about the object and the relative manipulator-object pose. These units of control, known as contact relative motions (CRMs), allow the grasp synthesis problem to be recast as an optimal control problem where the goal is to find a strategy for executing CRMs that leads to a grasp in the shortest number of steps. An experiment is described that uses Robonaut, the NASA-JSC space humanoid, to show that CRMs are a viable means of synthesizing grasps. However, because of the limited amount of information that a single CRM can sense, the optimal control problem may be partially observable. This paper proposes expressing the problem as a k-order Markov Decision Process (MDP) and solving it using Reinforcement Learning. This approach is tested in a simulation of a two-contact manipulator that learns to grasp an object. Grasp strategies learned in simulation are tested on the physical Robonaut platform and found to lead to grasp configurations consistently.

Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.

PubMed

Ebert, Lars C; Heimer, Jakob; Schweitzer, Wolf; Sieberth, Till; Leipner, Anja; Thali, Michael; Ampanozi, Garyfalia

2017-12-01

Post mortem computed tomography (PMCT) can be used as a triage tool to better identify cases with a possibly non-natural cause of death, especially when high caseloads make it impossible to perform autopsies on all cases. Substantial data can be generated by modern medical scanners, especially in a forensic setting where the entire body is documented at high resolution. A solution for the resulting issues could be the use of deep learning techniques for automatic analysis of radiological images. In this article, we wanted to test the feasibility of such methods for forensic imaging by hypothesizing that deep learning methods can detect and segment a hemopericardium in PMCT. For deep learning image analysis software, we used the ViDi Suite 2.0. We retrospectively selected 28 cases with, and 24 cases without, hemopericardium. Based on these data, we trained two separate deep learning networks. The first one classified images into hemopericardium/not hemopericardium, and the second one segmented the blood content. We randomly selected 50% of the data for training and 50% for validation. This process was repeated 20 times. The best performing classification network classified all cases of hemopericardium from the validation images correctly with only a few false positives. The best performing segmentation network would tend to underestimate the amount of blood in the pericardium, which is the case for most networks. This is the first study that shows that deep learning has potential for automated image analysis of radiological images in forensic medicine.

Mathematics, thermodynamics, and modeling to address ten common misconceptions about protein structure, folding, and stability.

PubMed

Robic, Srebrenka

2010-01-01

To fully understand the roles proteins play in cellular processes, students need to grasp complex ideas about protein structure, folding, and stability. Our current understanding of these topics is based on mathematical models and experimental data. However, protein structure, folding, and stability are often introduced as descriptive, qualitative phenomena in undergraduate classes. In the process of learning about these topics, students often form incorrect ideas. For example, by learning about protein folding in the context of protein synthesis, students may come to an incorrect conclusion that once synthesized on the ribosome, a protein spends its entire cellular life time in its fully folded native confirmation. This is clearly not true; proteins are dynamic structures that undergo both local fluctuations and global unfolding events. To prevent and address such misconceptions, basic concepts of protein science can be introduced in the context of simple mathematical models and hands-on explorations of publicly available data sets. Ten common misconceptions about proteins are presented, along with suggestions for using equations, models, sequence, structure, and thermodynamic data to help students gain a deeper understanding of basic concepts relating to protein structure, folding, and stability.

Self-organizing adaptive map: autonomous learning of curves and surfaces from point samples.

PubMed

Piastra, Marco

2013-05-01

Competitive Hebbian Learning (CHL) (Martinetz, 1993) is a simple and elegant method for estimating the topology of a manifold from point samples. The method has been adopted in a number of self-organizing networks described in the literature and has given rise to related studies in the fields of geometry and computational topology. Recent results from these fields have shown that a faithful reconstruction can be obtained using the CHL method only for curves and surfaces. Within these limitations, these findings constitute a basis for defining a CHL-based, growing self-organizing network that produces a faithful reconstruction of an input manifold. The SOAM (Self-Organizing Adaptive Map) algorithm adapts its local structure autonomously in such a way that it can match the features of the manifold being learned. The adaptation process is driven by the defects arising when the network structure is inadequate, which cause a growth in the density of units. Regions of the network undergo a phase transition and change their behavior whenever a simple, local condition of topological regularity is met. The phase transition is eventually completed across the entire structure and the adaptation process terminates. In specific conditions, the structure thus obtained is homeomorphic to the input manifold. During the adaptation process, the network also has the capability to focus on the acquisition of input point samples in critical regions, with a substantial increase in efficiency. The behavior of the network has been assessed experimentally with typical data sets for surface reconstruction, including suboptimal conditions, e.g. with undersampling and noise. Copyright © 2012 Elsevier Ltd. All rights reserved.

Predictive coding accelerates word recognition and learning in the early stages of language development.

PubMed

Ylinen, Sari; Bosseler, Alexis; Junttila, Katja; Huotilainen, Minna

2017-11-01

The ability to predict future events in the environment and learn from them is a fundamental component of adaptive behavior across species. Here we propose that inferring predictions facilitates speech processing and word learning in the early stages of language development. Twelve- and 24-month olds' electrophysiological brain responses to heard syllables are faster and more robust when the preceding word context predicts the ending of a familiar word. For unfamiliar, novel word forms, however, word-expectancy violation generates a prediction error response, the strength of which significantly correlates with children's vocabulary scores at 12 months. These results suggest that predictive coding may accelerate word recognition and support early learning of novel words, including not only the learning of heard word forms but also their mapping to meanings. Prediction error may mediate learning via attention, since infants' attention allocation to the entire learning situation in natural environments could account for the link between prediction error and the understanding of word meanings. On the whole, the present results on predictive coding support the view that principles of brain function reported across domains in humans and non-human animals apply to language and its development in the infant brain. A video abstract of this article can be viewed at: http://hy.fi/unitube/video/e1cbb495-41d8-462e-8660-0864a1abd02c. [Correction added on 27 January 2017, after first online publication: The video abstract link was added.]. © 2016 John Wiley & Sons Ltd.

Using Competency-Based Digital Open Learning Activities to Facilitate and Promote Health Professions Education (OLAmeD): A Proposal

PubMed Central

Barman, Linda

2016-01-01

Background Traditional learning in medical education has been transformed with the advent of information technology. We have recently seen global initiatives to produce online activities in an effort to scale up learning opportunities through learning management systems and massive open online courses for both undergraduate and continued professional education. Despite the positive impact of such efforts, factors such as cost, time, resources, and the specificity of educational contexts restrict the design and exchange of online medical educational activities. Objective The goal is to address the stated issues within the health professions education context while promoting learning by proposing the Online Learning Activities for Medical Education (OLAmeD) concept which builds on unified competency frameworks and generic technical standards for education. Methods We outline how frameworks used to describe a set of competencies for a specific topic in medical education across medical schools in the United States and Europe can be compared to identify commonalities that could result in a unified set of competencies representing both contexts adequately. Further, we examine how technical standards could be used to allow standardization, seamless sharing, and reusability of educational content. Results The entire process of developing and sharing OLAmeD is structured and presented in a set of steps using as example Urology as a part of clinical surgery specialization. Conclusions Beyond supporting the development, sharing, and repurposing of educational content, we expect OLAmeD to work as a tool that promotes learning and sets a base for a community of medical educational content developers across different educational contexts. PMID:27390226

Using Competency-Based Digital Open Learning Activities to Facilitate and Promote Health Professions Education (OLAmeD): A Proposal.

PubMed

Vaitsis, Christos; Stathakarou, Natalia; Barman, Linda; Zary, Nabil; McGrath, Cormac

2016-07-07

Traditional learning in medical education has been transformed with the advent of information technology. We have recently seen global initiatives to produce online activities in an effort to scale up learning opportunities through learning management systems and massive open online courses for both undergraduate and continued professional education. Despite the positive impact of such efforts, factors such as cost, time, resources, and the specificity of educational contexts restrict the design and exchange of online medical educational activities. The goal is to address the stated issues within the health professions education context while promoting learning by proposing the Online Learning Activities for Medical Education (OLAmeD) concept which builds on unified competency frameworks and generic technical standards for education. We outline how frameworks used to describe a set of competencies for a specific topic in medical education across medical schools in the United States and Europe can be compared to identify commonalities that could result in a unified set of competencies representing both contexts adequately. Further, we examine how technical standards could be used to allow standardization, seamless sharing, and reusability of educational content. The entire process of developing and sharing OLAmeD is structured and presented in a set of steps using as example Urology as a part of clinical surgery specialization. Beyond supporting the development, sharing, and repurposing of educational content, we expect OLAmeD to work as a tool that promotes learning and sets a base for a community of medical educational content developers across different educational contexts.

The neural representation of the gender of faces in the primate visual system: A computer modeling study.

PubMed

Minot, Thomas; Dury, Hannah L; Eguchi, Akihiro; Humphreys, Glyn W; Stringer, Simon M

2017-03-01

We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synaptic connections between successive layers. During training, the network was presented with many realistic images of male and female faces, during which the synaptic connections are modified using biologically plausible local associative learning rules. After training, we found that different subsets of output neurons have learned to respond exclusively to either male or female faces. With the inclusion of short range excitation within each neuronal layer to implement a self-organizing map architecture, neurons representing either male or female faces were clustered together in the output layer. This learning process is entirely unsupervised, as the gender of the face images is not explicitly labeled and provided to the network as a supervisory training signal. These simulations are extended to training the network on rotating faces. It is found that by using a trace learning rule incorporating a temporal memory trace of recent neuronal activity, neurons responding selectively to either male or female faces were also able to learn to respond invariantly over different views of the faces. This kind of trace learning has been previously shown to operate within the primate visual system by neurophysiological and psychophysical studies. The computer simulations described here predict that similar neurons encoding the gender of faces will be present within the primate visual system. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Comparing Online Learning Perceptions of Adult Students: An Application of the Community of Inquiry Framework

ERIC Educational Resources Information Center

Place, Margaret A.

2017-01-01

The number of courses and entire programs in higher education offered online has grown steadily over the past two decades, and scholars have conducted a number of studies aimed at addressing quality of online education. Gathering feedback from both instructors and students has been one of the main approaches to assessing online learning. The…

Introductory Course Based on a Single Problem: Learning Nucleic Acid Biochemistry from AIDS Research

ERIC Educational Resources Information Center

Grover, Neena

2004-01-01

In departure from the standard approach of using several problems to cover specific topics in a class, I use a single problem to cover the contents of the entire semester-equivalent biochemistry classes. I have developed a problem-based service-learning (PBSL) problem on HIV/AIDS to cover nucleic acid concepts that are typically taught in the…

Tentative guides for the selection of plus trees and superior stands in Douglas-fir.

Treesearch

Leo A. Isaac

1955-01-01

Interest among foresters in forest tree improvement has increased rapidly in recent years. Geneticists have learned that some individual trees greatly excel their neighbors in desirable characteristics, and that some entire stands are superior to other stands of the same species in a general locality. They have learned that many of the desirable tree characteristics...

A Parallel Controlled Study of the Effectiveness of a Partially Flipped Organic Chemistry Course on Student Performance, Perceptions, and Course Completion

ERIC Educational Resources Information Center

Shattuck, James C.

2016-01-01

Organic chemistry is very challenging to many students pursuing science careers. Flipping the classroom presents an opportunity to significantly improve student success by increasing active learning, which research shows is highly beneficial to student learning. However, flipping an entire course may seem too daunting or an instructor may simply…

Data Collection: A Cybernetic Aspect of a Learning Assistance Center.

ERIC Educational Resources Information Center

Devirian, Margaret Coda

Data collection and analysis as a cybernetic aspect of a Learning Assistance Center (LAC) is discussed. Using the LAC at California State University Long Beach (CSULB) as a model, the LAC is defined as a support, delivery, and referral service for the entire campus community. A LAC is held accountable to itself and its users through a cybernetics…

Predicting Educational Success and Attrition in Problem-Based Learning: Do First Impressions Count?

ERIC Educational Resources Information Center

Wijnia, Lisette; Loyens, Sofie M. M.; Derous, Eva; Koendjie, Nitaasha S.; Schmidt, Henk G.

2014-01-01

This study examines whether tutors (N?=?15) in a problem-based learning curriculum were able to predict students' success in their first year and their entire bachelor programme. Tutors were asked to rate each student in their tutorial group in terms of the chance that this student would successfully finish their first year and the entire…

Building Blocks: Making Children Successful in the Early Years of School

ERIC Educational Resources Information Center

Maeroff, Gene I.

2006-01-01

A student's entire journey along the educational spectrum is affected by what occurs--and, crucially, by what does not occur--before the age of eight or nine. Yet early learning has never received the attention it deserves and needs. In his latest book, education expert Gene Maeroff takes a hard look at early learning and the primary grades of…

Improving Junior High School Students' Mathematical Analogical Ability Using Discovery Learning Method

ERIC Educational Resources Information Center

Maarif, Samsul

2016-01-01

The aim of this study was to identify the influence of discovery learning method towards the mathematical analogical ability of junior high school's students. This is a research using factorial design 2x2 with ANOVA-Two ways. The population of this research included the entire students of SMPN 13 Jakarta (State Junior High School 13 of Jakarta)…

Creating a future worth experiencing: nursing strategic planning in an integrated healthcare delivery system.

PubMed

Drenkard, K N

2001-01-01

The application of a strategic planning methodology for the discipline of nursing is described in use by a large, nonprofit integrated healthcare system. The methodology uses a transformational leadership assessment tool, quality planning methods, and large group intervention to engage nurses in the implementation of strategies. Based on systems theory, the methodology outlined by the author has application at any level in an organization, from an entire delivery network, to a patient care unit. The author discusses getting started on a strategic planning journey, tools that are useful in the process, integrating already existing business plans into the strategies for nursing, preliminary measures to monitor progress, and lessons learned along the journey.

Accurate lithography simulation model based on convolutional neural networks

NASA Astrophysics Data System (ADS)

Watanabe, Yuki; Kimura, Taiki; Matsunawa, Tetsuaki; Nojima, Shigeki

2017-07-01

Lithography simulation is an essential technique for today's semiconductor manufacturing process. In order to calculate an entire chip in realistic time, compact resist model is commonly used. The model is established for faster calculation. To have accurate compact resist model, it is necessary to fix a complicated non-linear model function. However, it is difficult to decide an appropriate function manually because there are many options. This paper proposes a new compact resist model using CNN (Convolutional Neural Networks) which is one of deep learning techniques. CNN model makes it possible to determine an appropriate model function and achieve accurate simulation. Experimental results show CNN model can reduce CD prediction errors by 70% compared with the conventional model.

Improving semantic scene understanding using prior information

NASA Astrophysics Data System (ADS)

Laddha, Ankit; Hebert, Martial

2016-05-01

Perception for ground robot mobility requires automatic generation of descriptions of the robot's surroundings from sensor input (cameras, LADARs, etc.). Effective techniques for scene understanding have been developed, but they are generally purely bottom-up in that they rely entirely on classifying features from the input data based on learned models. In fact, perception systems for ground robots have a lot of information at their disposal from knowledge about the domain and the task. For example, a robot in urban environments might have access to approximate maps that can guide the scene interpretation process. In this paper, we explore practical ways to combine such prior information with state of the art scene understanding approaches.

Practice-based learning and improvement for institutions: a case report.

PubMed

Kirk, Susan E; Howell, R Edward

2010-12-01

In 2006, the University of Virginia became one of the first academic medical institutions to be placed on probation, after the Accreditation Council for Graduate Medical Education (ACGME) Institutional Review Committee implemented a new classification system for institutional reviews. After University of Virginia reviewed its practices and implemented needed changes, the institution was able to have probation removed and full accreditation restored. Whereas graduate medical education committees and designated institutional officials are required to conduct internal reviews of each ACGME-accredited program midway through its accreditation cycle, no similar requirement exists for institutions. As we designed corrective measures at the University of Virginia, we realized that regularly scheduled audits of the entire institution would have prevented the accumulation of deficiencies. We suggest that institutional internal reviews be implemented to ensure that the ACGME institutional requirements for graduate medical education are met. This process represents practice-based learning and improvement at the institutional level and may prevent other institutions from receiving unfavorable accreditation decisions.

The Effectiveness of Full Day School System for Students’ Character Building

NASA Astrophysics Data System (ADS)

Benawa, A.; Peter, R.; Makmun, S.

2018-01-01

The study aims to put forward that full day school which was delivered in Marsudirini Elementary School in Bogor is effective for students’ character building. The study focused on the implementation of full day school system. The qualitative-based research method applied in the study is characteristic evaluation involving non-participant observation, interview, and documentation analysis. The result of this study concludes that the full day school system is significantly effective in education system for elementary students’ character building. The full day school system embraced the entire relevant processes based on the character building standard. The synergy of comprehensive components in instructional process at full day school has influenced the building of the students’ character effectively and efficiently. The relationship emerged between instructional development process in full day school system and the character building of the students. By developing instructional process through systemic and systematic process in full day school system, the support of stakeholders (leaders, human resources, students, parents’ role) and other components (learning resources, facilities, budget) provides a potent and expeditious contribution for character building among the students eventually.

Expert models and modeling processes associated with a computer-modeling tool

NASA Astrophysics Data System (ADS)

Zhang, Baohui; Liu, Xiufeng; Krajcik, Joseph S.

2006-07-01

Holding the premise that the development of expertise is a continuous process, this study concerns expert models and modeling processes associated with a modeling tool called Model-It. Five advanced Ph.D. students in environmental engineering and public health used Model-It to create and test models of water quality. Using think aloud technique and video recording, we captured their computer screen modeling activities and thinking processes. We also interviewed them the day following their modeling sessions to further probe the rationale of their modeling practices. We analyzed both the audio-video transcripts and the experts' models. We found the experts' modeling processes followed the linear sequence built in the modeling program with few instances of moving back and forth. They specified their goals up front and spent a long time thinking through an entire model before acting. They specified relationships with accurate and convincing evidence. Factors (i.e., variables) in expert models were clustered, and represented by specialized technical terms. Based on the above findings, we made suggestions for improving model-based science teaching and learning using Model-It.

Cultural entrainment of motor skill development: Learning to write hiragana in Japanese primary school

PubMed Central

2017-01-01

Abstract The aim of the present study was to examine how the social norms shared in a classroom environment influence the development of movement dynamics of handwriting of children who participate in the environment. To look into this issue, the following aspects of the entire period of classroom learning of hiragana letters in Japanese 1st graders who had just entered primary school were studied: First, the structure of classroom events and the specific types of interaction and learning within such environment were described. Second, in the experiment involving 6‐year‐old children who participated in the class, writing movements of children and their changes over the period of hiragana education were analyzed for each stroke composing letters. It was found that writing movement of children became differentiated in a manner specific to the different types of stroke endings, to which children were systematically encouraged to attend in the classroom. The results provide a detailed description of the process of how dynamics of fine motor movement of children is modulated by the social norms of a populated, classroom environment in a non‐Latin alphabet writing system. PMID:28608521

Learning Kinetic Monte Carlo Models of Condensed Phase High Temperature Chemistry from Molecular Dynamics

NASA Astrophysics Data System (ADS)

Yang, Qian; Sing-Long, Carlos; Chen, Enze; Reed, Evan

2017-06-01

Complex chemical processes, such as the decomposition of energetic materials and the chemistry of planetary interiors, are typically studied using large-scale molecular dynamics simulations that run for weeks on high performance parallel machines. These computations may involve thousands of atoms forming hundreds of molecular species and undergoing thousands of reactions. It is natural to wonder whether this wealth of data can be utilized to build more efficient, interpretable, and predictive models. In this talk, we will use techniques from statistical learning to develop a framework for constructing Kinetic Monte Carlo (KMC) models from molecular dynamics data. We will show that our KMC models can not only extrapolate the behavior of the chemical system by as much as an order of magnitude in time, but can also be used to study the dynamics of entirely different chemical trajectories with a high degree of fidelity. Then, we will discuss three different methods for reducing our learned KMC models, including a new and efficient data-driven algorithm using L1-regularization. We demonstrate our framework throughout on a system of high-temperature high-pressure liquid methane, thought to be a major component of gas giant planetary interiors.

Data Mining and Machine Learning in Astronomy

NASA Astrophysics Data System (ADS)

Ball, Nicholas M.; Brunner, Robert J.

We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, promising great scientific advance. However, if misused, it can be little more than the black box application of complex computing algorithms that may give little physical insight, and provide questionable results. Here, we give an overview of the entire data mining process, from data collection through to the interpretation of results. We cover common machine learning algorithms, such as artificial neural networks and support vector machines, applications from a broad range of astronomy, emphasizing those in which data mining techniques directly contributed to improving science, and important current and future directions, including probability density functions, parallel algorithms, Peta-Scale computing, and the time domain. We conclude that, so long as one carefully selects an appropriate algorithm and is guided by the astronomical problem at hand, data mining can be very much the powerful tool, and not the questionable black box.

Cultural entrainment of motor skill development: Learning to write hiragana in Japanese primary school.

PubMed

Nonaka, Tetsushi

2017-09-01

The aim of the present study was to examine how the social norms shared in a classroom environment influence the development of movement dynamics of handwriting of children who participate in the environment. To look into this issue, the following aspects of the entire period of classroom learning of hiragana letters in Japanese 1st graders who had just entered primary school were studied: First, the structure of classroom events and the specific types of interaction and learning within such environment were described. Second, in the experiment involving 6-year-old children who participated in the class, writing movements of children and their changes over the period of hiragana education were analyzed for each stroke composing letters. It was found that writing movement of children became differentiated in a manner specific to the different types of stroke endings, to which children were systematically encouraged to attend in the classroom. The results provide a detailed description of the process of how dynamics of fine motor movement of children is modulated by the social norms of a populated, classroom environment in a non-Latin alphabet writing system. © 2017 The Authors. Developmental Psychobiology Published by Wiley Periodicals, Inc.

Segmentation of the spinous process and its acoustic shadow in vertebral ultrasound images.

PubMed

Berton, Florian; Cheriet, Farida; Miron, Marie-Claude; Laporte, Catherine

2016-05-01

Spinal ultrasound imaging is emerging as a low-cost, radiation-free alternative to conventional X-ray imaging for the clinical follow-up of patients with scoliosis. Currently, deformity measurement relies almost entirely on manual identification of key vertebral landmarks. However, the interpretation of vertebral ultrasound images is challenging, primarily because acoustic waves are entirely reflected by bone. To alleviate this problem, we propose an algorithm to segment these images into three regions: the spinous process, its acoustic shadow and other tissues. This method consists, first, in the extraction of several image features and the selection of the most relevant ones for the discrimination of the three regions. Then, using this set of features and linear discriminant analysis, each pixel of the image is classified as belonging to one of the three regions. Finally, the image is segmented by regularizing the pixel-wise classification results to account for some geometrical properties of vertebrae. The feature set was first validated by analyzing the classification results across a learning database. The database contained 107 vertebral ultrasound images acquired with convex and linear probes. Classification rates of 84%, 92% and 91% were achieved for the spinous process, the acoustic shadow and other tissues, respectively. Dice similarity coefficients of 0.72 and 0.88 were obtained respectively for the spinous process and acoustic shadow, confirming that the proposed method accurately segments the spinous process and its acoustic shadow in vertebral ultrasound images. Furthermore, the centroid of the automatically segmented spinous process was located at an average distance of 0.38 mm from that of the manually labeled spinous process, which is on the order of image resolution. This suggests that the proposed method is a promising tool for the measurement of the Spinous Process Angle and, more generally, for assisting ultrasound-based assessment of scoliosis progression. Copyright © 2016 Elsevier Ltd. All rights reserved.

Interactive Learning: The Casewriting Method as an Entire Semester Course for Higher Education.

ERIC Educational Resources Information Center

Bowen, Brent D.

This guide explains the reasons for employing the case method as a tool in the academic discipline of aviation. It promotes the use of case writing as a unique opportunity to derive even further benefits from case analysis. The benefits to students of using case writing as a learning strategy include a focus on the strategy of a real situation;…

Coalition for Healthier Schools Position Statement. Improving Education, Child Health, the Environment, and Communities

ERIC Educational Resources Information Center

Healthy Schools Network, Inc., 2010

2010-01-01

Each day over 53 million school children and 6 million adults--20 percent of the entire U.S. population--enter the nation's 120,000 school buildings to teach and learn. Unfortunately, in too many cases, they enter "unhealthy" school buildings," that undermine learning and health. In a recent five-state survey, more than 1,100 public schools were…

Resurgence of Integrated Behavioral Units

PubMed Central

Bachá-Méndez, Gustavo; Reid, Alliston K; Mendoza-Soylovna, Adela

2007-01-01

Two experiments with rats examined the dynamics of well-learned response sequences when reinforcement contingencies were changed. Both experiments contained four phases, each of which reinforced a 2-response sequence of lever presses until responding was stable. The contingencies then were shifted to a new reinforced sequence until responding was again stable. Extinction-induced resurgence of previously reinforced, and then extinguished, heterogeneous response sequences was observed in all subjects in both experiments. These sequences were demonstrated to be integrated behavioral units, controlled by processes acting at the level of the entire sequence. Response-level processes were also simultaneously operative. Errors in sequence production were strongly influenced by the terminal, not the initial, response in the currently reinforced sequence, but not by the previously reinforced sequence. These studies demonstrate that sequence-level and response-level processes can operate simultaneously in integrated behavioral units. Resurgence and the development of integrated behavioral units may be dissociated; thus the observation of one does not necessarily imply the other. PMID:17345948

Creating the future: IAIMS planning premises at the University of Washington.

PubMed Central

Fuller, S S

1992-01-01

In September 1990, the University of Washington (UW) received a Phase I IAIMS Planning Grant from the National Library of Medicine and embarked upon a planning process involving the entire health sciences center. As a result of our relatively late entry into IAIMS planning, we have been able to learn from the experiences of other health sciences centers and to leverage our existing institutional efforts. Consequently, our progress has been rapid, and in a little over a year, we drafted a long-range plan and embarked on several related research and development projects. The hallmarks of our planning process include careful study of both the UW institutional environment and the experiences of other IAIMS institutions throughout the United States; broad, interdisciplinary participation of faculty, librarians, and administrators; an intensive educational process; a focus on people rather than technology; and, above all, leveraging of existing institutional and research projects that support our vision for the future. PMID:1326372

Exploring the Solid Rocket Boosters and Properties of Matter

NASA Technical Reports Server (NTRS)

Moffett, Amy

2007-01-01

I worked for the United Space Alliance, LLC (USA) with the Solid Rocket Booster (SRB) Materials and Process engineers (M&P). I was assigned a project in which I needed to research and collect chemical and physical properties information, material safety data sheets (MSDS), and other product information from the vendor's websites and existing "inhouse" files for a select group of materials used in building and refurbishing the SRBs. This information was then compiled in a report that summarized the information collected. My work site was at the Kennedy Space Center (KSC). This allowed for many opportunities to visit and tour sites operated by NASA, by USA, and by the Air Force. This included the vehicle assembly building (VAB), orbital processing facilities (OPF), the crawler with the mobile launch pad (MLP), and the SRB assembly and refurbishment facility (ARF), to name a few. In addition, the launch, of STS- 117 took place within the first week of employment allowing a day by day following of that mission including post flight operations for the SRBs. Two Delta II rockets were also launched during these 7 weeks. The sights were incredible and the operations witnessed were amazing. I learned so many things I never knew about the entire program and the shuttle itself. The entire experience, especially my work with the SRB materials, inspired my plan for implementation into the classroom.

Crowd-sourced data collection to support automatic classification of building footprint data

NASA Astrophysics Data System (ADS)

Hecht, Robert; Kalla, Matthias; Krüger, Tobias

2018-05-01

Human settlements are mainly formed by buildings with their different characteristics and usage. Despite the importance of buildings for the economy and society, complete regional or even national figures of the entire building stock and its spatial distribution are still hardly available. Available digital topographic data sets created by National Mapping Agencies or mapped voluntarily through a crowd via Volunteered Geographic Information (VGI) platforms (e.g. OpenStreetMap) contain building footprint information but often lack additional information on building type, usage, age or number of floors. For this reason, predictive modeling is becoming increasingly important in this context. The capabilities of machine learning allow for the prediction of building types and other building characteristics and thus, the efficient classification and description of the entire building stock of cities and regions. However, such data-driven approaches always require a sufficient amount of ground truth (reference) information for training and validation. The collection of reference data is usually cost-intensive and time-consuming. Experiences from other disciplines have shown that crowdsourcing offers the possibility to support the process of obtaining ground truth data. Therefore, this paper presents the results of an experimental study aiming at assessing the accuracy of non-expert annotations on street view images collected from an internet crowd. The findings provide the basis for a future integration of a crowdsourcing component into the process of land use mapping, particularly the automatic building classification.

Quantitative Machine Learning Analysis of Brain MRI Morphology throughout Aging.

PubMed

Shamir, Lior; Long, Joe

2016-01-01

While cognition is clearly affected by aging, it is unclear whether the process of brain aging is driven solely by accumulation of environmental damage, or involves biological pathways. We applied quantitative image analysis to profile the alteration of brain tissues during aging. A dataset of 463 brain MRI images taken from a cohort of 416 subjects was analyzed using a large set of low-level numerical image content descriptors computed from the entire brain MRI images. The correlation between the numerical image content descriptors and the age was computed, and the alterations of the brain tissues during aging were quantified and profiled using machine learning. The comprehensive set of global image content descriptors provides high Pearson correlation of ~0.9822 with the chronological age, indicating that the machine learning analysis of global features is sensitive to the age of the subjects. Profiling of the predicted age shows several periods of mild changes, separated by shorter periods of more rapid alterations. The periods with the most rapid changes were around the age of 55, and around the age of 65. The results show that the process of brain aging of is not linear, and exhibit short periods of rapid aging separated by periods of milder change. These results are in agreement with patterns observed in cognitive decline, mental health status, and general human aging, suggesting that brain aging might not be driven solely by accumulation of environmental damage. Code and data used in the experiments are publicly available.

KSC-00pp1582

NASA Image and Video Library

2000-10-18

During Super Safety and Health Day at KSC, keynote speaker Dr. Beck Weathers is given a memento of his visit by Center Director Roy Bridges. Weathers spoke about his ordeal of surviving the 1996 Mt. Everest disaster and the lessons learned from the experience. Safety Day is a full day of NASA-sponsored, KSC and 45th Space Wing events involving a number of health and safety related activities: Displays, vendors, technical paper sessions, panel discussions, a keynote speaker, etc. The entire Center and Wing stand down to participate in the planned events. Safety Day is held annually to proactively increase awareness in safety and health among the government and contractor workforce population. The first guiding principle at KSC is “Safety and Health First.” KSC’s number one goal is to “Assure sound, safe and efficient practices and processes are in place for privatized/commercialized launch site processing.

Small molecule compound logistics outsourcing--going beyond the "thought experiment".

PubMed

Ramsay, Devon L; Kwasnoski, Joseph D; Caldwell, Gary W

2012-01-01

Increasing pressure on the pharmaceutical industry to reduce cost and focus internal resources on "high value" activities is driving a trend to outsource traditionally "in-house" drug discovery activities. Compound collections are typically viewed as drug discovery's "crown jewels"; however, in late 2007, Johnson & Johnson Pharmaceutical Research & Development (J PRD) took a bold step to move their entire North American compound inventory and processing capability to an external third party vendor. The authors discuss the combination model implemented, that of local compound logistics site support with an outsourced centralized processing center. Some of the lessons learned over the past five years were predictable while others were unexpected. The substantial cost savings, improved local service response and flexible platform to adjust to changing business needs resulted. Continued sustainable success relies heavily upon maintaining internal headcount dedicated to vendor management, an open collaboration approach and a solid information technology infrastructure with complete transparency and visibility.

Automatic Analysis of Critical Incident Reports: Requirements and Use Cases.

PubMed

Denecke, Kerstin

2016-01-01

Increasingly, critical incident reports are used as a means to increase patient safety and quality of care. The entire potential of these sources of experiential knowledge remains often unconsidered since retrieval and analysis is difficult and time-consuming, and the reporting systems often do not provide support for these tasks. The objective of this paper is to identify potential use cases for automatic methods that analyse critical incident reports. In more detail, we will describe how faceted search could offer an intuitive retrieval of critical incident reports and how text mining could support in analysing relations among events. To realise an automated analysis, natural language processing needs to be applied. Therefore, we analyse the language of critical incident reports and derive requirements towards automatic processing methods. We learned that there is a huge potential for an automatic analysis of incident reports, but there are still challenges to be solved.

KSC00pp1583

NASA Image and Video Library

2000-10-18

During Super Safety and Health Day at KSC, keynote speaker Dr. Beck Weathers grimaces over the satellite photo of Mt. Everest being presented by Center Director Roy Bridges. Weathers spoke about his ordeal of surviving the 1996 Mt. Everest disaster and the lessons learned from the experience. Safety Day is a full day of NASA-sponsored, KSC and 45th Space Wing events involving a number of health and safety related activities: Displays, vendors, technical paper sessions, panel discussions, a keynote speaker, etc. The entire Center and Wing stand down to participate in the planned events. Safety Day is held annually to proactively increase awareness in safety and health among the government and contractor workforce population. The first guiding principle at KSC is “Safety and Health First.” KSC’s number one goal is to “Assure sound, safe and efficient practices and processes are in place for privatized/commercialized launch site processing.

KSC00pp1582

NASA Image and Video Library

2000-10-18

During Super Safety and Health Day at KSC, keynote speaker Dr. Beck Weathers is given a memento of his visit by Center Director Roy Bridges. Weathers spoke about his ordeal of surviving the 1996 Mt. Everest disaster and the lessons learned from the experience. Safety Day is a full day of NASA-sponsored, KSC and 45th Space Wing events involving a number of health and safety related activities: Displays, vendors, technical paper sessions, panel discussions, a keynote speaker, etc. The entire Center and Wing stand down to participate in the planned events. Safety Day is held annually to proactively increase awareness in safety and health among the government and contractor workforce population. The first guiding principle at KSC is “Safety and Health First.” KSC’s number one goal is to “Assure sound, safe and efficient practices and processes are in place for privatized/commercialized launch site processing.

KSC-00pp1583

NASA Image and Video Library

2000-10-18

During Super Safety and Health Day at KSC, keynote speaker Dr. Beck Weathers grimaces over the satellite photo of Mt. Everest being presented by Center Director Roy Bridges. Weathers spoke about his ordeal of surviving the 1996 Mt. Everest disaster and the lessons learned from the experience. Safety Day is a full day of NASA-sponsored, KSC and 45th Space Wing events involving a number of health and safety related activities: Displays, vendors, technical paper sessions, panel discussions, a keynote speaker, etc. The entire Center and Wing stand down to participate in the planned events. Safety Day is held annually to proactively increase awareness in safety and health among the government and contractor workforce population. The first guiding principle at KSC is “Safety and Health First.” KSC’s number one goal is to “Assure sound, safe and efficient practices and processes are in place for privatized/commercialized launch site processing.

Using face validity to recognize empirical community observations.

PubMed

Gaber, John; Gaber, Sharon L

2010-05-01

There is a growing interest among international planning scholars to explore community participation in the plan making process from a qualitative research approach. In this paper the research assessment tool "face validity" is discussed as one way to help planners decipher when the community is sharing empirically grounded observations that can advance the applicability of the plan making process. Face validity provides a common sense assessment of research conclusions. It allows the assessor to look at an entire research project and ask: "on the face of things, does this research make sense?" With planners listening to citizen comments with an ear for face validity observations, holds open the opportunity for government to empirically learn from the community to see if they "got it right." And if not, to chart out a course on how they can get it right. Copyright 2009 Elsevier Ltd. All rights reserved.

Psychological assessment of factors affecting pain

PubMed Central

Pos, Robert

1974-01-01

Use of traditional stimulus-response models of pain leads to differentiation between organic and psychogenic pain, which is often not helpful, if not dangerous, in treating chronic pain. Pain does not simply reflect bodily damage but also complex psychological malfunctioning. Viewing chronic pain as an obsessional state may often help in treating the entire patient and prevent the physician from being obsessed with the patient's obsession. Psychological assessment of pain should focus on the role of psychological processes in the multifactorial causation of the illness causing the pain, notably their role in illness-proneness in general. Also, iatrogenic psychological distress, associatively precipitated psychological conflict and illness-perpetuating psychological processes should be looked for. A serious obstacle to progress with pain problems is not lack of hard data but conceptual confusion. Before medicine can meaningfully assess psychological factors in pain problems it must first learn to perceive psychological disturbances in medical and surgical patients. PMID:4434290

Local Approximation and Hierarchical Methods for Stochastic Optimization

NASA Astrophysics Data System (ADS)

Cheng, Bolong

In this thesis, we present local and hierarchical approximation methods for two classes of stochastic optimization problems: optimal learning and Markov decision processes. For the optimal learning problem class, we introduce a locally linear model with radial basis function for estimating the posterior mean of the unknown objective function. The method uses a compact representation of the function which avoids storing the entire history, as is typically required by nonparametric methods. We derive a knowledge gradient policy with the locally parametric model, which maximizes the expected value of information. We show the policy is asymptotically optimal in theory, and experimental works suggests that the method can reliably find the optimal solution on a range of test functions. For the Markov decision processes problem class, we are motivated by an application where we want to co-optimize a battery for multiple revenue, in particular energy arbitrage and frequency regulation. The nature of this problem requires the battery to make charging and discharging decisions at different time scales while accounting for the stochastic information such as load demand, electricity prices, and regulation signals. Computing the exact optimal policy becomes intractable due to the large state space and the number of time steps. We propose two methods to circumvent the computation bottleneck. First, we propose a nested MDP model that structure the co-optimization problem into smaller sub-problems with reduced state space. This new model allows us to understand how the battery behaves down to the two-second dynamics (that of the frequency regulation market). Second, we introduce a low-rank value function approximation for backward dynamic programming. This new method only requires computing the exact value function for a small subset of the state space and approximate the entire value function via low-rank matrix completion. We test these methods on historical price data from the PJM Interconnect and show that it outperforms the baseline approach used in the industry.

Aerosol Beam Focused-Laser Induced Plasma Spectrometer (ABF-LIPS) Continuous Emissions Multi-Metals Analyzer

DTIC Science & Technology

2012-06-01

heating are possible, but will add to system cost. 6.5 LESSONS LEARNED Reliable spiking of the airstream with metals proved to be a challenge . Based on...designed to allow calibration of the CEMS by use of standard solutions, filters, etc that challenge the pollutant analyzer part of the CEMS (and as much...of the whole system as possible), but which do not challenge the entire CEMS, including the sampling interface. Satisfactory response of the entire

Teaching and Learning Science for Transformative, Aesthetic Experience

NASA Astrophysics Data System (ADS)

Girod, Mark; Twyman, Todd; Wojcikiewicz, Steve

2010-11-01

Drawing from the Deweyan theory of experience (1934, 1938), the goal of teaching and learning for transformative, aesthetic experience is contrasted against teaching and learning from a cognitive, rational framework. A quasi-experimental design was used to investigate teaching and learning of fifth grade science from each perspective across an entire school year including three major units of instruction. Detailed comparisons of teaching are given and pre and post measures of interest in learning science, science identity affiliation, and efficacy beliefs are investigated. Tests of conceptual understanding before, after, and one month after instruction reveal teaching for transformative, aesthetic experience fosters more, and more enduring, learning of science concepts. Investigations of transfer also suggest students learning for transformative, aesthetic experiences learn to see the world differently and find more interest and excitement in the world outside of school.

What makes deeply encoded items memorable? Insights into the levels of processing framework from neuroimaging and neuromodulation.

PubMed

Galli, Giulia

2014-01-01

When we form new memories, their mnestic fate largely depends upon the cognitive operations set in train during encoding. A typical observation in experimental as well as everyday life settings is that if we learn an item using semantic or "deep" operations, such as attending to its meaning, memory will be better than if we learn the same item using more "shallow" operations, such as attending to its structural features. In the psychological literature, this phenomenon has been conceptualized within the "levels of processing" framework and has been consistently replicated since its original proposal by Craik and Lockhart in 1972. However, the exact mechanisms underlying the memory advantage for deeply encoded items are not yet entirely understood. A cognitive neuroscience perspective can add to this field by clarifying the nature of the processes involved in effective deep and shallow encoding and how they are instantiated in the brain, but so far there has been little work to systematically integrate findings from the literature. This work aims to fill this gap by reviewing, first, some of the key neuroimaging findings on the neural correlates of deep and shallow episodic encoding and second, emerging evidence from studies using neuromodulatory approaches such as psychopharmacology and non-invasive brain stimulation. Taken together, these studies help further our understanding of levels of processing. In addition, by showing that deep encoding can be modulated by acting upon specific brain regions or systems, the reviewed studies pave the way for selective enhancements of episodic encoding processes.

The Benefits of Adding SETI to the University Curriculum and What We Have Learned from a SETI Course Recently Offered at UCLA

NASA Astrophysics Data System (ADS)

Lesyna, Larry; Margot, Jean-Luc; Greenberg, Adam; Shinde, Akshay; Alladi, Yashaswi; Prasad MN, Srinivas; Bowman, Oliver; Fisher, Callum; Gyalay, Szilard; McKibbin, William; Miles, Brittany E.; Nguyen, Donald; Power, Conor; Ramani, Namrata; Raviprasad, Rashmi; Santana, Jesse

2017-01-01

We advocate for the inclusion of a full-term course entirely devoted to SETI in the university curriculum. SETI usually warrants only a few lectures in a traditional astronomy or astrobiology course. SETI’s rich interdisciplinary character serves astronomy students by introducing them to scientific and technological concepts that will aid them in their dissertation research or later in their careers. SETI is also an exciting topic that draws students from other disciplines and teaches them astronomical concepts that they might otherwise never encounter in their university studies. We have composed syllabi that illustrate the breadth and depth that SETI courses provide for advanced undergraduate or graduate students. The syllabi can also be used as a guide for an effective SETI course taught at a descriptive level.After a pilot course in 2015, UCLA formally offered a course titled "EPSS C179/279 - Search for Extraterrestrial Intelligence: Theory and Applications" in Spring 2016. The course was designed for advanced undergraduate students and graduate students in the science, technical, engineering, and mathematical fields. In 2016, 9 undergraduate students and 5 graduate students took the course. Students designed an observing sequence for the Arecibo and Green Bank telescopes, observed known planetary systems remotely, wrote a sophisticated and modular data processing pipeline, analyzed the data, and presented the results. In the process, they learned radio astronomy fundamentals, software development, signal processing, and statistics. The instructor believes that the students were eager to learn because of the engrossing nature of SETI. The students rated the course highly, in part because of the observing experience and the teamwork approach. The next offering will be in Spring 2017.See lxltech.com and seti.ucla.edu

The 1776 Box

ERIC Educational Resources Information Center

Dick, Marcia

1975-01-01

An eighth grade social studies teacher at the East Brook Junior High School in Paramus, New Jersey, prepared a Bicentennial teaching kit designed to enhance the educational experience of students learning about their state or entire country. (Editor/RK)

Surface EMG signals based motion intent recognition using multi-layer ELM

NASA Astrophysics Data System (ADS)

Wang, Jianhui; Qi, Lin; Wang, Xiao

2017-11-01

The upper-limb rehabilitation robot is regard as a useful tool to help patients with hemiplegic to do repetitive exercise. The surface electromyography (sEMG) contains motion information as the electric signals are generated and related to nerve-muscle motion. These sEMG signals, representing human's intentions of active motions, are introduced into the rehabilitation robot system to recognize upper-limb movements. Traditionally, the feature extraction is an indispensable part of drawing significant information from original signals, which is a tedious task requiring rich and related experience. This paper employs a deep learning scheme to extract the internal features of the sEMG signals using an advanced Extreme Learning Machine based auto-encoder (ELMAE). The mathematical information contained in the multi-layer structure of the ELM-AE is used as the high-level representation of the internal features of the sEMG signals, and thus a simple ELM can post-process the extracted features, formulating the entire multi-layer ELM (ML-ELM) algorithm. The method is employed for the sEMG based neural intentions recognition afterwards. The case studies show the adopted deep learning algorithm (ELM-AE) is capable of yielding higher classification accuracy compared to the Principle Component Analysis (PCA) scheme in 5 different types of upper-limb motions. This indicates the effectiveness and the learning capability of the ML-ELM in such motion intent recognition applications.

What Does It Mean to Learn Oral and Written English Language: A Case Study of a Rural Kenyan Classroom

ERIC Educational Resources Information Center

Lisanza, Esther Mukewa

2011-01-01

This study was an ethnographic case study that investigated oral and written language learning in a first grade classroom in Kenya. The languages used in this classroom were Swahili and English only. Kamba the mother tongue of the majority of the children, was banned in the entire school. In this classroom there were 89 children with two teachers,…

Let's Get Real: Deeper Learning and the Power of the Workplace. Deeper Learning Research Series. Policy Bulletin

ERIC Educational Resources Information Center

Hoffman, Nancy

2015-01-01

In the United States, we tend to assume that young people should become educated and then go to work, as though the two were entirely separate stages of life. This dichotomy blinds us to the fact that work itself can be a powerful means of education-giving students opportunities to apply academic subject matter to real-world problems, and pushing…

A Quasi Experiment to Determine the Effectiveness of a "Partially Flipped" versus "Fully Flipped" Undergraduate Class in Genetics and Evolution

ERIC Educational Resources Information Center

Adams, Alison E. M.; Garcia, Jocelyn; Traustadóttir, Tinna

2016-01-01

Two sections of Genetics and Evolution were taught by one instructor. One group (the fully flipped section) had the entire class period devoted to active learning (with background material that had to be watched before class), and the other group (the partially flipped section) had just a portion of class time spent on active learning (with the…

Canadian dental students' perceptions of their learning environment and psychological functioning over time.

PubMed

Stewart, Donald W; de Vries, Johann; Singer, David L; Degen, Gene G; Wener, Pam

2006-09-01

A cohort of dental students (N=28) at the University of Manitoba was followed throughout their entire dental education program to explore changes in their perceptions of the learning environment over time. Aspects of the students'psychological functioning, including common psychological symptoms, self-esteem, and coping strategies, were also evaluated to assess changes in these factors over time. A battery of instruments consisting of the Learning Environment Survey (LES), the Symptom Questionnaire (SQ), the Ways of Coping Checklist (WCCL), and the State Self-Esteem Scale (SSES) was administered at the beginning, midpoint, and end of each academic year throughout the four-year dental education program. Results indicated that there was a minor positive recalibration of student perceptions in the areas of course relevance and opportunities for outside interests during the first months of year one. Apart from this, perceptions of dental school as a seldom-to-occasionally positive learning environment were maintained over the entire dental education program. In terms of psychological functioning over time, students reported decreases in their levels of problem-focused coping and self-esteem, increased use of avoidance and wishful thinking as coping strategies, and more anxiety, depression, and hostility at various points. Some implications of these findings for dental education are discussed.

An Automated Blur Detection Method for Histological Whole Slide Imaging

PubMed Central

Moles Lopez, Xavier; D'Andrea, Etienne; Barbot, Paul; Bridoux, Anne-Sophie; Rorive, Sandrine; Salmon, Isabelle; Debeir, Olivier; Decaestecker, Christine

2013-01-01

Whole slide scanners are novel devices that enable high-resolution imaging of an entire histological slide. Furthermore, the imaging is achieved in only a few minutes, which enables image rendering of large-scale studies involving multiple immunohistochemistry biomarkers. Although whole slide imaging has improved considerably, locally poor focusing causes blurred regions of the image. These artifacts may strongly affect the quality of subsequent analyses, making a slide review process mandatory. This tedious and time-consuming task requires the scanner operator to carefully assess the virtual slide and to manually select new focus points. We propose a statistical learning method that provides early image quality feedback and automatically identifies regions of the image that require additional focus points. PMID:24349343

Combining spatial and spectral information to improve crop/weed discrimination algorithms

NASA Astrophysics Data System (ADS)

Yan, L.; Jones, G.; Villette, S.; Paoli, J. N.; Gée, C.

2012-01-01

Reduction of herbicide spraying is an important key to environmentally and economically improve weed management. To achieve this, remote sensors such as imaging systems are commonly used to detect weed plants. We developed spatial algorithms that detect the crop rows to discriminate crop from weeds. These algorithms have been thoroughly tested and provide robust and accurate results without learning process but their detection is limited to inter-row areas. Crop/Weed discrimination using spectral information is able to detect intra-row weeds but generally needs a prior learning process. We propose a method based on spatial and spectral information to enhance the discrimination and overcome the limitations of both algorithms. The classification from the spatial algorithm is used to build the training set for the spectral discrimination method. With this approach we are able to improve the range of weed detection in the entire field (inter and intra-row). To test the efficiency of these algorithms, a relevant database of virtual images issued from SimAField model has been used and combined to LOPEX93 spectral database. The developed method based is evaluated and compared with the initial method in this paper and shows an important enhancement from 86% of weed detection to more than 95%.

Teaching midwife students how to break bad news using the cinema: an Italian qualitative study.

PubMed

Fieschi, Laura; Burlon, Barbara; De Marinis, Maria Grazia

2015-03-01

Delivering bad news is a difficult task that involves all healthcare professionals, including midwives. The hypothesis is that, in order to learn how to disclose and to discuss bad news, students need a phase of personal reflection, of awareness of their own emotional processes. The use of films in healthcare education can foster this process evoking different emotions concerning suffering and disease, in a "safety zone". This study examines the effects that a course, which uses reflection as a method of learning and the cinema as a teaching tool, produces on a little group of Italian third-year Midwifery students. From the content analysis (supported by Atlas-Ti(®) software) of the texts produced by the students after the vision of two entire films, it appears that they correctly identified many elements related to good and poor communication of bad news and that they were able to describe the emotions felt while watching the film, but still revealed a certain difficulty to interpret them. The course helped students to recognize the value of reflection on their emotions to better understand others, to empathize with people who suffer, but also to recognize their difficulties and compete with their own limits. Copyright © 2015 Elsevier Ltd. All rights reserved.

How fifth grade Latino/a bilingual students use their linguistic resources in the classroom and laboratory during science instruction

NASA Astrophysics Data System (ADS)

Stevenson, Alma R.

2013-12-01

This qualitative, sociolinguistic research study examines how bilingual Latino/a students use their linguistic resources in the classroom and laboratory during science instruction. This study was conducted in a school in the southwestern United States serving an economically depressed, predominantly Latino population. The object of study was a fifth grade science class entirely comprised of language minority students transitioning out of bilingual education. Therefore, English was the means of instruction in science, supported by informal peer-to-peer Spanish-language communication. This study is grounded in a social constructivist paradigm. From this standpoint, learning science is a social process where social, cultural, and linguistic factors are all considered crucial to the process of acquiring scientific knowledge. The study was descriptive in nature, examining specific linguistic behaviors with the purpose of identifying and analyzing the linguistic functions of students' utterances while participating in science learning. The results suggest that students purposefully adapt their use of linguistic resources in order to facilitate their participation in science leaning. What is underscored in this study is the importance of explicitly acknowledging, supporting, and incorporating bilingual students' linguistic resources both in Spanish and English into the science classroom in order to optimize students' participation and facilitate their understanding.

Automatic Satellite Telemetry Analysis for SSA using Artificial Intelligence Techniques

NASA Astrophysics Data System (ADS)

Stottler, R.; Mao, J.

In April 2016, General Hyten, commander of Air Force Space Command, announced the Space Enterprise Vision (SEV) (http://www.af.mil/News/Article-Display/Article/719941/hyten-announces-space-enterprise-vision/). The SEV addresses increasing threats to space-related systems. The vision includes an integrated approach across all mission areas (communications, positioning, navigation and timing, missile warning, and weather data) and emphasizes improved access to data across the entire enterprise and the ability to protect space-related assets and capabilities. "The future space enterprise will maintain our nation's ability to deliver critical space effects throughout all phases of conflict," Hyten said. Satellite telemetry is going to become available to a new audience. While that telemetry information should be valuable for achieving Space Situational Awareness (SSA), these new satellite telemetry data consumers will not know how to utilize it. We were tasked with applying AI techniques to build an infrastructure to process satellite telemetry into higher abstraction level symbolic space situational awareness and to initially populate that infrastructure with useful data analysis methods. We are working with two organizations, Montana State University (MSU) and the Air Force Academy, both of whom control satellites and therefore currently analyze satellite telemetry to assess the health and circumstances of their satellites. The design which has resulted from our knowledge elicitation and cognitive task analysis is a hybrid approach which combines symbolic processing techniques of Case-Based Reasoning (CBR) and Behavior Transition Networks (BTNs) with current Machine Learning approaches. BTNs are used to represent the process and associated formulas to check telemetry values against anticipated problems and issues. CBR is used to represent and retrieve BTNs that represent an investigative process that should be applied to the telemetry in certain circumstances. Machine Learning is used to learn normal patterns of telemetry, learn pre-mission simulated telemetry patterns that represent known problems, and detect both pre-trained known and unknown abnormalities in real-time. The operational system is currently being implemented and applied to real satellite telemetry data. This paper presents the design, examples, and results of the first version as well as planned future work.

Development of a transferable student engagement and knowledge retention framework for the earth sciences

NASA Astrophysics Data System (ADS)

Palsole, Sunay Vasant

The earth sciences play an important role in engaging students in science and in science, technology, engineering and mathematics (STEM) disciplines, because of the integrative nature of the disciplines. It then becomes important for us to provide an engaging experience for students taking earth science courses, because it serves a dual purpose of possibly increasing new majors in the discipline and helping to create a science literate population. Given that a majority of students in the larger introductory courses are non-majors, it behooves us to explore alternative engagement techniques and measure their efficacy in student engagement, which in turn can help inform instructional design for advanced geoscience courses. This study focused on creating a highly engaging course using inquiry based learning scenarios inter-spread throughout the semester along with heuristic quizzes (a series of questions in a specific sequence that map to a process) with very specific feedback that help students understand the development of the earth processes. Along with the heuristic quizzes, the course was transformed into an active learning based hybrid course, where the didactic content was uploaded and made available to the students using a learning management system and class time was spent working on application exercises that were developed by me. I chose specific scenarios and processes that the students could possibly encounter in the greater El Paso region to provide a local and situational aspect to the exercises. The course and instructional design process followed a period of 18 months with each semester providing data to jigsaw into the final design. Student performance data, both qualitative (self efficacy, self reported engagement ) as well as quantitative scales (performance on assessments, course grades) was collected over the entire development period. Comparative data of the hybrid course and a traditional course indicate improved student performance in the active learning course over the traditional course. The data also indicate that the students had greater content retention 8 week after the course had ended in the hybrid course over the traditional course. The study then presents a nascent model for the design of earth science courses.

Drag Reduction of an Airfoil Using Deep Learning

NASA Astrophysics Data System (ADS)

Jiang, Chiyu; Sun, Anzhu; Marcus, Philip

2017-11-01

We reduced the drag of a 2D airfoil by starting with a NACA-0012 airfoil and used deep learning methods. We created a database which consists of simulations of 2D external flow over randomly generated shapes. We then developed a machine learning framework for external flow field inference given input shapes. Past work which utilized machine learning in Computational Fluid Dynamics focused on estimations of specific flow parameters, but this work is novel in the inference of entire flow fields. We further showed that learned flow patterns are transferable to cases that share certain similarities. This study illustrates the prospects of deeper integration of data-based modeling into current CFD simulation frameworks for faster flow inference and more accurate flow modeling.

ADL State of the Union. Where We Are and Where We Are Going

DTIC Science & Technology

2009-08-18

Activities  Job Performance Technology Center  Resources 2 ADL Vision Provide access to the highest quality education and training, tailored to...LETSI  Others New Direction – Harmonization  Independent development of point-solutions has caused fragmentation of e- learning technologies ...Ed Tech Working Group  DoD designated as leader in learning technology research  Interest in CORDRA/ADL-R as framework for entire government

Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner—experimental evidence and theoretical model

PubMed Central

Kostrubiec, Viviane; Zanone, Pier-Giorgio; Fuchs, Armin; Kelso, J. A. Scott

2012-01-01

Using an approach that combines experimental studies of bimanual movements to visual stimuli and theoretical modeling, the present paper develops a dynamical account of sensorimotor learning, that is, how new skills are acquired and old ones modified. A significant aspect of our approach is the focus on the individual learner as the basic unit of analysis, in particular the quantification of predispositions and capabilities that the individual learner brings to the learning environment. Such predispositions constitute the learner's behavioral repertoire, captured here theoretically as a dynamical landscape (“intrinsic dynamics”). The learning process is demonstrated to not only lead to a relatively permanent improvement of performance in the required task—the usual outcome—but also to alter the individual's entire repertoire. Changes in the dynamical landscape due to learning are shown to result from two basic mechanisms or “routes”: bifurcation and shift. Which mechanism is selected depends the initial individual repertoire before new learning begins. Both bifurcation and shift mechanisms are accommodated by a dynamical model, a relatively straightforward development of the well-established HKB model of movement coordination. Model simulations show that although environmental or task demands may be met equally well using either mechanism, the bifurcation route results in greater stabilization of the to-be-learned behavior. Thus, stability not (or not only) error is demonstrated to be the basis of selection, both of a new pattern of behavior and the path (smooth shift versus abrupt qualitative change) that learning takes. In line with these results, recent neurophysiological evidence indicates that stability is a relevant feature around which brain activity is organized while an individual performs a coordination task. Finally, we explore the consequences of the dynamical approach to learning for theories of biological change. PMID:22876227

Chronic Pain Can Interfere with Sexuality

MedlinePlus

... easier to move to the next step of physical intimacy. Start reconnecting physically with an exploration of each other's bodies that avoids the genitals entirely (sensate focusing). The goal is not orgasm. Instead, you're learning more about what feels ...

76 FR 1606 - Privacy Act of 1974; System of Records

Federal Register 2010, 2011, 2012, 2013, 2014

2011-01-11

... Number (SSN), rank, gender, birth date, medical appointment scheduling information, employment... manage the entire learning environment for all soldiers. Training managers at separate companies..., unit number, rank, military occupational specialty, skill level, and signature. In addition, the...

The Development of an Instrument to Measure the Project Competences of College Students in Online Project-Based Learning

NASA Astrophysics Data System (ADS)

Lin, Chien-Liang

2018-02-01

This study sought to develop a self-report instrument to be used in the assessment of the project competences of college students engaged in online project-based learning. Three scales of the KIPSSE instrument developed for this study, namely, the knowledge integration, project skills, and self-efficacy scales, were based on related theories and the analysis results of three project advisor interviews. Those items of knowledge integration and project skill scales focused on the integration of different disciplines and technological skills separately. Two samples of data were collected from information technology-related courses taught with an online project-based learning strategy over different semesters at a college in southern Taiwan. The validity and reliability of the KIPSSE instrument were confirmed through item analysis and confirmatory factor analysis using structural equation modeling of two samples of students' online response sets separately. The Cronbach's alpha reliability coefficient for the entire instrument was 0.931; for each scale, the alpha ranged from 0.832 to 0.907. There was also a significant correlation ( r = 0.55, p < 0.01) between the KIPSSE instrument results and the students' product evaluation scores. The findings of this study confirmed the validity and reliability of the KIPSSE instrument. The confirmation process and related implications are also discussed.

Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy.

PubMed

Jia, Zi-Jun; Song, Yong-Duan

2017-06-01

This paper presents a new approach to construct neural adaptive control for uncertain nonaffine systems. By integrating locally weighted learning with barrier Lyapunov function (BLF), a novel control design method is presented to systematically address the two critical issues in neural network (NN) control field: one is how to fulfill the compact set precondition for NN approximation, and the other is how to use varying rather than a fixed NN structure to improve the functionality of NN control. A BLF is exploited to ensure the NN inputs to remain bounded during the entire system operation. To account for system nonlinearities, a neuron self-growing strategy is proposed to guide the process for adding new neurons to the system, resulting in a self-adjustable NN structure for better learning capabilities. It is shown that the number of neurons needed to accomplish the control task is finite, and better performance can be obtained with less number of neurons as compared with traditional methods. The salient feature of the proposed method also lies in the continuity of the control action everywhere. Furthermore, the resulting control action is smooth almost everywhere except for a few time instants at which new neurons are added. Numerical example illustrates the effectiveness of the proposed approach.

Modeling Gas and Gas Hydrate Accumulation in Marine Sediments Using a K-Nearest Neighbor Machine-Learning Technique

NASA Astrophysics Data System (ADS)

Wood, W. T.; Runyan, T. E.; Palmsten, M.; Dale, J.; Crawford, C.

2016-12-01

Natural Gas (primarily methane) and gas hydrate accumulations require certain bio-geochemical, as well as physical conditions, some of which are poorly sampled and/or poorly understood. We exploit recent advances in the prediction of seafloor porosity and heat flux via machine learning techniques (e.g. Random forests and Bayesian networks) to predict the occurrence of gas and subsequently gas hydrate in marine sediments. The prediction (actually guided interpolation) of key parameters we use in this study is a K-nearest neighbor technique. KNN requires only minimal pre-processing of the data and predictors, and requires minimal run-time input so the results are almost entirely data-driven. Specifically we use new estimates of sedimentation rate and sediment type, along with recently derived compaction modeling to estimate profiles of porosity and age. We combined the compaction with seafloor heat flux to estimate temperature with depth and geologic age, which, with estimates of organic carbon, and models of methanogenesis yield limits on the production of methane. Results include geospatial predictions of gas (and gas hydrate) accumulations, with quantitative estimates of uncertainty. The Generic Earth Modeling System (GEMS) we have developed to derive the machine learning estimates is modular and easily updated with new algorithms or data.

Drawing method can improve musculoskeletal anatomy comprehension in medical faculty student.

PubMed

Joewono, Muliani; Karmaya, I Nyoman Mangku; Wirata, Gede; Yuliana; Widianti, I Gusti Ayu; Wardana, I Nyoman Gede

2018-03-01

The Chinese philosophy of Confucianism said "What I heard I forgot, what I see, I remember, what I do, I understand." During this time, most of the teaching and learning process relies on viewing and listening modalities only. As a result, much information does not last long in memory as well as the material understanding achieves became less deep. In studying anatomy science, drawing is one of effective important methods because it is an integration of ideas and knowledge of vision thereby increasing comprehension and learning motivation of college students. The purpose of this research is to know the musculoskeletal anatomy comprehension by drawing learning method in Medical Faculty student. This research uses observational analytic design with the cross-sectional design. Total sampling was done to the entire student of Physiotherapy Study Program in 2012, 2013, and 2014, Medical Faculty of Udayana University. The average value of musculoskeletal anatomy of the student in 2012, 2013, and 2014 sequentially are 31.67, 33.57, and 45.00, respectively. Normality test with Shapiro-Wilk and homogeneity with Levene's test showed normal results and homogeneous. One-way ANOVA test between groups showed a significant result that is 11.00 ( P <0.05). It is concluded that the drawing method can improve the musculoskeletal anatomy comprehension in Medical Faculty student.

Matriarchal model for cardiovascular prevention.

PubMed

Wild, R A; Taylor, E L; Knehans, A; Cleaver, V

1994-02-01

Family patterns of cardiovascular risk behavior are well documented. Significant correlation exists between spouse-spouse, parent-child, and sibling-sibling for cholesterol, high- and low-density lipoprotein, diet, physical activity, and smoking. Family/environmental influences are important in how/if risk and/or preventive behavior is learned. The family matriarch commonly functions as gatekeeper, controlling eating behavior, access to health care, and other patterns. She often acts as menu planner, shopper, and preparer of meals for all family members. She provides information and verbal reinforcement about food and is a powerful model concerning dietary practices. In fact, the mother, as head of household in most single-parent families, may be the only adult model for many children. Because relevance and credibility are the most important characteristics of a behavioral model, parents (especially mothers) are strong models for observational learning by children. Risk factor information and risk reduction activities adopted by the matriarch can be generalized to the entire family if she learns the skills to act as a change agent. Initiation of this process of education and training the matriarch lies with primary care providers for women (Ob-Gyns see most women). By teaching risk reduction to the matriarch as a component of primary care, physician interaction can have a rippling effect.

Loss of Signal: Aeromedical Lessons Learned from the STS-107 Columbia Space Shuttle Mishap

NASA Technical Reports Server (NTRS)

Stepaniak, Philip C. (Editor); Lane, Helen W. (Editor); Davis, Jeffrey R.

2014-01-01

The editors of Loss of Signal wanted to document the aeromedical lessons learned from the Space Shuttle Columbia mishap. The book is intended to be an accurate and easily understood account of the entire process of recovering and analyzing the human remains, investigating and analyzing what happened to the crew, and using the resulting information to recommend ways to prevent mishaps and provide better protection to crewmembers. Our goal is to capture the passions of those who devoted their energies in responding to the Columbia mishap. We have reunited authors who were directly involved in each of these aspects. These authors tell the story of their efforts related to the Columbia mishap from their point of view. They give the reader an honest description of their responsibilities and share their challenges, their experiences, and their lessons learned on how to enhance crew safety and survival, and how to be prepared to support space mishap investigations. As a result of this approach, a few of the chapters have some redundancy of information and authors' opinions may differ. In no way did we or they intend to assign blame or criticize anyone's professional efforts. All those involved did their best to obtain the truth in the situations to which they were assigned.

What Makes Deeply Encoded Items Memorable? Insights into the Levels of Processing Framework from Neuroimaging and Neuromodulation

PubMed Central

Galli, Giulia

2014-01-01

When we form new memories, their mnestic fate largely depends upon the cognitive operations set in train during encoding. A typical observation in experimental as well as everyday life settings is that if we learn an item using semantic or “deep” operations, such as attending to its meaning, memory will be better than if we learn the same item using more “shallow” operations, such as attending to its structural features. In the psychological literature, this phenomenon has been conceptualized within the “levels of processing” framework and has been consistently replicated since its original proposal by Craik and Lockhart in 1972. However, the exact mechanisms underlying the memory advantage for deeply encoded items are not yet entirely understood. A cognitive neuroscience perspective can add to this field by clarifying the nature of the processes involved in effective deep and shallow encoding and how they are instantiated in the brain, but so far there has been little work to systematically integrate findings from the literature. This work aims to fill this gap by reviewing, first, some of the key neuroimaging findings on the neural correlates of deep and shallow episodic encoding and second, emerging evidence from studies using neuromodulatory approaches such as psychopharmacology and non-invasive brain stimulation. Taken together, these studies help further our understanding of levels of processing. In addition, by showing that deep encoding can be modulated by acting upon specific brain regions or systems, the reviewed studies pave the way for selective enhancements of episodic encoding processes. PMID:24904444

Technology Education Using a Novel Approach in e-Learning-Towards Optimizing the Quality of Learning Outcomes

NASA Astrophysics Data System (ADS)

Malkawi, M. I.; Hawarey, M. M.

2012-04-01

Ever since the advent of the new era in presenting taught material in Electronic Form, international bodies, academic institutions, public sectors, as well as specialized entities in the private sector, globally, have all persevered to exploit the power of Distance Learning and e-Learning to disseminate the knowledge in Science and Art using the ubiquitous World Wide Web and its supporting Internet and Internetworking. Many Science & Education-sponsoring bodies, like UNESCO, the European Community, and the World Bank have been keen at funding multinational Distance Learning projects, many of which were directed at an educated audience in certain technical areas. Many countries around the Middle East have found a number of interested European partners to launch funding requests, and were generally successful in their solicitation efforts for the needed funds from these funding bodies. Albeit their intricacies in generating a wealth of knowledge in electronic form, many of the e-Learning schemas developed thus far, have only pursued their goals in the most conventional of ways; In essence, there had been little innovation introduced to gain anything, if any, above traditional classroom lecturing, other than, of course, the gained advantage of the simultaneous online testing and evaluation of the learned material by the examinees. In a sincere effort to change the way in which people look at the merits of e-Learning, and seek the most out of it, we shall propose a novel approach aimed at optimizing the learning outcomes of presented materials. In this paper we propose what shall henceforth be called as Iterative e-Learning. In Iterative e-Learning, as the name implies, a student uses some form of electronic media to access course material in a specific subject. At the end of each phase (Section, Chapter, Session, etc.) on a specific topic, the student is assessed online of how much he/she would have achieved before he/she would move on. If the student fails, due to some delinquency on a particular topic, the online process of e-Learning would take the student at some more detailed and deeper level on the subject matter where he/she had failed; once the student bridges the gap, to this end, then the ongoing e-Learning process would carry him/her further up the next level of the subject matter he/she is pursuing. This process is carried on at all levels of learning: section, chapter, and course level. A student may not progress to the next course level before he/she would pass the entire course at 80% or more. If in the process of repeating some section, chapter, or a whole course, then the student shall be required to score a higher percentage than the mere 80% he was required to attain the first time around; say 5% more per iteration he/she makes. Here, students going through Iterative e-Learning shall be allowed to move on to the next level of learning sooner than others if the time that takes them to learn a particular topic is shorter than would normally require an average student to expend, provided, of course, they make it through all the required assessment phases. Unlike the traditional ways of classroom or online lecturing, a student going through Iterative e-Learning is expected to achieve a quality of learning never before achieved via standard pedagogical methodologies. With Iterative e-Learning, it is expected that poorly accredited academic institutions will be able, for the first time, to produce the quality of graduates who are more capable of competing for highly paying jobs globally, and to be of the quality of contributing in more industry-supported economies.

Early deprivation disruption of associative learning is a developmental pathway to depression and social problems.

PubMed

Sheridan, Margaret A; McLaughlin, Katie A; Winter, Warren; Fox, Nathan; Zeanah, Charles; Nelson, Charles A

2018-06-07

Exposure to psychosocial deprivation is associated with elevations in numerous forms of impairment throughout the life-course. Disruptions in associative learning may be a key mechanism through which adversity, particularly psychosocial deprivation, increases risk for impairment. Existing data consistent with this claim come entirely from correlational studies. Here, we present the first experimental evidence relating psychosocial deprivation and disruptions in multiple forms of associative learning. Using data from the Bucharest Early Intervention Project, we demonstrate that randomized placement into a family caregiving environment during the infant/toddler period as compared to prolonged institutional care normalizes two forms of associative learning in early adolescence: reward responsivity and implicit motor learning. These forms of associative learning significantly mediate the effect of institutional rearing on depressive symptoms and peer relationships. In sum, we provide evidence for a novel pathway linking early experience to psychopathology and peer relationships through basic associative learning mechanisms.

Disproportionality and Learning Disabilities: Parsing Apart Race, Socioeconomic Status, and Language

PubMed Central

Shifrer, Dara; Muller, Chandra; Callahan, Rebecca

2014-01-01

The disproportionate identification of learning disabilities among certain socio-demographic subgroups, typically groups who are already disadvantaged, is perceived as a persistent problem within the education system. The academic and social experiences of students who are misidentified with a learning disability may be severely restricted, while students with a learning disability who are never identified are less likely to receive the accommodations and modifications necessary to learn at their maximum potential. We use the Education Longitudinal Study of 2002 to describe national patterns in learning disability identification. Results indicate that socio-demographic characteristics are predictive of identification with a learning disability. While some conventional areas of disproportionality are confirmed (males and language minorities), differences in SES entirely account for African-American and Hispanic disproportionality. Discrepancy between the results of bivariate and multivariate analyses confirms the importance of employing multivariate multilevel models in investigation of disproportionality. PMID:20587753

PCM-SABRE: a platform for benchmarking and comparing outcome prediction methods in precision cancer medicine.

PubMed

Eyal-Altman, Noah; Last, Mark; Rubin, Eitan

2017-01-17

Numerous publications attempt to predict cancer survival outcome from gene expression data using machine-learning methods. A direct comparison of these works is challenging for the following reasons: (1) inconsistent measures used to evaluate the performance of different models, and (2) incomplete specification of critical stages in the process of knowledge discovery. There is a need for a platform that would allow researchers to replicate previous works and to test the impact of changes in the knowledge discovery process on the accuracy of the induced models. We developed the PCM-SABRE platform, which supports the entire knowledge discovery process for cancer outcome analysis. PCM-SABRE was developed using KNIME. By using PCM-SABRE to reproduce the results of previously published works on breast cancer survival, we define a baseline for evaluating future attempts to predict cancer outcome with machine learning. We used PCM-SABRE to replicate previous work that describe predictive models of breast cancer recurrence, and tested the performance of all possible combinations of feature selection methods and data mining algorithms that was used in either of the works. We reconstructed the work of Chou et al. observing similar trends - superior performance of Probabilistic Neural Network (PNN) and logistic regression (LR) algorithms and inconclusive impact of feature pre-selection with the decision tree algorithm on subsequent analysis. PCM-SABRE is a software tool that provides an intuitive environment for rapid development of predictive models in cancer precision medicine.

Machine learning algorithms for mode-of-action classification in toxicity assessment.

PubMed

Zhang, Yile; Wong, Yau Shu; Deng, Jian; Anton, Cristina; Gabos, Stephan; Zhang, Weiping; Huang, Dorothy Yu; Jin, Can

2016-01-01

Real Time Cell Analysis (RTCA) technology is used to monitor cellular changes continuously over the entire exposure period. Combining with different testing concentrations, the profiles have potential in probing the mode of action (MOA) of the testing substances. In this paper, we present machine learning approaches for MOA assessment. Computational tools based on artificial neural network (ANN) and support vector machine (SVM) are developed to analyze the time-concentration response curves (TCRCs) of human cell lines responding to tested chemicals. The techniques are capable of learning data from given TCRCs with known MOA information and then making MOA classification for the unknown toxicity. A novel data processing step based on wavelet transform is introduced to extract important features from the original TCRC data. From the dose response curves, time interval leading to higher classification success rate can be selected as input to enhance the performance of the machine learning algorithm. This is particularly helpful when handling cases with limited and imbalanced data. The validation of the proposed method is demonstrated by the supervised learning algorithm applied to the exposure data of HepG2 cell line to 63 chemicals with 11 concentrations in each test case. Classification success rate in the range of 85 to 95 % are obtained using SVM for MOA classification with two clusters to cases up to four clusters. Wavelet transform is capable of capturing important features of TCRCs for MOA classification. The proposed SVM scheme incorporated with wavelet transform has a great potential for large scale MOA classification and high-through output chemical screening.

Efficient Learning for the Poor: New Insights into Literacy Acquisition for Children

NASA Astrophysics Data System (ADS)

Abadzi, Helen

2008-11-01

Reading depends on the speed of visual recognition and capacity of short-term memory. To understand a sentence, the mind must read it fast enough to capture it within the limits of the short-term memory. This means that children must attain a minimum speed of fairly accurate reading to understand a passage. Learning to read involves "tricking" the brain into perceiving groups of letters as coherent words. This is achieved most efficiently by pairing small units consistently with sounds rather than learning entire words. To link the letters with sounds, explicit and extensive practice is needed; the more complex the spelling of a language, the more practice is necessary. However, schools of low-income students often waste instructional time and lack reading resources, so students cannot get sufficient practice to automatize reading and may remain illiterate for years. Lack of reading fluency in the early grades creates inefficiencies that affect the entire educational system. Neurocognitive research on reading points to benchmarks and monitoring indicators. All students should attain reading speeds of 45-60 words per minute by the end of grade 2 and 120-150 words per minute for grades 6-8.

Learning to construct verbs in Navajo and Quechua.

PubMed

Courtney, Ellen H; Saville-Troike, Muriel

2002-08-01

Navajo and Quechua, both languages with a highly complex morphology, provide intriguing insights into the acquisition of inflectional systems. The development of the verb in the two languages is especially interesting, since the morphology encodes diverse grammatical notions, with the complex verb often constituting the entire sentence. While the verb complex in Navajo is stem-final, with prefixes appended to the stem in a rigid sequence, Quechua verbs are assembled entirely through suffixation, with some variation in affix ordering. We explore issues relevant to the acquisition of verb morphology by children learning Navajo and Quechua as their first language. Our study presents naturalistic speech samples produced by five Navajo children, aged 1;1 to 4;7, and by four Quechua-speaking children, aged 2;0 to 3;5. We centre our analysis on the role of phonological criteria in segmentation of verb stems and affixes, the production of amalgams, the problem of homophony, and the significance of distributional learning and semantic criteria in the development of the verb template. The phenomena observed in our data are discussed in light of several proposals, especially those of Peters (1983, 1995), Pinker (1984), Slobin (1985), and Hyams (1986, 1994).

Science teachers' learning in a context of collaborative professional development

NASA Astrophysics Data System (ADS)

Faraji, Hassan

The purpose of this qualitative study was to investigate and evaluate science teachers' learning in a context of Collaborative Professional Development, specifically in the Collaborative Program, which is under the Texas Regional Collaboratives for Excellence in Science Teaching (TRC). A non-positivistic, naturalistic approach was used to study five middle school science teachers from a large school district in South Central Texas that were involved in this program. The entire data collection process was conducted from June 1998 through September 2000. I distributed a 15-question survey to the five respondents prior to conducting in-depth interviews with them, between July 2000 and December 2000. I made five class observations, one per teacher, from March 2000 to May 2000. I started to analyze my qualitative data in June 2002. I returned to the write-up process in December 2002, and have continued to the conclusion. This study is intended to serve as a source of information and insight for many different people and groups, including current and prospective science teachers and administrators who are planning to participate in the TRC Results of the study showed eight findings: (1) An overwhelming preference for the kind of professional development respondents received in the Collaborative Program, over the kinds of workshops and seminars they has attended in the past; (2) Collaborative-style learning is initially intimidating and difficult for teachers, but ultimately valuable; (3) The teachers apply what they have learned in the Collaborative Program to their own classrooms; (4) Hands-on learning is something that both teachers and their students enjoy; (5) The Collaborative Program has invigorated their sense of themselves as teachers, and as science teachers specifically, and has built their confidence in teaching science; (6) The incentives for teacher participation in the Collaborative Program seem to be intellectual ones just as much as material ones; (7) The presence of multi-grade levels of teachers in the Collaborative Program creates a bi-directional learning environment; and, (8) The only consistent concerns, suggestions, and compliments about the Collaborative Program focus on the application of technology.

Understanding the Carbon Cycle : A Jigsaw Approach

NASA Astrophysics Data System (ADS)

Hastings, D. W.

2006-12-01

A thorough understanding of the carbon cycle is fundamental to understanding the eventual fate of CO2. To achieve this, students must understand individual processes, such as photosynthesis and respiration, as well as an integrated knowledge of how these processes relate to each other. In this "jigsaw" exercise, each student is assigned one five fundamental geochemical processes in the short- term carbon cycle to research and fully understand. In class, students first meet with others who have studied the same process to strengthen and deepen their understanding of this process. They then form teams of five students and explain to other students their particular process. In exchange, other students explain the other aspects of the carbon cycle. At the end of class all students will know about each of the five processes, and thus develop an integrated understanding of the entire carbon cycle. This approach is an efficient method for students to learn the material. As in a jigsaw puzzle, each student's part is essential for the full understanding of the carbon cycle. Since each student's part is essential, then each student is essential, which is what makes this strategy effective The jigsaw approach encourages listening, engagement, and collaboration by giving each member of the group an essential part to play in the academic activity.

Evaluation of an Intelligent Tutoring System in Pathology: Effects of External Representation on Performance Gains, Metacognition, and Acceptance

PubMed Central

Crowley, Rebecca S.; Legowski, Elizabeth; Medvedeva, Olga; Tseytlin, Eugene; Roh, Ellen; Jukic, Drazen

2007-01-01

Objective Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task performance. Identify key features of student-tutor interaction contributing to learning gains. Design Prospective, between-subjects study, controlled for participant level of training. Resident physicians in two academic pathology programs spent four hours using one of two interfaces which differed mainly in external problem representation. The case-focused representation provided an open-learning environment in which students were free to explore evidence-hypothesis relationships within a case, but could not visualize the entire diagnostic space. The knowledge-focused representation provided an interactive representation of the entire diagnostic space, which more tightly constrained student actions. Measurements Metrics included results of pretest, post-test and retention-test for multiple choice and case diagnosis tests, ratios of performance to student reported certainty, results of participant survey, learning curves, and interaction behaviors during tutoring. Results Students had highly significant learning gains after one tutoring session. Learning was retained at one week. There were no differences between the two interfaces in learning gains on post-test or retention test. Only students in the knowledge-focused interface exhibited significant metacognitive gains from pretest to post-test and pretest to retention test. Students rated the knowledge-focused interface significantly higher than the case-focused interface. Conclusions Cognitive tutoring is associated with improved diagnostic performance in a complex medical domain. The effect is retained at one-week post-training. Knowledge-focused external problem representation shows an advantage over case-focused representation for metacognitive effects and user acceptance. PMID:17213494

Evaluation of an intelligent tutoring system in pathology: effects of external representation on performance gains, metacognition, and acceptance.

PubMed

Crowley, Rebecca S; Legowski, Elizabeth; Medvedeva, Olga; Tseytlin, Eugene; Roh, Ellen; Jukic, Drazen

2007-01-01

Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task performance. Identify key features of student-tutor interaction contributing to learning gains. Prospective, between-subjects study, controlled for participant level of training. Resident physicians in two academic pathology programs spent four hours using one of two interfaces which differed mainly in external problem representation. The case-focused representation provided an open-learning environment in which students were free to explore evidence-hypothesis relationships within a case, but could not visualize the entire diagnostic space. The knowledge-focused representation provided an interactive representation of the entire diagnostic space, which more tightly constrained student actions. Metrics included results of pretest, post-test and retention-test for multiple choice and case diagnosis tests, ratios of performance to student reported certainty, results of participant survey, learning curves, and interaction behaviors during tutoring. Students had highly significant learning gains after one tutoring session. Learning was retained at one week. There were no differences between the two interfaces in learning gains on post-test or retention test. Only students in the knowledge-focused interface exhibited significant metacognitive gains from pretest to post-test and pretest to retention test. Students rated the knowledge-focused interface significantly higher than the case-focused interface. Cognitive tutoring is associated with improved diagnostic performance in a complex medical domain. The effect is retained at one-week post-training. Knowledge-focused external problem representation shows an advantage over case-focused representation for metacognitive effects and user acceptance.

Avoidance of plants unsuitable for the symbiotic fungus in leaf-cutting ants: Learning can take place entirely at the colony dump.

PubMed

Arenas, Andrés; Roces, Flavio

2017-01-01

Plants initially accepted by foraging leaf-cutting ants are later avoided if they prove unsuitable for their symbiotic fungus. Plant avoidance is mediated by the waste produced in the fungus garden soon after the incorporation of the unsuitable leaves, as foragers can learn plant odors and cues from the damaged fungus that are both present in the recently produced waste particles. We asked whether avoidance learning of plants unsuitable for the symbiotic fungus can take place entirely at the colony dump. In order to investigate whether cues available in the waste chamber induce plant avoidance in naïve subcolonies, we exchanged the waste produced by subcolonies fed either fungicide-treated privet leaves or untreated leaves and measured the acceptance of untreated privet leaves before and after the exchange of waste. Second, we evaluated whether foragers could perceive the avoidance cues directly at the dump by quantifying the visits of labeled foragers to the waste chamber. Finally, we asked whether foragers learn to specifically avoid untreated leaves of a plant after a confinement over 3 hours in the dump of subcolonies that were previously fed fungicide-treated leaves of that species. After the exchange of the waste chambers, workers from subcolonies that had access to waste from fungicide-treated privet leaves learned to avoid that plant. One-third of the labeled foragers visited the dump. Furthermore, naïve foragers learned to avoid a specific, previously unsuitable plant if exposed solely to cues of the dump during confinement. We suggest that cues at the dump enable foragers to predict the unsuitable effects of plants even if they had never been experienced in the fungus garden.

Avoidance of plants unsuitable for the symbiotic fungus in leaf-cutting ants: Learning can take place entirely at the colony dump

PubMed Central

Roces, Flavio

2017-01-01

Plants initially accepted by foraging leaf-cutting ants are later avoided if they prove unsuitable for their symbiotic fungus. Plant avoidance is mediated by the waste produced in the fungus garden soon after the incorporation of the unsuitable leaves, as foragers can learn plant odors and cues from the damaged fungus that are both present in the recently produced waste particles. We asked whether avoidance learning of plants unsuitable for the symbiotic fungus can take place entirely at the colony dump. In order to investigate whether cues available in the waste chamber induce plant avoidance in naïve subcolonies, we exchanged the waste produced by subcolonies fed either fungicide-treated privet leaves or untreated leaves and measured the acceptance of untreated privet leaves before and after the exchange of waste. Second, we evaluated whether foragers could perceive the avoidance cues directly at the dump by quantifying the visits of labeled foragers to the waste chamber. Finally, we asked whether foragers learn to specifically avoid untreated leaves of a plant after a confinement over 3 hours in the dump of subcolonies that were previously fed fungicide-treated leaves of that species. After the exchange of the waste chambers, workers from subcolonies that had access to waste from fungicide-treated privet leaves learned to avoid that plant. One-third of the labeled foragers visited the dump. Furthermore, naïve foragers learned to avoid a specific, previously unsuitable plant if exposed solely to cues of the dump during confinement. We suggest that cues at the dump enable foragers to predict the unsuitable effects of plants even if they had never been experienced in the fungus garden. PMID:28273083

The effect of an enriched learning community on success and retention in chemistry courses

NASA Astrophysics Data System (ADS)

Willoughby, Lois Jane

Since the mid-1990s, the United States has experienced a shortage of scientists and engineers, declining numbers of students choosing these fields as majors, and low student success and retention rates in these disciplines. Learning theorists, educational researchers, and practitioners believe that learning environments can be created so that an improvement in the numbers of students who complete courses successfully could be attained (Astin, 1993; Magolda & Terenzini, n.d.; O'Banion, 1997). Learning communities do this by providing high expectations, academic and social support, feedback during the entire educational process, and involvement with faculty, other students, and the institution (Ketcheson & Levine, 1999). A program evaluation of an existing learning community of science, mathematics, and engineering majors was conducted to determine the extent to which the program met its goals and was effective from faculty and student perspectives. The program provided laptop computers, peer tutors, supplemental instruction with and without computer software, small class size, opportunities for contact with specialists in selected career fields, a resource library, and Peer-Led Team Learning. During the two years the project has existed, success, retention, and next-course continuation rates were higher than in traditional courses. Faculty and student interviews indicated there were many affective accomplishments as well. Success and retention rates for one learning community class ( n = 27) and one traditional class (n = 61) in chemistry were collected and compared using Pearson chi square procedures ( p = .05). No statistically significant difference was found between the two groups. Data from an open-ended student survey about how specific elements of their course experiences contributed to success and persistence were analyzed by coding the responses and comparing the learning community and traditional classes. Substantial differences were found in their perceptions about the lecture, the lab, other supports used for the course, contact with other students, helping them reach their potential, and their recommendation about the course to others. Because of the limitation of small sample size, these differences are reported in descriptive terms.

The effects of anandamide and oleamide on cognition depend on diurnal variations.

PubMed

Rueda-Orozco, Pavel E; Montes-Rodriguez, Corinne J; Ruiz-Contreras, Alejandra E; Mendez-Diaz, Monica; Prospero-Garcia, Oscar

2017-10-01

Cannabinergic receptor 1 (CB1r) is highly expressed in almost the entire brain; hence, its activation affects diverse functions, including cognitive processes such as learning and memory. On the other hand, it has been demonstrated that CB1r expression fluctuates along the light-dark cycle. In this context, the objective of this work was to characterize the cannabinergic influence over cognitive processes and its relationship with the light-dark cycle. To this aim we studied the effects of two endogenous cannabinoids, anandamide (AEA) and oleamide (ODA), on the consolidation of memory and event-related potentials (ERPs) depending on the light-dark cycle. Our results indicate that AEA and ODA impair the consolidation of spatial and emotional memories and reduce the amplitude of several components of the ERP complex, depending on the phase of the light-dark cycle. This study further supports the notion that endocannabinoids participate in the regulation of cognitive processes with strong influence of environmental variables such as the light-dark cycle. Copyright © 2017 Elsevier B.V. All rights reserved.

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

Mechalakos, J.

The process of converting to an electronic chart for radiation therapy can be daunting. It requires a dedicated committee to first research and choose appropriate software, to review the entire documentation policy and flow of the clinic, to convert this system to electronic form or if necessary, redesign the system to more easily conform to the electronic process. Those making the conversion and those who already use electronic charting would benefit from the shared experience of those who have been through the process in the past. Therefore TG262 was convened to provide guidance on electronic charting for external beam radiationmore » therapy and brachytherapy. This course will present the results of an internal survey of task group members on EMR practices in External Beam Radiation Therapy as well as discuss important issues in EMR development and structure for both EBRT and brachytherapy. Learning Objectives: Be familiarized with common practices and pitfalls in development and maintenance of an electronic chart in Radiation Oncology Be familiarized with important issues related to electronic charting in External Beam Radiation Therapy Be familiarized with important issues related to electronic charting in Brachytherapy.« less

National preceptor development program (PDP) prototype. The third of a 3-part series.

PubMed

Cox, Craig D; Mulherin, Katrina; Walter, Sheila

2018-03-01

Preceptor development is critical to successful delivery of experiential learning. Although many preceptor development programs exist, a more individualized approach to training is needed. To accomplish this a national preceptor development program should be considered based on the continuing professional development model. A detailed prototype for this program has been described. In this final installment of the series, the twelve evidence-based recommendations from the first installment were utilized to construct a prototype for a preceptor development program. Over a three-month period, investigators experimented with different designs and models before approving the final prototype. The prototype took the form of an electronic learning platform. Several categories were integral to the design and included sections entitled preceptor spotlight, mentorship, global outreach, choose your own adventure, continuing professional development, feedback, virtual online community, highlights/advertisements, what's new, competency assessment, and frequently asked questions. A graphic was developed to depict the process by which a preceptor would navigate through the web-based learning platform. The authors purposefully maintained a creative and unlimited vision for preceptor development. This conceptual model is intended to spark discussion and augment, refine, or develop entirely innovative ideas to meet preceptor needs. Development of a preceptor development platform could foster improved competency performance, enhanced interest in learning, and promote continuing professional development. With a greater focus on experiential education in pharmacy, the need for a national preceptor development resource is only expected to increase. Copyright © 2017 Elsevier Inc. All rights reserved.

Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training.

PubMed

Robineau, F; Rieger, S W; Mermoud, C; Pichon, S; Koush, Y; Van De Ville, D; Vuilleumier, P; Scharnowski, F

2014-10-15

Recent advances in neurofeedback based on real-time functional magnetic resonance imaging (fMRI) allow for learning to control spatially localized brain activity in the range of millimeters across the entire brain. Real-time fMRI neurofeedback studies have demonstrated the feasibility of self-regulating activation in specific areas that are involved in a variety of functions, such as perception, motor control, language, and emotional processing. In most of these previous studies, participants trained to control activity within one region of interest (ROI). In the present study, we extended the neurofeedback approach by now training healthy participants to control the interhemispheric balance between their left and right visual cortices. This was accomplished by providing feedback based on the difference in activity between a target visual ROI and the corresponding homologue region in the opposite hemisphere. Eight out of 14 participants learned to control the differential feedback signal over the course of 3 neurofeedback training sessions spread over 3 days, i.e., they produced consistent increases in the visual target ROI relative to the opposite visual cortex. Those who learned to control the differential feedback signal were subsequently also able to exert that control in the absence of neurofeedback. Such learning to voluntarily control the balance between cortical areas of the two hemispheres might offer promising rehabilitation approaches for neurological or psychiatric conditions associated with pathological asymmetries in brain activity patterns, such as hemispatial neglect, dyslexia, or mood disorders. Copyright © 2014 Elsevier Inc. All rights reserved.

Flood Gives Birth to Dream School.

ERIC Educational Resources Information Center

Freeman, Laurie

1996-01-01

Forced by flooding of the Mississippi River to relocate their entire town, residents of tiny Valmeyer, Illinois, built an upgraded, improved school. The new facility serves elementary, middle, and high school students in three separate wings and is equipped to participate in distance learning. (MLF)

The EDP-5E

ERIC Educational Resources Information Center

Lottero-Perdue, Pamela; Bolotin, Sonja; Benyameen, Ruth; Brock, Erin; Metzger, Ellen

2015-01-01

Many preservice and practicing elementary teachers are familiar with the 5E learning cycle. This cycle provides a relatively simple, alliteratively memorable framework for teaching science in which lessons (or even entire units of instruction) consist of five distinct phases: Engagement, Exploration, Explanation, Elaboration/Extension (hereafter,…

Commodity durability, trader specialization, and market performance

PubMed Central

Dickhaut, John; Lin, Shengle; Porter, David; Smith, Vernon

2012-01-01

The original double auction studies of supply and demand markets established their strong efficiency and equilibrium convergence behavior using economically unsophisticated and untrained subjects. The results were unexpected because all individual costs and values were private and dependent entirely on the market trading process to aggregate the dispersed information into socially desirable outcomes. The exchange environment, however, corresponded to that of perishable, and not re-traded goods in which participants were specialized as buyers or sellers. We report experiments in repeated single-period markets where tradability, and buyer-seller role specialization, is varied by imposing or relaxing a restriction on re-trade within each period. In re-trade markets scope is given to speculative motives unavailable where goods perish on purchase. We observe greatly increased trade volume and decreased efficiency but subject experience increases efficiency. Observed speculation slows convergence by impeding the process whereby individuals learn from the market whether their private circumstances lead them to specialize as buyers or sellers. PMID:22307595

WE-G-209-03: PET

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

Kemp, B.

2016-06-15

Digital radiography, CT, PET, and MR are complicated imaging modalities which are composed of many hardware and software components. These components work together in a highly coordinated chain of events with the intent to produce high quality images. Acquisition, processing and reconstruction of data must occur in a precise way for optimum image quality to be achieved. Any error or unexpected event in the entire process can produce unwanted pixel intensities in the final images which may contribute to visible image artifacts. The diagnostic imaging physicist is uniquely qualified to investigate and contribute to resolution of image artifacts. This coursemore » will teach the participant to identify common artifacts found clinically in digital radiography, CT, PET, and MR, to determine the causes of artifacts, and to make recommendations for how to resolve artifacts. Learning Objectives: Identify common artifacts found clinically in digital radiography, CT, PET and MR. Determine causes of various clinical artifacts from digital radiography, CT, PET and MR. Describe how to resolve various clinical artifacts from digital radiography, CT, PET and MR.« less

To address surface reaction network complexity using scaling relations machine learning and DFT calculations

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

Ulissi, Zachary W.; Medford, Andrew J.; Bligaard, Thomas

Surface reaction networks involving hydrocarbons exhibit enormous complexity with thousands of species and reactions for all but the very simplest of chemistries. We present a framework for optimization under uncertainty for heterogeneous catalysis reaction networks using surrogate models that are trained on the fly. The surrogate model is constructed by teaching a Gaussian process adsorption energies based on group additivity fingerprints, combined with transition-state scaling relations and a simple classifier for determining the rate-limiting step. The surrogate model is iteratively used to predict the most important reaction step to be calculated explicitly with computationally demanding electronic structure theory. Applying thesemore » methods to the reaction of syngas on rhodium(111), we identify the most likely reaction mechanism. Lastly, propagating uncertainty throughout this process yields the likelihood that the final mechanism is complete given measurements on only a subset of the entire network and uncertainty in the underlying density functional theory calculations.« less

To address surface reaction network complexity using scaling relations machine learning and DFT calculations

DOE PAGES

Ulissi, Zachary W.; Medford, Andrew J.; Bligaard, Thomas; ...

2017-03-06

Surface reaction networks involving hydrocarbons exhibit enormous complexity with thousands of species and reactions for all but the very simplest of chemistries. We present a framework for optimization under uncertainty for heterogeneous catalysis reaction networks using surrogate models that are trained on the fly. The surrogate model is constructed by teaching a Gaussian process adsorption energies based on group additivity fingerprints, combined with transition-state scaling relations and a simple classifier for determining the rate-limiting step. The surrogate model is iteratively used to predict the most important reaction step to be calculated explicitly with computationally demanding electronic structure theory. Applying thesemore » methods to the reaction of syngas on rhodium(111), we identify the most likely reaction mechanism. Lastly, propagating uncertainty throughout this process yields the likelihood that the final mechanism is complete given measurements on only a subset of the entire network and uncertainty in the underlying density functional theory calculations.« less

WE-G-209-02: CT

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

Kofler, J.

2016-06-15

Digital radiography, CT, PET, and MR are complicated imaging modalities which are composed of many hardware and software components. These components work together in a highly coordinated chain of events with the intent to produce high quality images. Acquisition, processing and reconstruction of data must occur in a precise way for optimum image quality to be achieved. Any error or unexpected event in the entire process can produce unwanted pixel intensities in the final images which may contribute to visible image artifacts. The diagnostic imaging physicist is uniquely qualified to investigate and contribute to resolution of image artifacts. This coursemore » will teach the participant to identify common artifacts found clinically in digital radiography, CT, PET, and MR, to determine the causes of artifacts, and to make recommendations for how to resolve artifacts. Learning Objectives: Identify common artifacts found clinically in digital radiography, CT, PET and MR. Determine causes of various clinical artifacts from digital radiography, CT, PET and MR. Describe how to resolve various clinical artifacts from digital radiography, CT, PET and MR.« less

WE-G-209-04: MRI

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

Pooley, R.

2016-06-15

Digital radiography, CT, PET, and MR are complicated imaging modalities which are composed of many hardware and software components. These components work together in a highly coordinated chain of events with the intent to produce high quality images. Acquisition, processing and reconstruction of data must occur in a precise way for optimum image quality to be achieved. Any error or unexpected event in the entire process can produce unwanted pixel intensities in the final images which may contribute to visible image artifacts. The diagnostic imaging physicist is uniquely qualified to investigate and contribute to resolution of image artifacts. This coursemore » will teach the participant to identify common artifacts found clinically in digital radiography, CT, PET, and MR, to determine the causes of artifacts, and to make recommendations for how to resolve artifacts. Learning Objectives: Identify common artifacts found clinically in digital radiography, CT, PET and MR. Determine causes of various clinical artifacts from digital radiography, CT, PET and MR. Describe how to resolve various clinical artifacts from digital radiography, CT, PET and MR.« less

SLAM algorithm applied to robotics assistance for navigation in unknown environments.

PubMed

Cheein, Fernando A Auat; Lopez, Natalia; Soria, Carlos M; di Sciascio, Fernando A; Pereira, Fernando Lobo; Carelli, Ricardo

2010-02-17

The combination of robotic tools with assistance technology determines a slightly explored area of applications and advantages for disability or elder people in their daily tasks. Autonomous motorized wheelchair navigation inside an environment, behaviour based control of orthopaedic arms or user's preference learning from a friendly interface are some examples of this new field. In this paper, a Simultaneous Localization and Mapping (SLAM) algorithm is implemented to allow the environmental learning by a mobile robot while its navigation is governed by electromyographic signals. The entire system is part autonomous and part user-decision dependent (semi-autonomous). The environmental learning executed by the SLAM algorithm and the low level behaviour-based reactions of the mobile robot are robotic autonomous tasks, whereas the mobile robot navigation inside an environment is commanded by a Muscle-Computer Interface (MCI). In this paper, a sequential Extended Kalman Filter (EKF) feature-based SLAM algorithm is implemented. The features correspond to lines and corners -concave and convex- of the environment. From the SLAM architecture, a global metric map of the environment is derived. The electromyographic signals that command the robot's movements can be adapted to the patient's disabilities. For mobile robot navigation purposes, five commands were obtained from the MCI: turn to the left, turn to the right, stop, start and exit. A kinematic controller to control the mobile robot was implemented. A low level behavior strategy was also implemented to avoid robot's collisions with the environment and moving agents. The entire system was tested in a population of seven volunteers: three elder, two below-elbow amputees and two young normally limbed patients. The experiments were performed within a closed low dynamic environment. Subjects took an average time of 35 minutes to navigate the environment and to learn how to use the MCI. The SLAM results have shown a consistent reconstruction of the environment. The obtained map was stored inside the Muscle-Computer Interface. The integration of a highly demanding processing algorithm (SLAM) with a MCI and the communication between both in real time have shown to be consistent and successful. The metric map generated by the mobile robot would allow possible future autonomous navigation without direct control of the user, whose function could be relegated to choose robot destinations. Also, the mobile robot shares the same kinematic model of a motorized wheelchair. This advantage can be exploited for wheelchair autonomous navigation.

Summary of vulnerability related technologies based on machine learning

NASA Astrophysics Data System (ADS)

Zhao, Lei; Chen, Zhihao; Jia, Qiong

2018-04-01

As the scale of information system increases by an order of magnitude, the complexity of system software is getting higher. The vulnerability interaction from design, development and deployment to implementation stages greatly increases the risk of the entire information system being attacked successfully. Considering the limitations and lags of the existing mainstream security vulnerability detection techniques, this paper summarizes the development and current status of related technologies based on the machine learning methods applied to deal with massive and irregular data, and handling security vulnerabilities.

Visuocortical Changes During Delay and Trace Aversive Conditioning: Evidence From Steady-State Visual Evoked Potentials

PubMed Central

Miskovic, Vladimir; Keil, Andreas

2015-01-01

The visual system is biased towards sensory cues that have been associated with danger or harm through temporal co-occurrence. An outstanding question about conditioning-induced changes in visuocortical processing is the extent to which they are driven primarily by top-down factors such as expectancy or by low-level factors such as the temporal proximity between conditioned stimuli and aversive outcomes. Here, we examined this question using two different differential aversive conditioning experiments: participants learned to associate a particular grating stimulus with an aversive noise that was presented either in close temporal proximity (delay conditioning experiment) or after a prolonged stimulus-free interval (trace conditioning experiment). In both experiments we probed cue-related cortical responses by recording steady-state visual evoked potentials (ssVEPs). Although behavioral ratings indicated that all participants successfully learned to discriminate between the grating patterns that predicted the presence versus absence of the aversive noise, selective amplification of population-level responses in visual cortex for the conditioned danger signal was observed only when the grating and the noise were temporally contiguous. Our findings are in line with notions purporting that changes in the electrocortical response of visual neurons induced by aversive conditioning are a product of Hebbian associations among sensory cell assemblies rather than being driven entirely by expectancy-based, declarative processes. PMID:23398582

Screen-Capture Instructional Technology: A Cognitive Tool for Blended Learning

ERIC Educational Resources Information Center

Smith, Jeffrey George

2012-01-01

Little empirical investigation has been conducted on high school students and teachers using online instructional multimedia developed entirely from the classroom teacher's traditional live-lecture format. This study investigated academic achievement, engagement, preference, and curriculum development using screen-capture instructional…

Contacts de langues et representations (Language Contacts and Representations).

ERIC Educational Resources Information Center

Matthey, Marinette, Ed.

1997-01-01

Essays on language contact and the image of language, entirely in French, include: "Representations 'du' contexte et representations 'en' contexte? Eleves et enseignants face a l'apprentissage de la langue" ("Representations 'of' Context or Representations 'in' Context? Students and Teachers Facing Language Learning" (Laurent…

Combining Crowd and Expert Labels using Decision Theoretic Active Learning

DTIC Science & Technology

2015-10-11

meta-data such as titles, author information and keywords. Motivating Application: Biomedical Systematic Reviews Evidence - based medicine (EBM) aims to...individuals trained in evidence - based medicine ; usually MDs) reading the entire set of citations retrieved via database search to identify the small

Phase transitions between lower and higher level management learning in times of crisis: an experimental study based on synergetics.

PubMed

Liening, Andreas; Strunk, Guido; Mittelstadt, Ewald

2013-10-01

Much has been written about the differences between single- and double-loop learning, or more general between lower level and higher level learning. Especially in times of a fundamental crisis, a transition between lower and higher level learning would be an appropriate reaction to a challenge coming entirely out of the dark. However, so far there is no quantitative method to monitor such a transition. Therefore we introduce theory and methods of synergetics and present results from an experimental study based on the simulation of a crisis within a business simulation game. Hypothesized critical fluctuations - as a marker for so-called phase transitions - have been assessed with permutation entropy. Results show evidence for a phase transition during the crisis, which can be interpreted as a transition between lower and higher level learning.

Sustainability of healthcare improvement: what can we learn from learning theory?

PubMed Central

2012-01-01

Background Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Methods Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Results Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. Conclusions The improved understanding of the clinical system represented a change in mental models of employees that influenced how the organization changed its performance. By applying the framework of organizational learning, we learned that changes originating from a new mental model represent double-loop learning. In double-loop learning, deeper system properties are changed, and consequently changes are more likely to be sustained. PMID:22863199

Sustainability of healthcare improvement: what can we learn from learning theory?

PubMed

Hovlid, Einar; Bukve, Oddbjørn; Haug, Kjell; Aslaksen, Aslak Bjarne; von Plessen, Christian

2012-08-03

Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. The improved understanding of the clinical system represented a change in mental models of employees that influenced how the organization changed its performance. By applying the framework of organizational learning, we learned that changes originating from a new mental model represent double-loop learning. In double-loop learning, deeper system properties are changed, and consequently changes are more likely to be sustained.

Practical management of chemicals and hazardous wastes: An environmental and safety professional`s guide

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

Kuhre, W.L.

This book was written to help the environmental and safety student learn about the field and to help the working professional manage hazardous material and waste issues. For example, one issue that will impact virtually all of these people mentioned is the upcoming environmental standardization movement. The International Standards Organization (ISO) is in the process of adding comprehensive environmental and hazardous waste management systems to their future certification requirements. Most industries worldwide will be working hard to achieve this new level of environmental management. This book presents many of the systems needed to receive certification. In order to properly managemore » hazardous waste, it is important to consider the entire life cycle, including when the waste was a useful chemical or hazardous material. Waste minimization is built upon this concept. Understanding the entire life cycle is also important in terms of liability, since many regulations hold generators responsible from cradle to grave. This book takes the life-cycle concept even further, in order to provide additional insight. The discussion starts with the conception of the chemical and traces its evolution into a waste and even past disposal. At this point the story continues into the afterlife, where responsibility still remains.« less

Less is more: Sampling chemical space with active learning

NASA Astrophysics Data System (ADS)

Smith, Justin S.; Nebgen, Ben; Lubbers, Nicholas; Isayev, Olexandr; Roitberg, Adrian E.

2018-06-01

The development of accurate and transferable machine learning (ML) potentials for predicting molecular energetics is a challenging task. The process of data generation to train such ML potentials is a task neither well understood nor researched in detail. In this work, we present a fully automated approach for the generation of datasets with the intent of training universal ML potentials. It is based on the concept of active learning (AL) via Query by Committee (QBC), which uses the disagreement between an ensemble of ML potentials to infer the reliability of the ensemble's prediction. QBC allows the presented AL algorithm to automatically sample regions of chemical space where the ML potential fails to accurately predict the potential energy. AL improves the overall fitness of ANAKIN-ME (ANI) deep learning potentials in rigorous test cases by mitigating human biases in deciding what new training data to use. AL also reduces the training set size to a fraction of the data required when using naive random sampling techniques. To provide validation of our AL approach, we develop the COmprehensive Machine-learning Potential (COMP6) benchmark (publicly available on GitHub) which contains a diverse set of organic molecules. Active learning-based ANI potentials outperform the original random sampled ANI-1 potential with only 10% of the data, while the final active learning-based model vastly outperforms ANI-1 on the COMP6 benchmark after training to only 25% of the data. Finally, we show that our proposed AL technique develops a universal ANI potential (ANI-1x) that provides accurate energy and force predictions on the entire COMP6 benchmark. This universal ML potential achieves a level of accuracy on par with the best ML potentials for single molecules or materials, while remaining applicable to the general class of organic molecules composed of the elements CHNO.

Accepted into Education City

ERIC Educational Resources Information Center

Asquith, Christina

2006-01-01

Qatar's Education City, perhaps the world's most diverse campus, is almost entirely unknown in the United States, but represents the next step in the globalization of American higher education--international franchising. Aided by technology such as online libraries, distance learning and streaming video, U.S. universities offer--and charge tuition…

SAFE: Stopping AIDS through Functional Education.

ERIC Educational Resources Information Center

Hylton, Judith

This functional curriculum is intended to teach people with developmental disabilities or other learning problems how to prevent infection with HIV/AIDS (Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome). The entire curriculum includes six video segments, four illustrated brochures, 28 slides and illustrations, as well as a guide…

Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning.

PubMed

Munsell, B C; Wu, G; Fridriksson, J; Thayer, K; Mofrad, N; Desisto, N; Shen, D; Bonilha, L

2017-09-09

Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiological mechanisms underlying this impairment are poorly understood but may indicate a structural disorganization of broadly distributed neuronal networks that support naming ability. Importantly, naming is frequently impaired in other neurological disorders and by contrasting the neuronal structures supporting naming in TLE with other diseases, it will become possible to elucidate the common systems supporting naming. We aimed to evaluate the neuronal networks that support naming in TLE by using a machine learning algorithm intended to predict naming performance in subjects with medication refractory TLE using only the structural brain connectome reconstructed from diffusion tensor imaging. A connectome-based prediction framework was developed using network properties from anatomically defined brain regions across the entire brain, which were used in a multi-task machine learning algorithm followed by support vector regression. Nodal eigenvector centrality, a measure of regional network integration, predicted approximately 60% of the variance in naming. The nodes with the highest regression weight were bilaterally distributed among perilimbic sub-networks involving mainly the medial and lateral temporal lobe regions. In the context of emerging evidence regarding the role of large structural networks that support language processing, our results suggest intact naming relies on the integration of sub-networks, as opposed to being dependent on isolated brain areas. In the case of TLE, these sub-networks may be disproportionately indicative naming processes that are dependent semantic integration from memory and lexical retrieval, as opposed to multi-modal perception or motor speech production. Copyright © 2017. Published by Elsevier Inc.

Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.

PubMed

Pan, Xiaoyong; Shen, Hong-Bin

2018-05-02

RNA-binding proteins (RBPs) take over 5∼10% of the eukaryotic proteome and play key roles in many biological processes, e.g. gene regulation. Experimental detection of RBP binding sites is still time-intensive and high-costly. Instead, computational prediction of the RBP binding sites using pattern learned from existing annotation knowledge is a fast approach. From the biological point of view, the local structure context derived from local sequences will be recognized by specific RBPs. However, in computational modeling using deep learning, to our best knowledge, only global representations of entire RNA sequences are employed. So far, the local sequence information is ignored in the deep model construction process. In this study, we present a computational method iDeepE to predict RNA-protein binding sites from RNA sequences by combining global and local convolutional neural networks (CNNs). For the global CNN, we pad the RNA sequences into the same length. For the local CNN, we split a RNA sequence into multiple overlapping fixed-length subsequences, where each subsequence is a signal channel of the whole sequence. Next, we train deep CNNs for multiple subsequences and the padded sequences to learn high-level features, respectively. Finally, the outputs from local and global CNNs are combined to improve the prediction. iDeepE demonstrates a better performance over state-of-the-art methods on two large-scale datasets derived from CLIP-seq. We also find that the local CNN run 1.8 times faster than the global CNN with comparable performance when using GPUs. Our results show that iDeepE has captured experimentally verified binding motifs. https://github.com/xypan1232/iDeepE. xypan172436@gmail.com or hbshen@sjtu.edu.cn. Supplementary data are available at Bioinformatics online.

New adaptive color quantization method based on self-organizing maps.

PubMed

Chang, Chip-Hong; Xu, Pengfei; Xiao, Rui; Srikanthan, Thambipillai

2005-01-01

Color quantization (CQ) is an image processing task popularly used to convert true color images to palletized images for limited color display devices. To minimize the contouring artifacts introduced by the reduction of colors, a new competitive learning (CL) based scheme called the frequency sensitive self-organizing maps (FS-SOMs) is proposed to optimize the color palette design for CQ. FS-SOM harmonically blends the neighborhood adaptation of the well-known self-organizing maps (SOMs) with the neuron dependent frequency sensitive learning model, the global butterfly permutation sequence for input randomization, and the reinitialization of dead neurons to harness effective utilization of neurons. The net effect is an improvement in adaptation, a well-ordered color palette, and the alleviation of underutilization problem, which is the main cause of visually perceivable artifacts of CQ. Extensive simulations have been performed to analyze and compare the learning behavior and performance of FS-SOM against other vector quantization (VQ) algorithms. The results show that the proposed FS-SOM outperforms classical CL, Linde, Buzo, and Gray (LBG), and SOM algorithms. More importantly, FS-SOM achieves its superiority in reconstruction quality and topological ordering with a much greater robustness against variations in network parameters than the current art SOM algorithm for CQ. A most significant bit (MSB) biased encoding scheme is also introduced to reduce the number of parallel processing units. By mapping the pixel values as sign-magnitude numbers and biasing the magnitudes according to their sign bits, eight lattice points in the color space are condensed into one common point density function. Consequently, the same processing element can be used to map several color clusters and the entire FS-SOM network can be substantially scaled down without severely scarifying the quality of the displayed image. The drawback of this encoding scheme is the additional storage overhead, which can be cut down by leveraging on existing encoder in an overall lossy compression scheme.

Experimenting with the virtual environment Moodle in Physics Education

NASA Astrophysics Data System (ADS)

Martins, Maria Ines; Dickman, Adriana

2008-03-01

The master's program in Physics Education of the Catholic University in the state of Minas Gerais, Brazil, includes the discipline ``Digital technologies in Physics education.'' The main goal of this discipline is to discuss the role of Information and Communication Technology (ICT) in the process of learning-teaching science. We introduce our students to several virtual platforms, both free and commercial, discussing their functionality and features. We encourage our students to get in touch with computer tools and resources by planning their own computer based course using the Moodle platform. We discuss different patterns of virtual environment courses, whose proposals are centered mainly in the students, or teacher-centered or even system-centered. The student is free to choose between only one topic and a year course to work with, since their interests vary from learning something more about a specific subject to a complete e-learning course covering the entire school year. (The courses are available online in the address sitesinf01.pucmg.br/moodle. Participation only requires filling out an application form.) After three editions of this discipline, we have several courses available. We realize that students tend to focus on traditional methods, always preserving their role as knowledge-givers. In conclusion, we can say that, in spite of exhaustive discussion about autonomy involved with ICTs abilities, most of the students used the new virtual medium to organize traditional teacher-centered courses.

Identifying Factors Related to Food Agency: Cooking Habits in the Spanish Adult Population-A Cross-Sectional Study.

PubMed

García-González, Ángela; Achón, María; Alonso-Aperte, Elena; Varela-Moreiras, Gregorio

2018-02-15

This study focuses on understanding factors that influence food agency in the Spanish population, specifically with regard to cooking habits, knowledge, and determinants and their possible relationship with body weight. A cross-sectional telephone survey was conducted. Individuals were asked about their cooking responsibilities, how they learned to cook, factors that affect their food choices, and their preferred cooking techniques. Anthropometric data were also recorded. Participants were randomly selected, and we finally had 2026 respondents aged ≥18 years (60% women, 40% men). A total of 90.5% of participants stated that they had cooking skills. Women were mainly responsible for cooking tasks ( p < 0.05) at all ages. A significantly higher proportion of people under 50 years self-reported that they were "able to cook" in comparison with groups over 50 years. Regardless of age, most participants learned to cook either by practice (43.3%) or from a family member (42.2%). Men tended to be more autodidactic, whereas women reported learning from family. No relation was found between weight status and the evaluated factors investigated. In conclusion, women bear the responsibility for the entire cooking process in families, indicating a gender gap in the involvement of men in cooking responsibilities and competence. More research is needed to assess the influence of cooking knowledge on obesity prevention.

Enhancing Astronomy Major Learning Through Group Research Projects

NASA Astrophysics Data System (ADS)

McGraw, Allison M.; Hardegree-Ullman, K.; Turner, J.; Shirley, Y. L.; Walker-Lafollette, A.; Scott, A.; Guvenen, B.; Raphael, B.; Sanford, B.; Smart, B.; Nguyen, C.; Jones, C.; Smith, C.; Cates, I.; Romine, J.; Cook, K.; Pearson, K.; Biddle, L.; Small, L.; Donnels, M.; Nieberding, M.; Kwon, M.; Thompson, R.; De La Rosa, R.; Hofmann, R.; Tombleson, R.; Smith, T.; Towner, A. P.; Wallace, S.

2013-01-01

The University of Arizona Astronomy Club has been using group research projects to enhance the learning experience of undergraduates in astronomy and related fields. Students work on two projects that employ a peer-mentoring system so they can learn crucial skills and concepts necessary in research environments. Students work on a transiting exoplanet project using the 1.55-meter Kuiper Telescope on Mt. Bigelow in Southern Arizona to collect near-UV and optical wavelength data. The goal of the project is to refine planetary parameters and to attempt to detect exoplanet magnetic fields by searching for near-UV light curve asymmetries. The other project is a survey that utilizes the 12-meter Arizona Radio Observatory on Kitt Peak to search for the spectroscopic signature of infall in nearby starless cores. These are unique projects because students are involved throughout the entire research process, including writing proposals for telescope time, observing at the telescopes, data reduction and analysis, writing papers for publication in journals, and presenting research at scientific conferences. Exoplanet project members are able to receive independent study credit for participating in the research, which helps keep the project on track. Both projects allow students to work on professional research and prepare for several astronomy courses early in their academic career. They also encourage teamwork and mentor-style peer teaching, and can help students identify their own research projects as they expand their knowledge.

Identifying Factors Related to Food Agency: Cooking Habits in the Spanish Adult Population—A Cross-Sectional Study

PubMed Central

García-González, Ángela; Varela-Moreiras, Gregorio

2018-01-01

This study focuses on understanding factors that influence food agency in the Spanish population, specifically with regard to cooking habits, knowledge, and determinants and their possible relationship with body weight. A cross-sectional telephone survey was conducted. Individuals were asked about their cooking responsibilities, how they learned to cook, factors that affect their food choices, and their preferred cooking techniques. Anthropometric data were also recorded. Participants were randomly selected, and we finally had 2026 respondents aged ≥18 years (60% women, 40% men). A total of 90.5% of participants stated that they had cooking skills. Women were mainly responsible for cooking tasks (p < 0.05) at all ages. A significantly higher proportion of people under 50 years self-reported that they were “able to cook” in comparison with groups over 50 years. Regardless of age, most participants learned to cook either by practice (43.3%) or from a family member (42.2%). Men tended to be more autodidactic, whereas women reported learning from family. No relation was found between weight status and the evaluated factors investigated. In conclusion, women bear the responsibility for the entire cooking process in families, indicating a gender gap in the involvement of men in cooking responsibilities and competence. More research is needed to assess the influence of cooking knowledge on obesity prevention. PMID:29462887

Epileptic seizure detection in EEG signal using machine learning techniques.

PubMed

Jaiswal, Abeg Kumar; Banka, Haider

2018-03-01

Epilepsy is a well-known nervous system disorder characterized by seizures. Electroencephalograms (EEGs), which capture brain neural activity, can detect epilepsy. Traditional methods for analyzing an EEG signal for epileptic seizure detection are time-consuming. Recently, several automated seizure detection frameworks using machine learning technique have been proposed to replace these traditional methods. The two basic steps involved in machine learning are feature extraction and classification. Feature extraction reduces the input pattern space by keeping informative features and the classifier assigns the appropriate class label. In this paper, we propose two effective approaches involving subpattern based PCA (SpPCA) and cross-subpattern correlation-based PCA (SubXPCA) with Support Vector Machine (SVM) for automated seizure detection in EEG signals. Feature extraction was performed using SpPCA and SubXPCA. Both techniques explore the subpattern correlation of EEG signals, which helps in decision-making process. SVM is used for classification of seizure and non-seizure EEG signals. The SVM was trained with radial basis kernel. All the experiments have been carried out on the benchmark epilepsy EEG dataset. The entire dataset consists of 500 EEG signals recorded under different scenarios. Seven different experimental cases for classification have been conducted. The classification accuracy was evaluated using tenfold cross validation. The classification results of the proposed approaches have been compared with the results of some of existing techniques proposed in the literature to establish the claim.

Seemingly irrational driving behavior model: The effect of habit strength and anticipated affective reactions.

PubMed

Chung, Yi-Shih

2015-09-01

An increasing amount of evidence suggests that aberrant driving behaviors are not entirely rational. On the basis of the dual-process theory, this study postulates that drivers may learn to perform irrational aberrant driving behaviors, and these behaviors could be derived either from a deliberate or an intuitive decision-making approach. Accordingly, a seemingly irrational driving behavior model is proposed; in this model, the theory of planned behavior (TPB) was adopted to represent the deliberate decision-making mechanism, and habit strength was incorporated to reflect the intuitive decision process. A multiple trivariate mediation structure was designed to reflect the process through which driving behaviors are learned. Anticipated affective reactions (AARs) were further included to examine the effect of affect on aberrant driving behaviors. Considering the example of speeding behaviors, this study developed scales and conducted a two-wave survey of students in two departments at a university in Northern Taiwan. The analysis results show that habit strength consists of multiple aspects, and frequency of past behavior cannot be a complete repository for accumulating habit strength. Habit strength appeared to be a crucial mediator between intention antecedents (e.g., attitude) and the intention itself. Including habit strength in the TPB model enhanced the explained variance of speeding intention by 26.7%. In addition, AARs were different from attitudes; particularly, young drivers tended to perform speeding behaviors to reduce negative feelings such as regret. The proposed model provides an effective alternative approach for investigating aberrant driving behaviors; corresponding countermeasures are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

Reinventing the Wheel: One Program's Approach to Redesign of Didactic Courses.

PubMed

Hudak, Nicholas M; Scott, Victoria; Spear, Sherrie B; Hills, Karen J

2015-12-01

Curriculum and course redesign are expected and intentional efforts in health professions education. For physician assistant (PA) education, ongoing program self-assessment is a required accreditation standard and may guide deliberate changes within curriculum. The purpose of this article is to describe one PA program’s approach to the redesign of 4 courses into 3 courses that span the entire didactic phase. Significant lessons learned include the importance of planning ahead, identifying key players, documenting the process as part of ongoing self-assessment, competency mapping, and being prepared to make real-time modifications and changes based on course evaluations and faculty feedback. Our approach and guiding principles to the successful redesign of the didactic courses may provide both established and new PA educational programs with useful methods to apply in their own unique curricula.

Immersive Simulation in Constructivist-Based Classroom E-Learning

ERIC Educational Resources Information Center

McHaney, Roger; Reiter, Lauren; Reychav, Iris

2018-01-01

This article describes the development of a simulation-based online course combining sound pedagogy, educational technology, and real world expertise to provide university students with an immersive experience in storage management systems. The course developed in this example does more than use a simulation, the entire course is delivered using a…

Theoretical Concerns: Vygotsky on Imagination Development

ERIC Educational Resources Information Center

Gajdamaschko, Natalia

2006-01-01

Lev Vygotsky (1986-1934) was an educational theorist and psychologist of extraordinarily wide knowledge whose major writings deal with the entire learning-teaching-development experience. Despite a wide-ranging interest in Vygotskian theory, the issue of imagination remains outside of the main line of general inquiries into his work. Thus, there…

Teaching Career Development: A Primer for Instructors and Presenters, Second Edition

ERIC Educational Resources Information Center

Osbor, Debra S.

2016-01-01

This second edition not only provides strategies for delivering key components of career development in enthusiastic, innovative, and more meaningful ways, it covers updated standards and new technologies. An entire chapter offers 50+ active learning strategies useful for beginning and intermediate instructors of undergraduate and graduate career…

Web Development Simplified

ERIC Educational Resources Information Center

Becker, Bernd W.

2010-01-01

The author has discussed the Multimedia Educational Resource for Teaching and Online Learning site, MERLOT, in a recent Electronic Roundup column. In this article, he discusses an entirely new Web page development tool that MERLOT has added for its members. The new tool is called the MERLOT Content Builder and is directly integrated into the…

"That Bastard of a Learning Region..."

ERIC Educational Resources Information Center

Maybury, Terence

2009-01-01

The word "bastard" has a richly ambiguous resonance in the Australian meaning-making tradition. It is a term that is variously affectionate, neutral, deleterious and corrosive. This is an ambiguity whose clarification relies almost entirely on the communicational context where its utterance is implaced. Right across the globe the idea of…

Lessons Learned: If I Only Knew Then...

ERIC Educational Resources Information Center

Ward, Janet

2012-01-01

When the author entered the profession in 1978, the phrase "enrollment management" was non-existent. One worked for admissions, financial aid, student accounts, or registration and records, and each department worked independently from the others. Most professionals specialized in one area (e.g., admissions) and then spent their entire career in…

An Improved Algorithm for Predicting Free Recalls

ERIC Educational Resources Information Center

Laming, Donald

2008-01-01

Laming [Laming, D. (2006). "Predicting free recalls." "Journal of Experimental Psychology: Learning, Memory, and Cognition," 32, 1146-1163] has shown that, in a free-recall experiment in which the participants rehearsed out loud, entire sequences of recalls could be predicted, to a useful degree of precision, from the prior sequences of stimuli…

Sea Ventures Development Phase, October 1, 1975 - September 30, 1978.

ERIC Educational Resources Information Center

Sea Ventures, Highlands, NJ.

A detailed profile of the largest fresh-air education program in the country for disadvantaged youth -- Sea Ventures -- is provided in this document. Created entirely through the effort of volunteers, Sea Ventures provides learning opportunities that go beyond occupying youngsters. This multi-racial/lingual juvenile delinquency prevention program…

The Power of Community Education.

ERIC Educational Resources Information Center

Totten, W. Fred

Community education is an all inclusive phenomenon functioning in the community to help people of all ages, races, religious and socioeconomic backgrounds to fulfill their learning needs and to aid in the development and improvement of the entire community. The community school can be the leading agent in the implementation of community education.…

Media Specialists Can Learn Web 2.0 Tools to Make Schools More Cool

ERIC Educational Resources Information Center

Hauser, Judy

2007-01-01

Media specialists today are required to use more and more technology. Their responsibilities encompass everything from repairing overhead projectors to administrating an entire library's automated system. These responsibilities are in addition to working with students on research and information literacy, making book selections, and collaborating…

Everything.

ERIC Educational Resources Information Center

Lubar, David

2003-01-01

Presents a farewell article to Dr. Pamela Sissi Carroll as editor of this journal. Gives a comical review of the field by covering the entire history of young adult literature, past, present, and future, describing the important people and organizations in the field, and explaining everything he has learned as a writer of young adult novels.…

An Educators' Guide to Schoolwide Reform.

ERIC Educational Resources Information Center

American Institutes for Research, Washington, DC.

This guide examines claims for 24 schoolwide programs-- programs that promise to improve student learning by changing the entire school. Focusing on quantitative achievement measures such as test scores, grades, and graduation rates, the report was prepared for educators and others to assist them in their investigation of different approaches to…

Learning to Construct Verbs in Navajo and Quechua

ERIC Educational Resources Information Center

Courtney, Ellen H.; Saville-Troike, Muriel

2002-01-01

Navajo and Quechua, both languages with a highly complex morphology, provide intriguing insights into the acquisition of inflectional systems. The development of the verb in the two languages is especially interesting, since the morphology encodes diverse grammatical notions, with the complex verb often constituting the entire sentence. While the…

Logging on to Learn

ERIC Educational Resources Information Center

Butler, Kevin

2010-01-01

A classroom lecture at Capistrano Connections Academy in Southern California involves booting up the home computer, logging on to a Web site, and observing a teacher conducting a PowerPoint presentation of that day's lesson entirely online. Through microphone headsets, students can watch on their home computers, respond to the teacher's questions,…

STRUCTURE PLUS MEANING EQUALS LANGUAGE PROFICIENCY.

ERIC Educational Resources Information Center

BELASCO, SIMON

TRUE FOREIGN LANGUAGE PROFICIENCY CAN BE ACHIEVED ONLY BY THE INTERNALIZATION OF THE ENTIRE GRAMMAR OF THE TARGET LANGUAGE PLUS THE DEVELOPMENT OF SKILL IN SEMANTIC INTERPRETATION. ADHERENCE TO EITHER OF THE METHODOLOGICAL ASSUMPTIONS THAT UNDERLIE TODAY'S AUDIOLINGUALLY-ORIENTED PROGRAMS WILL LEAD STUDENTS TO NOTHING MORE THAN A LEARNING PLATEAU.…

Scaling Online Education: Increasing Access to Higher Education

ERIC Educational Resources Information Center

Moloney, Jacqueline F.; Oakley, Burks, II

2010-01-01

Over the past decade, online courses and entire online degree programs have been made available, serving millions of students in higher education. These online courses largely have been designed and taught using the theoretical concepts and practical strategies of Asynchronous Learning Networks (ALN). During 2003-04, approximately two million…

Flip Turns with Students

ERIC Educational Resources Information Center

Queeney, Kate

2014-01-01

Kate Queeney, a professor of chemistry at Smith College, turned to a former student to receive one-on-one instruction in swimming. The student, who had been unsure and scared in chemistry class, seemed like an entirely different person when teaching the teacher. This article describes how the author learned that there is something undeniably…

Biological Analogs for Language Contact Situations

ERIC Educational Resources Information Center

Seliger, Herbert W.

1977-01-01

This article proposes that language contact can be best understood if the entire range of such situations from second language learning to evolution of dialects and creoles is studied within a framework analogical to the symbiosis of living organisms. Language contact is viewed in terms of dynamic evolutionary stages. (CHK)

Using the Teaching Portfolio to Anticipate Programmatic Assessment

ERIC Educational Resources Information Center

Price, Kenneth R.

2013-01-01

Portfolios have long been a staple in professional writing courses: both in employment materials assignments and in entire classes that ask students to reflect on their experiential learning. Portfolios may also be used effectively in business communication teaching methods courses. This article details the justification and methodology for having…

Achieving a Standard of Reading Excellence in Kansas

ERIC Educational Resources Information Center

Pfeiffer, Cindy

2011-01-01

In their requirements for Model and Master Classroom, Library, and School Certification, Renaissance Learning, the parent company of Accelerated Reader (AR), emphasizes the components for a successful reading program. Using Reading Renaissance requires emphasis on literacy throughout the entire school and makes the job of the school librarian a…

Beyond Classroom Boundaries: Incorporating Context in Teaching.

ERIC Educational Resources Information Center

CATESOL Journal, 1994

1994-01-01

This English-as-a-Second-Language (ESL) journal periodically devotes entire issues to specific issues. The theme of this issue is "Incorporating Context in Teaching." Articles include: "Learning Beyond the Classroom: Developing the Community Connection" (Tim Beard); "Smiling through the Turbulence: The Flight Attendant Syndrome and Other Issues of…

Comparative Cognitive Task Analyses of Experimental Science and Instructional Laboratory Courses

ERIC Educational Resources Information Center

Wieman, Carl

2015-01-01

Undergraduate instructional labs in physics generate intense opinions. Their advocates are passionate as to their importance for teaching physics as an experimental activity and providing "hands-on" learning experiences, while their detractors (often but not entirely students) offer harsh criticisms that they are pointless, confusing and…

Injecting Inquiry-Oriented Modules into Calculus

ERIC Educational Resources Information Center

Shelton, Therese

2017-01-01

Implementing inquiry-based modules within a course can be effective and enable instructor experimentation, without completely transforming an entire course. For instructors new to inquiry-based learning (IBL), we state hallmarks of the practice and point out the merits of strong IBL communities. An inquiry-based approach may alleviate some current…

Teaching and Learning by Design

ERIC Educational Resources Information Center

Doll, Carol A.

2009-01-01

As teacher and instructional partner, one will need skills in instructional design. The three main types of instructional design are curriculum planning, unit planning, and lesson planning. Curriculum planning, the big picture, looks at the entire set of skills and knowledge for the district, the school, or a specific grade level. Unit planning…

Why American Sign Language Gloss Must Matter.

PubMed

Supalla, Samuel J; Cripps, Jody H; Byrne, Andrew P

2017-01-01

Responding to an article by Grushkin on how deaf children best learn to read, published, along with the present article, in an American Annals of the Deaf special issue, the authors review American Sign Language gloss. Topics include how ASL gloss enables deaf children to learn to read in their own language and simultaneously experience a transition to written English, and what gloss looks like and how it underlines deaf children's learning and mastery of English literacy through ASL. Rebuttal of Grushkin's argument includes data describing a deaf child's engagement in reading aloud (entirely in ASL) with a gloss text, which occurred without the breakdown implied by Grushkin. The authors characterize Grushkin's argument that deaf children need to learn to read through a conventional ASL writing system as limiting, asserting that ASL gloss contributes more by providing a path for learning and mastering English literacy.

Semantic Coherence Facilitates Distributional Learning.

PubMed

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.

Monte Carlo simulation of efficient data acquisition for an entire-body PET scanner

NASA Astrophysics Data System (ADS)

Isnaini, Ismet; Obi, Takashi; Yoshida, Eiji; Yamaya, Taiga

2014-07-01

Conventional PET scanners can image the whole body using many bed positions. On the other hand, an entire-body PET scanner with an extended axial FOV, which can trace whole-body uptake images at the same time and improve sensitivity dynamically, has been desired. The entire-body PET scanner would have to process a large amount of data effectively. As a result, the entire-body PET scanner has high dead time at a multiplex detector grouping process. Also, the entire-body PET scanner has many oblique line-of-responses. In this work, we study an efficient data acquisition for the entire-body PET scanner using the Monte Carlo simulation. The simulated entire-body PET scanner based on depth-of-interaction detectors has a 2016-mm axial field-of-view (FOV) and an 80-cm ring diameter. Since the entire-body PET scanner has higher single data loss than a conventional PET scanner at grouping circuits, the NECR of the entire-body PET scanner decreases. But, single data loss is mitigated by separating the axially arranged detector into multiple parts. Our choice of 3 groups of axially-arranged detectors has shown to increase the peak NECR by 41%. An appropriate choice of maximum ring difference (MRD) will also maintain the same high performance of sensitivity and high peak NECR while at the same time reduces the data size. The extremely-oblique line of response for large axial FOV does not contribute much to the performance of the scanner. The total sensitivity with full MRD increased only 15% than that with about half MRD. The peak NECR was saturated at about half MRD. The entire-body PET scanner promises to provide a large axial FOV and to have sufficient performance values without using the full data.

Learning ion solid interactions hands-on: An activity based, inquiry oriented, graduate course

NASA Astrophysics Data System (ADS)

Braunstein, Gabriel

2005-12-01

Experimental work, using state of the art instrumentation, is integrated with lectures in a "real life", learning by discovery approach, in the Ion-Solid Interactions graduate/undergraduate course offered by the Department of Physics of the University of Central Florida. The lecture component of the course covers the underlying physical principles, and related scientific and technological applications, associated with the interaction of energetic ions with matter. In the experimental section the students form small groups and perform a variety of projects, experimental and computational, as part of a participative, inquiry oriented, learning process. In the most recent offering of the class, the students deposited a compound semiconductor thin film by dual-gun sputtering deposition, where each group aimed at a different stoichiometry of the same compound (Zn1-xSxOy). Then they analyzed the composition using Rutherford backscattering spectrometry, measured electrical transport properties using Hall effect and conductivity measurements, and determined the band gap using spectrophotometry. Finally the groups shared their results and each wrote a 'journal-like' technical article describing the entire work. In a different assignment, each group also developed a Monte Carlo computer program ('TRIM-like') to simulate the penetration of ions into a solid, in ion implantation, calculating the stopping cross-sections with approximate models, taught in class, which can be analytically solved. The combination of classroom/laboratory activities is very well received by the students. They gain real life experience operating state of the art equipment, and working in teams, while performing research-like projects, and simultaneously they learn the theoretical foundations of the discipline.

Development and evaluation of an educational intervention for general practitioners and staff caring for people with dementia living in residential facilities.

PubMed

Beer, Christopher; Lowry, Rachel; Horner, Barbara; Almeida, Osvaldo P; Scherer, Samuel; Lautenschlager, Nicola T; Bretland, Nick; Flett, Penelope; Schaper, Frank; Flicker, Leon

2011-03-01

Despite high levels of participation in dementia education, general practitioners (GPs) and residential care facility (RCF) staff report perceived learning needs. Small group education, which is flexible, individualized, practical and case-based, is sought. We aimed to develop educational interventions for GPs and RCF staff tailored to meet their perceived educational needs. We used a consultative process to develop education programs. A flexible program for RCF staff was developed in 30-minute blocks, which could be combined in sessions of different lengths. The RCF program aimed to facilitate sustainable change by engaging local "Dementia Champions". For GPs, face-to-face and self-directed packages were developed. We collected participant feedback to evaluate the program. GPs and RCF staff were recruited as part of a larger intervention study. Sixteen of the 27 GPs who were offered the dementia education participated. Two of the 16 GPs participated in both learning packages. A total of 45 GP feedback responses were received from 16 GPs: 28 out of 45 GPs (62%) reported that the participants' learning needs were entirely met. Eighteen of 19 facilities offered the intervention participated and 326 RCF staff attended one or more of the 94 RCF education sessions. Feedback was collected from 93 sessions: 1013 out of 1067 RCF staff feedback responses (95%) reported that the session met the participants' learning needs. Qualitative feedback was also strongly positive. Participants perceived the education programs as meeting their needs. Despite explicit attempts to provide flexible delivery options, overall participation rates remained low.

Mutation-based learning to improve student autonomy and scientific inquiry skills in a large genetics laboratory course.

PubMed

Wu, Jinlu

2013-01-01

Laboratory education can play a vital role in developing a learner's autonomy and scientific inquiry skills. In an innovative, mutation-based learning (MBL) approach, students were instructed to redesign a teacher-designed standard experimental protocol by a "mutation" method in a molecular genetics laboratory course. Students could choose to delete, add, reverse, or replace certain steps of the standard protocol to explore questions of interest to them in a given experimental scenario. They wrote experimental proposals to address their rationales and hypotheses for the "mutations"; conducted experiments in parallel, according to both standard and mutated protocols; and then compared and analyzed results to write individual lab reports. Various autonomy-supportive measures were provided in the entire experimental process. Analyses of student work and feedback suggest that students using the MBL approach 1) spend more time discussing experiments, 2) use more scientific inquiry skills, and 3) find the increased autonomy afforded by MBL more enjoyable than do students following regimented instructions in a conventional "cookbook"-style laboratory. Furthermore, the MBL approach does not incur an obvious increase in labor and financial costs, which makes it feasible for easy adaptation and implementation in a large class.

Cultural learning and the Clovis colonization of North America.

PubMed

O'Brien, Michael J; Buchanan, Briggs

2017-11-01

The timing of the earliest colonization of North America is debatable, but what is not at issue is the point of origin of the early colonists: Humans entered the continent from Beringia and then made their way south along or near the Pacific Coast and/or through a corridor that ran between the Cordilleran and Laurentide ice sheets in western North America. At some point, they abandoned their Arctic-based tool complex for one more adapted to an entirely different environment. That new techno-complex is termed "Clovis"; its dispersal allows us to examine, at a fine scale, how colonization processes played out across a vast continent that at the time had, at best, a very small resident population. Clovis has figured prominently in American archeology since the first Clovis points were identified in eastern New Mexico in the 1930s. However, the successful marriage of learning models grounded in evolutionary theory and modern analytical methods that began roughly a decade ago has begun to pay significant dividends in terms of what we know about the rapid spread of human groups across the last sizable landmass to witness human occupation. © 2017 Wiley Periodicals, Inc.

Student experiences of creating and sharing material in online learning.

PubMed

Potts, Henry W W

2011-01-01

User-generated content in an online environment has significant implications in both education and health. Instead of a model of knowledge being something transferred from the expert to the student or to the patient, Web 2.0 technologies offer the hope of making learning, and healthcare delivery, a more collaborative and participative process. However, some evidence suggests that this supposed democratisation of production is not entirely democratic and, in an educational context, many students are uncomfortable about sharing material they create with their peers. To understand students' affective and other experiences of generating content to be shared online with peers (e.g. in online discussions). Online interviews, face-to-face focus groups and further methods with two student groups in medical education, one undergraduate and one postgraduate. Students were broadly positive about creating and sharing material online, but were also quite anxious about doing so. Many practical issues, including around course design, student workload and assessment pressures, were barriers to students creating and sharing material. Group size is also important, with self-sustaining activity less likely in small groups. Successfully introducing user-generated content into medical education requires attention to practical details and an awareness of the student anxiety that can arise.

How well does multiple OCR error correction generalize?

NASA Astrophysics Data System (ADS)

Lund, William B.; Ringger, Eric K.; Walker, Daniel D.

2013-12-01

As the digitization of historical documents, such as newspapers, becomes more common, the need of the archive patron for accurate digital text from those documents increases. Building on our earlier work, the contributions of this paper are: 1. in demonstrating the applicability of novel methods for correcting optical character recognition (OCR) on disparate data sets, including a new synthetic training set, 2. enhancing the correction algorithm with novel features, and 3. assessing the data requirements of the correction learning method. First, we correct errors using conditional random fields (CRF) trained on synthetic training data sets in order to demonstrate the applicability of the methodology to unrelated test sets. Second, we show the strength of lexical features from the training sets on two unrelated test sets, yielding a relative reduction in word error rate on the test sets of 6.52%. New features capture the recurrence of hypothesis tokens and yield an additional relative reduction in WER of 2.30%. Further, we show that only 2.0% of the full training corpus of over 500,000 feature cases is needed to achieve correction results comparable to those using the entire training corpus, effectively reducing both the complexity of the training process and the learned correction model.

IYL project: pinky-powered photons

NASA Astrophysics Data System (ADS)

Dreyer, Elizabeth F. C.; Aku-Leh, Cynthia; Nees, John A.; Sala, Anca L.; Smith, Arlene; Jones, Timothy

2016-09-01

Pinky-powered Photons is an activity created by the Michigan Light Project during the International Year of Light to encourage creativity in learning about light. It is a low-cost project. Participants make and take home a colorful LED light powered entirely by their fingers. Younger visitors "package" the electrical element into their own creation while older visitors solder the electrical parts together and then create their own design. This paper will detail the learning objectives and outcomes of this project as well as how to implement it in an outreach event or classroom.

Software Architecture to Support the Evolution of the ISRU RESOLVE Engineering Breadboard Unit 2 (EBU2)

NASA Technical Reports Server (NTRS)

Moss, Thomas; Nurge, Mark; Perusich, Stephen

2011-01-01

The In-Situ Resource Utilization (ISRU) Regolith & Environmental Science and Oxygen & Lunar Volatiles Extraction (RESOLVE) software provides operation of the physical plant from a remote location with a high-level interface that can access and control the data from external software applications of other subsystems. This software allows autonomous control over the entire system with manual computer control of individual system/process components. It gives non-programmer operators the capability to easily modify the high-level autonomous sequencing while the software is in operation, as well as the ability to modify the low-level, file-based sequences prior to the system operation. Local automated control in a distributed system is also enabled where component control is maintained during the loss of network connectivity with the remote workstation. This innovation also minimizes network traffic. The software architecture commands and controls the latest generation of RESOLVE processes used to obtain, process, and quantify lunar regolith. The system is grouped into six sub-processes: Drill, Crush, Reactor, Lunar Water Resource Demonstration (LWRD), Regolith Volatiles Characterization (RVC) (see example), and Regolith Oxygen Extraction (ROE). Some processes are independent, some are dependent on other processes, and some are independent but run concurrently with other processes. The first goal is to analyze the volatiles emanating from lunar regolith, such as water, carbon monoxide, carbon dioxide, ammonia, hydrogen, and others. This is done by heating the soil and analyzing and capturing the volatilized product. The second goal is to produce water by reducing the soil at high temperatures with hydrogen. This is done by raising the reactor temperature in the range of 800 to 900 C, causing the reaction to progress by adding hydrogen, and then capturing the water product in a desiccant bed. The software needs to run the entire unit and all sub-processes; however, throughout testing, many variables and parameters need to be changed as more is learned about the system operation. The Master Events Controller (MEC) is run on a standard laptop PC using Windows XP. This PC runs in parallel to another laptop that monitors the GC, and a third PC that monitors the drilling/ crushing operation. These three PCs interface to the process through a CompactRIO, OPC Servers, and modems.

The fundamentals of integrating service in a post-licensure RN to BSN program.

PubMed

Washington-Brown, Linda; Ritchie, Arlene

2014-01-01

Integrating service in a post-licensure registered nurse to bachelor of science in nursing (RN to BSN) program provides licensed registered nurse (RN) students the opportunity to learn, develop, and experience different cultures while serving the community and populations in need (McKinnon & Fitzpatrick, 2012). Service to the community, integrated with academic learning can be applied in a wide variety of settings, including schools, universities, and community faith-based organizations. Academic service-learning (ASL) can involve a group of students, a classroom, or an entire school. In the RN to BSN program, the authors use a student-directed service learning approach that integrates service-learning throughout the curriculum. RN students are introduced to service-learning at program orientation prior to the start of classes and receive reinforcement and active engagement throughout the curriculum. The students and volunteer agencies receive and give benefits from the services provided and the life lessons gained through mentorship, education, and hands-on experiences.

Visual memory and learning in extremely low-birth-weight/extremely preterm adolescents compared with controls: a geographic study.

PubMed

Molloy, Carly S; Wilson-Ching, Michelle; Doyle, Lex W; Anderson, Vicki A; Anderson, Peter J

2014-04-01

Contemporary data on visual memory and learning in survivors born extremely preterm (EP; <28 weeks gestation) or with extremely low birth weight (ELBW; <1,000 g) are lacking. Geographically determined cohort study of 298 consecutive EP/ELBW survivors born in 1991 and 1992, and 262 randomly selected normal-birth-weight controls. Visual learning and memory data were available for 221 (74.2%) EP/ELBW subjects and 159 (60.7%) controls. EP/ELBW adolescents exhibited significantly poorer performance across visual memory and learning variables compared with controls. Visual learning and delayed visual memory were particularly problematic and remained so after controlling for visual-motor integration and visual perception and excluding adolescents with neurosensory disability, and/or IQ <70. Male EP/ELBW adolescents or those treated with corticosteroids had poorer outcomes. EP/ELBW adolescents have poorer visual memory and learning outcomes compared with controls, which cannot be entirely explained by poor visual perceptual or visual constructional skills or intellectual impairment.

Access NASA Satellite Global Precipitation Data Visualization on YouTube

NASA Astrophysics Data System (ADS)

Liu, Z.; Su, J.; Acker, J. G.; Huffman, G. J.; Vollmer, B.; Wei, J.; Meyer, D. J.

2017-12-01

Since the satellite era began, NASA has collected a large volume of Earth science observations for research and applications around the world. Satellite data at 12 NASA data centers can also be used for STEM activities such as disaster events, climate change, etc. However, accessing satellite data can be a daunting task for non-professional users such as teachers and students because of unfamiliarity of terminology, disciplines, data formats, data structures, computing resources, processing software, programing languages, etc. Over the years, many efforts have been developed to improve satellite data access, but barriers still exist for non-professionals. In this presentation, we will present our latest activity that uses the popular online video sharing web site, YouTube, to access visualization of global precipitation datasets at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). With YouTube, users can access and visualize a large volume of satellite data without necessity to learn new software or download data. The dataset in this activity is the 3-hourly TRMM (Tropical Rainfall Measuring Mission) Multi-satellite Precipitation Analysis (TMPA). The video consists of over 50,000 data files collected since 1998 onwards, covering a zone between 50°N-S. The YouTube video will last 36 minutes for the entire dataset record (over 19 years). Since the time stamp is on each frame of the video, users can begin at any time by dragging the time progress bar. This precipitation animation will allow viewing precipitation events and processes (e.g., hurricanes, fronts, atmospheric rivers, etc.) on a global scale. The next plan is to develop a similar animation for the GPM (Global Precipitation Measurement) Integrated Multi-satellitE Retrievals for GPM (IMERG). The IMERG provides precipitation on a near-global (60°N-S) coverage at half-hourly time interval, showing more details on precipitation processes and development, compared to the 3-hourly TMPA product. The entire video will contain more than 330,000 files and will last 3.6 hours. Future plans include development of fly-over videos for orbital data for an entire satellite mission or project. All videos will be uploaded and available at the GES DISC site on YouTube (https://www.youtube.com/user/NASAGESDISC).

A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords

PubMed Central

Garagnani, Max; Lucchese, Guglielmo; Tomasello, Rosario; Wennekers, Thomas; Pulvermüller, Friedemann

2017-01-01

Experimental evidence indicates that neurophysiological responses to well-known meaningful sensory items and symbols (such as familiar objects, faces, or words) differ from those to matched but novel and senseless materials (unknown objects, scrambled faces, and pseudowords). Spectral responses in the high beta- and gamma-band have been observed to be generally stronger to familiar stimuli than to unfamiliar ones. These differences have been hypothesized to be caused by the activation of distributed neuronal circuits or cell assemblies, which act as long-term memory traces for learned familiar items only. Here, we simulated word learning using a biologically constrained neurocomputational model of the left-hemispheric cortical areas known to be relevant for language and conceptual processing. The 12-area spiking neural-network architecture implemented replicates physiological and connectivity features of primary, secondary, and higher-association cortices in the frontal, temporal, and occipital lobes of the human brain. We simulated elementary aspects of word learning in it, focussing specifically on semantic grounding in action and perception. As a result of spike-driven Hebbian synaptic plasticity mechanisms, distributed, stimulus-specific cell-assembly (CA) circuits spontaneously emerged in the network. After training, presentation of one of the learned “word” forms to the model correlate of primary auditory cortex induced periodic bursts of activity within the corresponding CA, leading to oscillatory phenomena in the entire network and spontaneous across-area neural synchronization. Crucially, Morlet wavelet analysis of the network's responses recorded during presentation of learned meaningful “word” and novel, senseless “pseudoword” patterns revealed stronger induced spectral power in the gamma-band for the former than the latter, closely mirroring differences found in neurophysiological data. Furthermore, coherence analysis of the simulated responses uncovered dissociated category specific patterns of synchronous oscillations in distant cortical areas, including indirectly connected primary sensorimotor areas. Bridging the gap between cellular-level mechanisms, neuronal-population behavior, and cognitive function, the present model constitutes the first spiking, neurobiologically, and anatomically realistic model able to explain high-frequency oscillatory phenomena indexing language processing on the basis of dynamics and competitive interactions of distributed cell-assembly circuits which emerge in the brain as a result of Hebbian learning and sensorimotor experience. PMID:28149276

Automatic labeling of MR brain images through extensible learning and atlas forests.

PubMed

Xu, Lijun; Liu, Hong; Song, Enmin; Yan, Meng; Jin, Renchao; Hung, Chih-Cheng

2017-12-01

Multiatlas-based method is extensively used in MR brain images segmentation because of its simplicity and robustness. This method provides excellent accuracy although it is time consuming and limited in terms of obtaining information about new atlases. In this study, an automatic labeling of MR brain images through extensible learning and atlas forest is presented to address these limitations. We propose an extensible learning model which allows the multiatlas-based framework capable of managing the datasets with numerous atlases or dynamic atlas datasets and simultaneously ensure the accuracy of automatic labeling. Two new strategies are used to reduce the time and space complexity and improve the efficiency of the automatic labeling of brain MR images. First, atlases are encoded to atlas forests through random forest technology to reduce the time consumed for cross-registration between atlases and target image, and a scatter spatial vector is designed to eliminate errors caused by inaccurate registration. Second, an atlas selection method based on the extensible learning model is used to select atlases for target image without traversing the entire dataset and then obtain the accurate labeling. The labeling results of the proposed method were evaluated in three public datasets, namely, IBSR, LONI LPBA40, and ADNI. With the proposed method, the dice coefficient metric values on the three datasets were 84.17 ± 4.61%, 83.25 ± 4.29%, and 81.88 ± 4.53% which were 5% higher than those of the conventional method, respectively. The efficiency of the extensible learning model was evaluated by state-of-the-art methods for labeling of MR brain images. Experimental results showed that the proposed method could achieve accurate labeling for MR brain images without traversing the entire datasets. In the proposed multiatlas-based method, extensible learning and atlas forests were applied to control the automatic labeling of brain anatomies on large atlas datasets or dynamic atlas datasets and obtain accurate results. © 2017 American Association of Physicists in Medicine.

Online Low-Rank Representation Learning for Joint Multi-subspace Recovery and Clustering.

PubMed

Li, Bo; Liu, Risheng; Cao, Junjie; Zhang, Jie; Lai, Yu-Kun; Liua, Xiuping

2017-10-06

Benefiting from global rank constraints, the lowrank representation (LRR) method has been shown to be an effective solution to subspace learning. However, the global mechanism also means that the LRR model is not suitable for handling large-scale data or dynamic data. For large-scale data, the LRR method suffers from high time complexity, and for dynamic data, it has to recompute a complex rank minimization for the entire data set whenever new samples are dynamically added, making it prohibitively expensive. Existing attempts to online LRR either take a stochastic approach or build the representation purely based on a small sample set and treat new input as out-of-sample data. The former often requires multiple runs for good performance and thus takes longer time to run, and the latter formulates online LRR as an out-ofsample classification problem and is less robust to noise. In this paper, a novel online low-rank representation subspace learning method is proposed for both large-scale and dynamic data. The proposed algorithm is composed of two stages: static learning and dynamic updating. In the first stage, the subspace structure is learned from a small number of data samples. In the second stage, the intrinsic principal components of the entire data set are computed incrementally by utilizing the learned subspace structure, and the low-rank representation matrix can also be incrementally solved by an efficient online singular value decomposition (SVD) algorithm. The time complexity is reduced dramatically for large-scale data, and repeated computation is avoided for dynamic problems. We further perform theoretical analysis comparing the proposed online algorithm with the batch LRR method. Finally, experimental results on typical tasks of subspace recovery and subspace clustering show that the proposed algorithm performs comparably or better than batch methods including the batch LRR, and significantly outperforms state-of-the-art online methods.

MO-A-BRB-03: Integration Issues in Electronic Charting for External Beam Therapy

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

Sutlief, S.

2015-06-15

The process of converting to an electronic chart for radiation therapy can be daunting. It requires a dedicated committee to first research and choose appropriate software, to review the entire documentation policy and flow of the clinic, to convert this system to electronic form or if necessary, redesign the system to more easily conform to the electronic process. Those making the conversion and those who already use electronic charting would benefit from the shared experience of those who have been through the process in the past. Therefore TG262 was convened to provide guidance on electronic charting for external beam radiationmore » therapy and brachytherapy. This course will present the results of an internal survey of task group members on EMR practices in External Beam Radiation Therapy as well as discuss important issues in EMR development and structure for both EBRT and brachytherapy. Learning Objectives: Be familiarized with common practices and pitfalls in development and maintenance of an electronic chart in Radiation Oncology Be familiarized with important issues related to electronic charting in External Beam Radiation Therapy Be familiarized with important issues related to electronic charting in Brachytherapy.« less

MO-A-BRB-02: Considerations and Issues in Electronic Charting for Brachytherapy

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

Richardson, S.

2015-06-15

The process of converting to an electronic chart for radiation therapy can be daunting. It requires a dedicated committee to first research and choose appropriate software, to review the entire documentation policy and flow of the clinic, to convert this system to electronic form or if necessary, redesign the system to more easily conform to the electronic process. Those making the conversion and those who already use electronic charting would benefit from the shared experience of those who have been through the process in the past. Therefore TG262 was convened to provide guidance on electronic charting for external beam radiationmore » therapy and brachytherapy. This course will present the results of an internal survey of task group members on EMR practices in External Beam Radiation Therapy as well as discuss important issues in EMR development and structure for both EBRT and brachytherapy. Learning Objectives: Be familiarized with common practices and pitfalls in development and maintenance of an electronic chart in Radiation Oncology Be familiarized with important issues related to electronic charting in External Beam Radiation Therapy Be familiarized with important issues related to electronic charting in Brachytherapy.« less

A Comparison of the SOCIT and DebriSat Experiments

NASA Technical Reports Server (NTRS)

Ausay, E.; Cornejo, A.; Horn, A.; Palma, K.; Sato, T.; Blake, B.; Pistella, F.; Boyle, C.; Todd, N.; Zimmerman, J.;

Automated Classification of Heritage Buildings for As-Built Bim Using Machine Learning Techniques

NASA Astrophysics Data System (ADS)

Bassier, M.; Vergauwen, M.; Van Genechten, B.

2017-08-01

Semantically rich three dimensional models such as Building Information Models (BIMs) are increasingly used in digital heritage. They provide the required information to varying stakeholders during the different stages of the historic buildings life cyle which is crucial in the conservation process. The creation of as-built BIM models is based on point cloud data. However, manually interpreting this data is labour intensive and often leads to misinterpretations. By automatically classifying the point cloud, the information can be proccesed more effeciently. A key aspect in this automated scan-to-BIM process is the classification of building objects. In this research we look to automatically recognise elements in existing buildings to create compact semantic information models. Our algorithm efficiently extracts the main structural components such as floors, ceilings, roofs, walls and beams despite the presence of significant clutter and occlusions. More specifically, Support Vector Machines (SVM) are proposed for the classification. The algorithm is evaluated using real data of a variety of existing buildings. The results prove that the used classifier recognizes the objects with both high precision and recall. As a result, entire data sets are reliably labelled at once. The approach enables experts to better document and process heritage assets.

Positive results of clinical educational support in situations of psychological distress.

PubMed

Tavormina, Dominique

2014-11-01

Education is a complex process that involves the individual in the course of his entire life and leads to the maturation and the overall development of his personality. The educational process involves the complete growth of each and completes the infinite possibilities that every child has potential since birth. Education also is a necessity for the human being, as only adequate environmental stimulation causes the mental processes to begin. In fact, the higher intellectual functions, such as language, thought, memory, emerge only from social and educational experiences of the child. The educational surgery creates experiences and learning that allow the person to change by improving the efficiency of synaptic connections. Clinical pedagogy has developed in Italy in the last decades of the twentieth century with the aim of research and experimenting educational purposes suitable for different situations in order to provide each subject with appropriate development opportunities. Clinical pedagogical support is offered in the form of artistic or bodily activities and represents for the individual a positive environment that allows the development of different brain areas and the potential inherent in them. The various methods are suitable for any situation of existential discomfort, which are understood as moments of personal growth.

Contextual cueing: implicit learning and memory of visual context guides spatial attention.

PubMed

Chun, M M; Jiang, Y

1998-06-01

Global context plays an important, but poorly understood, role in visual tasks. This study demonstrates that a robust memory for visual context exists to guide spatial attention. Global context was operationalized as the spatial layout of objects in visual search displays. Half of the configurations were repeated across blocks throughout the entire session, and targets appeared within consistent locations in these arrays. Targets appearing in learned configurations were detected more quickly. This newly discovered form of search facilitation is termed contextual cueing. Contextual cueing is driven by incidentally learned associations between spatial configurations (context) and target locations. This benefit was obtained despite chance performance for recognizing the configurations, suggesting that the memory for context was implicit. The results show how implicit learning and memory of visual context can guide spatial attention towards task-relevant aspects of a scene.

Ditchin' the Master's Gardening Tools for Our Own: Growing a Womanist Methodology from the Grassroots

ERIC Educational Resources Information Center

Marr, Vanessa L.

2014-01-01

This essay explores the autoethnographic possibilities of critical service-learning research and the emerging realities of a community-centered womanist methodological response. Drawing from Alice Walker's definition of "womanist" as a commitment to "survival and wholeness of entire people, male 'and' female," the author argues…

"Dissection" of a Hair Dryer

ERIC Educational Resources Information Center

Eisenstein, Stan; Simpson, Jeff

2008-01-01

The electrical design of the common hair dryer is based almost entirely on relatively simple principles learned in introductory physics classes. Just as biology students dissect a frog to see the principles of anatomy in action, physics students can "dissect" a hair dryer to see how principles of electricity are used in a real system. They can…

Space Shuttle. Teacher's Guide [and] Student Material.

ERIC Educational Resources Information Center

Butler, Della

The teacher's guide and student materials provide elementary and junior high school students with an understanding of the space shuttle as a new kind of transportation for conveying goods and performing services in space. The unit is appropriate for a learning center approach, individual instruction, or use with the entire class. It is organized…

CyberCIEGE Scenario Illustrating Software Integrity Issues and Management of Air-Gapped Networks in a Military Environment

DTIC Science & Technology

2005-12-01

courses in which students learn programming techniques using gaming software models . As part of the effort, teaching modules and entire courses will......assets. The United States Navy recently implemented new policies to restrict service personnel’s use of commercial, web- based email applications in an

21st Century Curriculum

ERIC Educational Resources Information Center

Fredette, Michelle

2013-01-01

In rural Kansas, five high school students take seats in their school's distance learning classroom for a Mandarin language class they share with students at four other schools around the state. In Atlanta, an entire class of kindergartners sits in front of a big screen, speaking to their teacher in China. The students laugh, raise their hands,…

A Game-Based Approach to an Entire Physical Chemistry Course

ERIC Educational Resources Information Center

Daubenfeld, Thorsten; Zenker, Dietmar

2015-01-01

We designed, implemented, and evaluated a game-based learning approach to increase student motivation and achievement for an undergraduate physical chemistry course. By focusing only on the most important game aspects, the implementation was realized with a production ratio of 1:8 (study load in hours divided by production effort in hours).…

An iPad Education?

ERIC Educational Resources Information Center

Cooper, Kenneth J.

2012-01-01

In keeping with Steve Jobs' vision of transforming education, Apple has expanded its iTunes U so that professors can offer entire courses, not just lectures. So far, though, colleges and universities are not rushing to drop the platforms they use for online learning and adopt the new application from the technology heavyweight. Apple bills the…

Data-Driven Intervention: Correcting Mathematics Students' Misconceptions, Not Mistakes

ERIC Educational Resources Information Center

Holmes, Vicki-Lynn; Miedema, Chelsea; Nieuwkoop, Lindsay; Haugen, Nicholas

2013-01-01

In an age when reform is based on standards and instruction is based on research, this article gives practical advice for how mathematics teachers can analyze errors in student problems to create interventions that aid not only the individual's development, but the entire class's as well. By learning how to correct mathematics students'…

A Cultural Heritage Exhibit with 21st-Century Technology

ERIC Educational Resources Information Center

Lincoln, Margaret

2013-01-01

Lakeview Schools and the Art Center of Battle Creek, both located in Michigan, have worked together on several beneficial projects. This partnership has resulted in the sharing of valuable material and human resources. In addition, the use of innovative technology has provided a meaningful learning experience for the entire community. As the…

A Sense of Community: Collaboration in a Large Anthropology Class.

ERIC Educational Resources Information Center

Lancy, David F.; And Others

1994-01-01

A large introductory anthropology course at Utah State University was organized to promote collaboration among and between students and faculty. Students were divided into and worked in "clans" for the entire term. A study of the course suggests that learning and a sense of community resulted directly from this organization. (MSE)

Get Ready for the Gamer Generation

ERIC Educational Resources Information Center

Carstens, Adam; Beck, John

2005-01-01

There is a new generation of workers taking over key positions in organizations and in classrooms. This generation is younger, yes, but they are also different in ways that will definitely change how business is done and how learning is accomplished. Research shows that the way they spent their formative years has given them an entirely different…

Neoliberal Exclusion and the Fantasy of Competition: What Are Children Learning from "Monsters University?"

ERIC Educational Resources Information Center

Greeley, Luke

2018-01-01

The Disney/Pixar film, "Monsters University" (2013) was a tremendous financial success. As a film written entirely about college students and their quest for social and economic attainment, but marketed primarily to children and adolescents, its messages about the purpose of college and the college experience deserve close examination…

A Context Awareness System for Online Learning: Design Based Research

ERIC Educational Resources Information Center

Laffey, James; Amelung, Chris; Goggins, Sean

2009-01-01

A design based research strategy examining the impressions and behavior of members of courses taught entirely online is used for refining a context-aware activity notification system (CANS). The findings show that CANS must address substantial variety in courses and members while also fitting with multitasking between online and real world…

Community-Authored Resources for Education

ERIC Educational Resources Information Center

Tinker, Robert; Linn, Marcia; Gerard, Libby; Staudt, Carolyn

2010-01-01

Textbooks are resources for learning that provide the structure, content, assessments, and teacher guidance for an entire course. Technology can provide a far better resource that provides the same functions, but takes full advantage of computers. This resource would be much more than text on a screen. It would use the best technology; it would be…

Developing Writing Proficiency for the Lower-Level Foreign Language Student.

ERIC Educational Resources Information Center

DeBoer, Valetta Jane

1984-01-01

Learning to communicate is important for today's foreign language student, and it is important to provide meaningful communicative experiences in writing as well as speaking the language. A letter exchange between peers can provide a meaningful and exciting writing experience for lower-level students. While not entirely without problems, arranging…

Human Capital Development in Education: Challenges and Policy Options

ERIC Educational Resources Information Center

Best, Jane R.

2010-01-01

Increasing student achievement and narrowing the achievement gap are challenges that states and districts continue to confront as they strive to develop talent that will contribute to our nation's economy. Some strategies to produce authentic improvement in learning are not entirely a mystery. A preponderance of research in recent years provides…

Online Doctor of Pharmacy Program for Pharmacy Practitioners: Development and Evaluation of Six Pilot Courses.

ERIC Educational Resources Information Center

O'Neil, Christine K.; Poirier, Therese I.

2000-01-01

The first six courses of this online program successfully increased participants' knowledge and perceived preparedness to provide pharmaceutical care. This success provided the stimulus for the development of the entire online Doctor of Pharmacy program. Participants felt that the online program facilitated more active and enhanced learning and…

From Test Takers to Test Makers

ERIC Educational Resources Information Center

Smith, Kari

2009-01-01

As a classroom teacher, Kari Smith realized that traditional objective tests don't always assess what students actually know. But tests are so deeply embedded in the education system that it would be difficult to do away with them entirely. Smith decided to make tests into learning tools. In this article, Smith describes three strategies for…

Measuring Behavioral Learnings: A Study in Consumer Credits.

ERIC Educational Resources Information Center

Anderson, C. Raymond

A social simulation game, Consumer, was used to study the effectiveness of simulation in teaching facts about: (1) installment buying; (2) how to compare available sources of credit; and (3) how to recognize the best credit contract. The entire twelfth grade at one high school participated in the study. Ten class sections were assigned to…

Language at a Distance: Sharpening a Communication Tool in the Online Classroom

ERIC Educational Resources Information Center

Hannan, Annika

2009-01-01

Both immensely powerful and entirely fickle, language in online instruction is a double-edged sword. A potent intermediary between instructor and students, and among students themselves, language is a key tool in online learning. It carries and cultivates information. It builds knowledge and self-awareness. It brings learners together in a…

Lectura y Vida: Revista Latinoamericana de Lectura. (Reading and Life: Latin American Reading Magazine). 1998.

ERIC Educational Resources Information Center

Lectura y Vida: Revista Latinoamericana de Lectura, 1998

1998-01-01

The four 1998 issues of the journal on literacy education, entirely in Spanish, include these articles: "The Inevitable Radical Weakness of Language: Some Reflections about Forming Readers and Citizens" (Daniel Goldin); "Relationships among Reading and Writing, Thematic Units, Learning Through Research...In Search of Effective…

Tips on Creating Complex Geometry Using Solid Modeling Software

ERIC Educational Resources Information Center

Gow, George

2008-01-01

Three-dimensional computer-aided drafting (CAD) software, sometimes referred to as "solid modeling" software, is easy to learn, fun to use, and becoming the standard in industry. However, many users have difficulty creating complex geometry with the solid modeling software. And the problem is not entirely a student problem. Even some teachers and…

E-learning process maturity level: a conceptual framework

NASA Astrophysics Data System (ADS)

Rahmah, A.; Santoso, H. B.; Hasibuan, Z. A.

2018-03-01

ICT advancement is a sure thing with the impact influencing many domains, including learning in both formal and informal situations. It leads to a new mindset that we should not only utilize the given ICT to support the learning process, but also improve it gradually involving a lot of factors. These phenomenon is called e-learning process evolution. Accordingly, this study attempts to explore maturity level concept to provide the improvement direction gradually and progression monitoring for the individual e-learning process. Extensive literature review, observation, and forming constructs are conducted to develop a conceptual framework for e-learning process maturity level. The conceptual framework consists of learner, e-learning process, continuous improvement, evolution of e-learning process, technology, and learning objectives. Whilst, evolution of e-learning process depicted as current versus expected conditions of e-learning process maturity level. The study concludes that from the e-learning process maturity level conceptual framework, it may guide the evolution roadmap for e-learning process, accelerate the evolution, and decrease the negative impact of ICT. The conceptual framework will be verified and tested in the future study.

A Behavioral Framework for Managing Massive Airline Flight Disruptions through Crisis Management, Organization Development, and Organization Learning

NASA Astrophysics Data System (ADS)

Larsen, Tulinda Deegan

In this study the researcher provides a behavioral framework for managing massive airline flight disruptions (MAFD) in the United States. Under conditions of MAFD, multiple flights are disrupted throughout the airline's route network, customer service is negatively affected, additional costs are created for airlines, and governments intervene. This study is different from other studies relating to MAFD that have focused on the operational, technical, economic, financial, and customer service impacts. The researcher argues that airlines could improve the management of events that led to MAFD by applying the principles of crisis management where the entire organization is mobilized, rather than one department, adapting organization development (OD) interventions to implement change and organization learning (OL) processes to create culture of innovation, resulting in sustainable improvement in customer service, cost reductions, and mitigation of government intervention. At the intersection of crisis management, OD, and OL, the researcher has developed a new conceptual framework that enhances the resiliency of individuals and organizations in responding to unexpected-yet-recurring crises (e.g., MAFD) that impact operations. The researcher has adapted and augmented Lalonde's framework for managing crises through OD interventions by including OL processes. The OD interventions, coupled with OL, provide a framework for airline leaders to manage more effectively events that result in MAFD with the goal of improving passenger satisfaction, reducing costs, and preventing further government intervention. Further research is warranted to apply this conceptual framework to unexpected-yet-recurring crises that affect operations in other industries.

Responsible science: Ensuring the integrity of the research process, volume 1

NASA Astrophysics Data System (ADS)

This report thoughtfully examines the challenges posed in ensuring that the search for truth reflects adherence to ethical standards. In recent years, we have learned, sometimes painfully, that not all scientists adhere to this obligation. Reports of falsified research results and plagiarism involving both junior and senior scientists have stimulated doubts and criticism about the ways in which misconduct in science is addressed by the research community. Misconduct in science is now being publicly examined in all of its aspects; how misconduct is defined, the process by which misconduct is discovered, and procedures for judging innocence or guilt and assessing penalties. Also being explored are the appropriate roles of individuals, research institutions, journals, government research agencies, and the legal system. Issues of misconduct and integrity in science present complex questions. These issues require the sustained attention of all members of the research community as well as of leaders in the public and private sector who are concerned with safeguarding the health of science. In this regard ensuring the integrity of the research process is similar to assuring safety in the workplace: it is a process that requires continued participation from all levels of the entire research enterprise--the practitioners, the host institutions, the sponsors in government, and the legislators who provide the funds.

Secrets from immortal worms: What can we learn about biological ageing from the planarian model system?

PubMed

Sahu, Sounak; Dattani, Anish; Aboobaker, A Aziz

2017-10-01

Understanding how some animals are immortal and avoid the ageing process is important. We currently know very little about how they achieve this. Research with genetic model systems has revealed the existence of conserved genetic pathways and molecular processes that affect longevity. Most of these established model organisms have relatively short lifespans. Here we consider the use of planarians, with an immortal life-history that is able to entirely avoid the ageing process. These animals are capable of profound feats of regeneration fueled by a population of adult stem cells called neoblasts. These cells are capable of indefinite self-renewal that has underpinned the evolution of animals that reproduce only by fission, having disposed of the germline, and must therefore be somatically immortal and avoid the ageing process. How they do this is only now starting to be understood. Here we suggest that the evidence so far supports the hypothesis that the lack of ageing is an emergent property of both being highly regenerative and the evolution of highly effective mechanisms for ensuring genome stability in the neoblast stem cell population. The details of these mechanisms could prove to be very informative in understanding how the causes of ageing can be avoided, slowed or even reversed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Teaching Geology at San Quentin State Prison

NASA Astrophysics Data System (ADS)

D'Alessio, M. A.; Pehl, J.; Ferrier, K. L.; Pehl, C. W.

2004-12-01

The students enrolled in our Geology 215 class are about as on-traditional as it gets. They range in age from about 20 - 50 years old, they are all male, all from under-represented ethnic groups, and they are all serving time in one of the country's most notorious prisons. We teach in a degree-granting community college program inside California's San Quentin State Prison. The program is run entirely by volunteers, and students who participate in educational programs like ours are about 5 times less likely to return to prison than the general inmate population in California. The prison population of California is ethnically diverse, though minorities are present in higher proportion than in the general population. Last semester, our geology class happened to be composed entirely of minorities even though the college program serves the full spectrum of the prison population. While some trends in geoscience education encourage the use of technology in the classroom, security restrictions prevent us from using even some of the simplest visual aids. Faced with these challenges, we have developed an inquiry-based syllabus for an introductory Geology class at the community college level. We find that kinaesthetic learning activities such as urban geologic mapping and acting out plate tectonic motions from ridge to trench (complete with magnetic pole polarity shifts) are not only possible in restricted learning environments, but they promote student learning in unexpected ways.

The Clementine mechanisms

NASA Technical Reports Server (NTRS)

Purdy, William; Hurley, Michael

1995-01-01

The Clementine spacecraft was developed under the 'faster, better, cheaper' theme. The constraints of a low budget coupled with an unusually tight schedule forced many departures from the normal spacecraft development methods. This paper discusses technical lessons learned about several of the mechanisms on the Clementine spacecraft as well as managerial lessons learned for the entire mechanisms subsystem. A quick overview of the Clementine mission is included; the mission schedule and environment during the mechanisms releases and deployment are highlighted. This paper then describes the entire mechanisms subsystem. The design and test approach and key philosophies for a fast-track program are discussed during the description of the mechanisms subsystem. The mechanism subsystem included a marman clamp separation system, a separation nut separation system, a solar panel deployment and pointing system, a high gain antenna feed deployment system, and two separate sensor cover systems. Each mechanism is briefly discussed. Additional technical discussion is given on the marman clamp design, the sensor cover designs, and the design and testing practices for systems driven by heated actuators (specifically paraffin actuators and frangibolts). All of the other mechanisms were of conventional designs and will receive less emphasis. Lessons learned are discussed throughout the paper as they applied to the systems being discussed. Since there is information on many different systems, this paper is organized so that information on a particular topic can be quickly referenced.

Preparing for the workplace: fostering generic attributes in allied health education programs.

PubMed

Higgs, J; Hunt, A

1999-01-01

Allied health curricula need to extend beyond the learning of discipline-specific skills to encompass broader learning goals. In particular, the acquisition of generic skills is necessary to enable graduates to function more competently and confidently within their rapidly changing work, professional, and societal environments. In health sciences education particularly, the rate of change in practice and education is rapid and unprecedented. If educators focus on components of the curriculum rather than the entire learning experience, they are likely to significantly limit the students' acquisition of such generic skills. To achieve the desired generic skills outcomes, an overarching, integrated, and consistently applied curriculum strategy is advocated. This article considers a number of such strategies relevant to allied health education.

WE-G-209-00: Identifying Image Artifacts, Their Causes, and How to Fix Them

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

NONE

Digital radiography, CT, PET, and MR are complicated imaging modalities which are composed of many hardware and software components. These components work together in a highly coordinated chain of events with the intent to produce high quality images. Acquisition, processing and reconstruction of data must occur in a precise way for optimum image quality to be achieved. Any error or unexpected event in the entire process can produce unwanted pixel intensities in the final images which may contribute to visible image artifacts. The diagnostic imaging physicist is uniquely qualified to investigate and contribute to resolution of image artifacts. This coursemore » will teach the participant to identify common artifacts found clinically in digital radiography, CT, PET, and MR, to determine the causes of artifacts, and to make recommendations for how to resolve artifacts. Learning Objectives: Identify common artifacts found clinically in digital radiography, CT, PET and MR. Determine causes of various clinical artifacts from digital radiography, CT, PET and MR. Describe how to resolve various clinical artifacts from digital radiography, CT, PET and MR.« less

WE-G-209-01: Digital Radiography

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

Schueler, B.

Digital radiography, CT, PET, and MR are complicated imaging modalities which are composed of many hardware and software components. These components work together in a highly coordinated chain of events with the intent to produce high quality images. Acquisition, processing and reconstruction of data must occur in a precise way for optimum image quality to be achieved. Any error or unexpected event in the entire process can produce unwanted pixel intensities in the final images which may contribute to visible image artifacts. The diagnostic imaging physicist is uniquely qualified to investigate and contribute to resolution of image artifacts. This coursemore » will teach the participant to identify common artifacts found clinically in digital radiography, CT, PET, and MR, to determine the causes of artifacts, and to make recommendations for how to resolve artifacts. Learning Objectives: Identify common artifacts found clinically in digital radiography, CT, PET and MR. Determine causes of various clinical artifacts from digital radiography, CT, PET and MR. Describe how to resolve various clinical artifacts from digital radiography, CT, PET and MR.« less

Reconsidering change and continuity in later life: toward an innovation theory of successful aging.

PubMed

Nimrod, Galit; Kleiber, Douglas A

2007-01-01

This article examines the patterns and meanings of innovation in the activities of a group of retirees with an eye toward understanding the place and value of innovation in the aging process. Starting with a consideration of continuity theory, as a perspective that simply describes typical patterns of activity, and activity theory that prescribes expansion of activities as a key to well-being, this article highlights the characteristics, meanings and perceived benefits of a wide variety of innovative activities. The study utilized in-depth semi-structured interviews with a purposive sample of 20 male and female retirees involved in a "Learning and Retirement" program. Innovations that both preserve a sense of self (internal continuity) as well as those that allow one to strike out in entirely new direction are described, and, using a process of constant comparison, their motivational dynamics are explored. Given previous arguments that activity can be indiscriminate and disintegrative in some circumstances, we nevertheless suggest that innovation can be growth producing and liberating, even in later life, while at the same time generally protecting a sense of internal continuity.

Program Facilitates CMMI Appraisals

NASA Technical Reports Server (NTRS)

Sweetser, Wesley

2005-01-01

A computer program has been written to facilitate appraisals according to the methodology of Capability Maturity Model Integration (CMMI). [CMMI is a government/industry standard, maintained by the Software Engineering Institute at Carnegie Mellon University, for objectively assessing the engineering capability and maturity of an organization (especially, an organization that produces software)]. The program assists in preparation for a CMMI appraisal by providing drop-down lists suggesting required artifacts or evidence. It identifies process areas for which similar evidence is required and includes a copy feature that reduces or eliminates repetitive data entry. It generates reports to show the entire framework for reference, the appraisal artifacts to determine readiness for an appraisal, and lists of interviewees and questions to ask them during the appraisal. During an appraisal, the program provides screens for entering observations and ratings, and reviewing evidence provided thus far. Findings concerning strengths and weaknesses can be exported for use in a report or a graphical presentation. The program generates a chart showing capability level ratings of the organization. A context-sensitive Windows help system enables a novice to use the program and learn about the CMMI appraisal process.

SLAM algorithm applied to robotics assistance for navigation in unknown environments

PubMed Central

2010-01-01

Background The combination of robotic tools with assistance technology determines a slightly explored area of applications and advantages for disability or elder people in their daily tasks. Autonomous motorized wheelchair navigation inside an environment, behaviour based control of orthopaedic arms or user's preference learning from a friendly interface are some examples of this new field. In this paper, a Simultaneous Localization and Mapping (SLAM) algorithm is implemented to allow the environmental learning by a mobile robot while its navigation is governed by electromyographic signals. The entire system is part autonomous and part user-decision dependent (semi-autonomous). The environmental learning executed by the SLAM algorithm and the low level behaviour-based reactions of the mobile robot are robotic autonomous tasks, whereas the mobile robot navigation inside an environment is commanded by a Muscle-Computer Interface (MCI). Methods In this paper, a sequential Extended Kalman Filter (EKF) feature-based SLAM algorithm is implemented. The features correspond to lines and corners -concave and convex- of the environment. From the SLAM architecture, a global metric map of the environment is derived. The electromyographic signals that command the robot's movements can be adapted to the patient's disabilities. For mobile robot navigation purposes, five commands were obtained from the MCI: turn to the left, turn to the right, stop, start and exit. A kinematic controller to control the mobile robot was implemented. A low level behavior strategy was also implemented to avoid robot's collisions with the environment and moving agents. Results The entire system was tested in a population of seven volunteers: three elder, two below-elbow amputees and two young normally limbed patients. The experiments were performed within a closed low dynamic environment. Subjects took an average time of 35 minutes to navigate the environment and to learn how to use the MCI. The SLAM results have shown a consistent reconstruction of the environment. The obtained map was stored inside the Muscle-Computer Interface. Conclusions The integration of a highly demanding processing algorithm (SLAM) with a MCI and the communication between both in real time have shown to be consistent and successful. The metric map generated by the mobile robot would allow possible future autonomous navigation without direct control of the user, whose function could be relegated to choose robot destinations. Also, the mobile robot shares the same kinematic model of a motorized wheelchair. This advantage can be exploited for wheelchair autonomous navigation. PMID:20163735

Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center.

PubMed

Cima, Robert R; Brown, Michael J; Hebl, James R; Moore, Robin; Rogers, James C; Kollengode, Anantha; Amstutz, Gwendolyn J; Weisbrod, Cheryl A; Narr, Bradly J; Deschamps, Claude

2011-07-01

Operating rooms (ORs) are resource-intense and costly hospital units. Maximizing OR efficiency is essential to maintaining an economically viable institution. OR efficiency projects often focus on a limited number of ORs or cases. Efforts across an entire OR suite have not been reported. Lean and Six Sigma methodologies were developed in the manufacturing industry to increase efficiency by eliminating non-value-added steps. We applied Lean and Six Sigma methodologies across an entire surgical suite to improve efficiency. A multidisciplinary surgical process improvement team constructed a value stream map of the entire surgical process from the decision for surgery to discharge. Each process step was analyzed in 3 domains, ie, personnel, information processed, and time. Multidisciplinary teams addressed 5 work streams to increase value at each step: minimizing volume variation; streamlining the preoperative process; reducing nonoperative time; eliminating redundant information; and promoting employee engagement. Process improvements were implemented sequentially in surgical specialties. Key performance metrics were collected before and after implementation. Across 3 surgical specialties, process redesign resulted in substantial improvements in on-time starts and reduction in number of cases past 5 pm. Substantial gains were achieved in nonoperative time, staff overtime, and ORs saved. These changes resulted in substantial increases in margin/OR/day. Use of Lean and Six Sigma methodologies increased OR efficiency and financial performance across an entire operating suite. Process mapping, leadership support, staff engagement, and sharing performance metrics are keys to enhancing OR efficiency. The performance gains were substantial, sustainable, positive financially, and transferrable to other specialties. Copyright © 2011 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System

PubMed Central

Katz, Graham; Summers, Kristen; Ackermann, Chris; Zavorin, Ilya; Lim, Zunsik; Muthiah, Sathappan; Butler, Patrick; Self, Nathan; Zhao, Liang; Lu, Chang-Tien; Khandpur, Rupinder Paul; Fayed, Youssef; Ramakrishnan, Naren

2014-01-01

Abstract Developed under the Intelligence Advanced Research Project Activity Open Source Indicators program, Early Model Based Event Recognition using Surrogates (EMBERS) is a large-scale big data analytics system for forecasting significant societal events, such as civil unrest events on the basis of continuous, automated analysis of large volumes of publicly available data. It has been operational since November 2012 and delivers approximately 50 predictions each day for countries of Latin America. EMBERS is built on a streaming, scalable, loosely coupled, shared-nothing architecture using ZeroMQ as its messaging backbone and JSON as its wire data format. It is deployed on Amazon Web Services using an entirely automated deployment process. We describe the architecture of the system, some of the design tradeoffs encountered during development, and specifics of the machine learning models underlying EMBERS. We also present a detailed prospective evaluation of EMBERS in forecasting significant societal events in the past 2 years. PMID:25553271

[Oral and maxillofacial surgery residency training in the United States: what can we learn].

PubMed

Ren, Y F

2017-04-09

China is currently in the process of establishing formal residency training programs in oral and maxillofacial surgery and other medical and dental specialties. Regulatory agencies, and educational and academic institutions in China are exploring mechanisms, goals and standards of residency training that meet the needs of the Chinese healthcare system. This article provides an introduction of residency training in oral and maxillofacial surgery in the United States, with emphasis on the accreditation standard by the Commission on Dental Accreditation. As there are fundamental differences in the medical and dental education systems between China and United States, the training standards in the United States may not be entirely applicable in China. A competency-based training model that focus on overall competencies in medical knowledge, clinical skills and values at the time of graduation should be taken into consideration in a Chinese residency training program in oral and maxillofacial surgery.

Ada education in a software life-cycle context

NASA Technical Reports Server (NTRS)

Clough, Anne J.

1986-01-01

Some of the experience gained from a comprehensive educational program undertaken at The Charles Stark Draper Lab. to introduce the Ada language and to transition modern software engineering technology into the development of Ada and non-Ada applications is described. Initially, a core group, which included manager, engineers and programmers, received training in Ada. An Ada Office was established to assume the major responsibility for training, evaluation, acquisition and benchmarking of tools, and consultation on Ada projects. As a first step in this process, and in-house educational program was undertaken to introduce Ada to the Laboratory. Later, a software engineering course was added to the educational program as the need to address issues spanning the entire software life cycle became evident. Educational efforts to date are summarized, with an emphasis on the educational approach adopted. Finally, lessons learned in administering this program are addressed.

Lay Navigator Model for Impacting Cancer Health Disparities

PubMed Central

Meade, Cathy D.; Wells, Kristen J.; Arevalo, Mariana; Calcano, Ercilia R.; Rivera, Marlene; Sarmiento, Yolanda; Freeman, Harold P; Roetzheim, Richard G.

2014-01-01

This paper recounts experiences, challenges, and lessons learned when implementing a lay patient navigator program to improve cancer care among medically underserved patients who presented in a primary care clinic with a breast or colorectal cancer abnormality. The program employed five lay navigators to navigate 588 patients. Central programmatic elements were: 1) use of bilingual lay navigators with familiarity of communities they served; 2) provision of training, education and supportive activities; 3) multidisciplinary clinical oversight that factored in caseload intensity; and 4) well-developed partnerships with community clinics and social service entities. Deconstruction of health care system information was fundamental to navigation processes. We conclude that a lay model of navigation is well suited to assist patients through complex health care systems; however, a stepped care model that includes both lay and professional navigation may be optimal to help patients across the entire continuum. PMID:24683043

Lay navigator model for impacting cancer health disparities.

PubMed

Meade, Cathy D; Wells, Kristen J; Arevalo, Mariana; Calcano, Ercilia R; Rivera, Marlene; Sarmiento, Yolanda; Freeman, Harold P; Roetzheim, Richard G

2014-09-01

This paper recounts experiences, challenges, and lessons learned when implementing a lay patient navigator program to improve cancer care among medically underserved patients who presented in a primary care clinic with a breast or colorectal cancer abnormality. The program employed five lay navigators to navigate 588 patients. Central programmatic elements were the following: (1) use of bilingual lay navigators with familiarity of communities they served; (2) provision of training, education, and supportive activities; (3) multidisciplinary clinical oversight that factored in caseload intensity; and (4) well-developed partnerships with community clinics and social service entities. Deconstruction of healthcare system information was fundamental to navigation processes. We conclude that a lay model of navigation is well suited to assist patients through complex healthcare systems; however, a stepped care model that includes both lay and professional navigation may be optimal to help patients across the entire continuum.

Setup, Validation and Quality Control of a Centralized WGS laboratory - Lessons Learned.

PubMed

Arnold, Cath; Edwards, Kirstin; Desai, Meeta; Platt, Steve; Green, Jonathan; Conway, David

2018-04-25

Routine use of Whole Genome analysis for infectious diseases can be used to enlighten various scenarios pertaining to Public Health, including identification of microbial pathogens; relating individual cases to an outbreak of infectious disease; establishing an association between an outbreak of food poisoning and a specific food vehicle; inferring drug susceptibility; source tracing of contaminants and study of variations in the genome affect pathogenicity/virulence. We describe the setup, validation and ongoing verification of a centralised WGS laboratory to carry out the sequencing for these public health functions for the National Infection Services, Public Health England in the UK. The performance characteristics and Quality Control metrics measured during validation and verification of the entire end to end process (accuracy, precision, reproducibility and repeatability) are described and include information regarding the automated pass and release of data to service users without intervention. © Crown copyright 2018.

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.

PubMed

Doyle, Andy; Katz, Graham; Summers, Kristen; Ackermann, Chris; Zavorin, Ilya; Lim, Zunsik; Muthiah, Sathappan; Butler, Patrick; Self, Nathan; Zhao, Liang; Lu, Chang-Tien; Khandpur, Rupinder Paul; Fayed, Youssef; Ramakrishnan, Naren

2014-12-01

Developed under the Intelligence Advanced Research Project Activity Open Source Indicators program, Early Model Based Event Recognition using Surrogates (EMBERS) is a large-scale big data analytics system for forecasting significant societal events, such as civil unrest events on the basis of continuous, automated analysis of large volumes of publicly available data. It has been operational since November 2012 and delivers approximately 50 predictions each day for countries of Latin America. EMBERS is built on a streaming, scalable, loosely coupled, shared-nothing architecture using ZeroMQ as its messaging backbone and JSON as its wire data format. It is deployed on Amazon Web Services using an entirely automated deployment process. We describe the architecture of the system, some of the design tradeoffs encountered during development, and specifics of the machine learning models underlying EMBERS. We also present a detailed prospective evaluation of EMBERS in forecasting significant societal events in the past 2 years.

Screening Li-Ion Batteries for Internal Shorts

NASA Technical Reports Server (NTRS)

Darcy, Eric

2006-01-01

The extremely high cost of aerospace battery failures due to internal shorts makes it essential that their occurrence be very rare, if not eliminated altogether. With Li-ion cells/batteries, the potentially catastrophic safety hazard that some internal shorts present adds additional incentive for prevention. Prevention can be achieved by design, manufacturing measures, and testing. Specifically for NASA s spacesuit application, a Li-ion polymer pouch cell battery design is in its final stages of production. One of the 20 flight batteries fabricated and tested developed a cell internal short, which did not present a safety hazard, but has required revisiting the entire manufacturing and testing process. Herein are the details of the failure investigation that followed to get to root cause of the internal short and the corrective actions that will be taken. The resulting lessons learned are applicable to most Li-ion battery applications.

Practicum and clinical experiences: postpracticum students' views.

PubMed

Ralph, Edwin; Walker, Keith; Wimmer, Randolph

2009-08-01

The clinical or practicum component of preservice undergraduate education across all disciplines typically is rated by prebaccalaureate students as the most important phase of their entire professional preparation. This study collected e-mail survey responses from 63 post-practicum nursing students who had just completed their culminating fourth-year clinical course. Students identified the most positive and the most negative aspects of that final practicum experience. These responses were compared with those reported by postpracticum students from the disciplines of engineering and teacher education. The cross-disciplinary similarity of these data related to postpracticum students' perceptions of this experiential learning phase of their preservice professional training was noted. The student voice provides a critical dimension to the program-enhancement process for all professional disciplines, and practicum organizers across the disciplines should value such student input and collaborate to improve the clinical phase of preservice education for all professions. Copyright 2009, SLACK Incorporated.

An Arrival and Departure Time Predictor for Scheduling Communication in Opportunistic IoT

PubMed Central

Pozza, Riccardo; Georgoulas, Stylianos; Moessner, Klaus; Nati, Michele; Gluhak, Alexander; Krco, Srdjan

2016-01-01

In this article, an Arrival and Departure Time Predictor (ADTP) for scheduling communication in opportunistic Internet of Things (IoT) is presented. The proposed algorithm learns about temporal patterns of encounters between IoT devices and predicts future arrival and departure times, therefore future contact durations. By relying on such predictions, a neighbour discovery scheduler is proposed, capable of jointly optimizing discovery latency and power consumption in order to maximize communication time when contacts are expected with high probability and, at the same time, saving power when contacts are expected with low probability. A comprehensive performance evaluation with different sets of synthetic and real world traces shows that ADTP performs favourably with respect to previous state of the art. This prediction framework opens opportunities for transmission planners and schedulers optimizing not only neighbour discovery, but the entire communication process. PMID:27827909

An Arrival and Departure Time Predictor for Scheduling Communication in Opportunistic IoT.

PubMed

Pozza, Riccardo; Georgoulas, Stylianos; Moessner, Klaus; Nati, Michele; Gluhak, Alexander; Krco, Srdjan

2016-11-04

In this article, an Arrival and Departure Time Predictor (ADTP) for scheduling communication in opportunistic Internet of Things (IoT) is presented. The proposed algorithm learns about temporal patterns of encounters between IoT devices and predicts future arrival and departure times, therefore future contact durations. By relying on such predictions, a neighbour discovery scheduler is proposed, capable of jointly optimizing discovery latency and power consumption in order to maximize communication time when contacts are expected with high probability and, at the same time, saving power when contacts are expected with low probability. A comprehensive performance evaluation with different sets of synthetic and real world traces shows that ADTP performs favourably with respect to previous state of the art. This prediction framework opens opportunities for transmission planners and schedulers optimizing not only neighbour discovery, but the entire communication process.

Measuring the development of conceptual understanding in chemistry

NASA Astrophysics Data System (ADS)

Claesgens, Jennifer Marie

The purpose of this dissertation research is to investigate and characterize how students learn chemistry from pre-instruction to deeper understanding of the subject matter in their general chemistry coursework. Based on preliminary work, I believe that students have a general pathway of learning across the "big ideas," or concepts, in chemistry that can be characterized over the course of instruction. My hypothesis is that as students learn chemistry they build from experience and logical reasoning then relate chemistry specific ideas in a pair-wise fashion before making more complete multi-relational links for deeper understanding of the subject matter. This proposed progression of student learning, which starts at Notions, moves to Recognition, and then to Formulation, is described in the ChemQuery Perspectives framework. My research continues the development of ChemQuery, an NSF-funded assessment system that uses a framework of the key ideas in the discipline and criterion-referenced analysis using item response theory (IRT) to map student progress. Specifially, this research investigates the potential for using criterion-referenced analysis to describe and measure how students learn chemistry followed by more detailed task analysis of patterns in student responses found in the data. My research question asks: does IRT work to describe and measure how students learn chemistry and if so, what is discovered about how students learn? Although my findings seem to neither entirely support nor entirely refute the pathway of student understanding proposed in the ChemQuery Perspectives framework. My research does provide an indication of trouble spots. For example, it seems like the pathway from Notions to Recognition is holding but there are difficulties around the transition from Recognition to Formulation that cannot be resolved with this data. Nevertheless, this research has produced the following, which has contributed to the development of the ChemQuery assessment system, (a) 13 new change items with good fits, 3 new change items that need further study, (b) a refined scoring guide and (c) a set of item exemplars that can then be developed further into a computer-adapted model so that more data can be captured.

Acute, low-dose methamphetamine administration improves attention/information processing speed and working memory in methamphetamine-dependent individuals displaying poorer cognitive performance at baseline

PubMed Central

Mahoney, James J.; Jackson, Brian J.; Kalechstein, Ari D.; De La Garza, Richard; Newton, Thomas F.

2012-01-01

Abstinent methamphetamine (Meth) dependent individuals demonstrate poorer performance on tests sensitive to attention/information processing speed, learning and memory, and working memory when compared to non-Meth dependent individuals. The poorer performance on these tests may contribute to the morbidity associated with Meth-dependence. In light of this, we sought to determine the effects of acute, low-dose Meth administration on attention, working memory, and verbal learning and memory in 19 non-treatment seeking, Meth-dependent individuals. Participants were predominantly male (89%), Caucasian (63%), and cigarette smokers (63%). Following a four day, drug-free washout period, participants were given a single-blind intravenous infusion of saline, followed the next day by 30 mg of Meth. A battery of neurocognitive tasks was administered before and after each infusion, and performance on measures of accuracy and reaction time were compared between conditions. While acute Meth exposure did not affect test performance for the entire sample, participants who demonstrated relatively poor performance on these tests at baseline, identified using a median split on each test, showed significant improvement on measures of attention/information processing speed and working memory when administered Meth. Improved performance was seen on the following measures of working memory: choice reaction time task (p≤0.04), a 1-back task (p≤0.01), and a 2-back task (p≤0.04). In addition, those participants demonstrating high neurocognitive performance at baseline experienced similar or decreased performance following Meth exposure. These findings suggest that acute administration of Meth may temporarily improve Meth-associated neurocognitive performance in those individuals experiencing lower cognitive performance at baseline. As a result, stimulants may serve as a successful treatment for improving cognitive functioning in those Meth-dependent individuals experiencing neurocognitive impairment. PMID:21122811

Jupyter Notebooks for Earth Sciences: An Interactive Training Platform for Seismology

NASA Astrophysics Data System (ADS)

Igel, H.; Chow, B.; Donner, S.; Krischer, L.; van Driel, M.; Tape, C.

2017-12-01

We have initiated a community platform (http://www.seismo-live.org) where Python-based Jupyter notebooks (https://jupyter.org) can be accessed and run without necessary downloads or local software installations. The increasingly popular Jupyter notebooks allow the combination of markup language, graphics, and equations with interactive, executable Python code examples. Jupyter notebooks are a powerful and easy-to-grasp tool for students to develop entire projects, scientists to collaborate and efficiently interchange evolving workflows, and trainers to develop efficient practical material. Utilizing the tmpnb project (https://github.com/jupyter/tmpnb), we link the power of Jupyter notebooks with an underlying server, such that notebooks can be run from anywhere, even on smart phones. We demonstrate the potential with notebooks for 1) learning the programming language Python, 2) basic signal processing, 3) an introduction to the ObsPy library (https://obspy.org) for seismology, 4) seismic noise analysis, 5) an entire suite of notebooks for computational seismology (the finite-difference method, pseudospectral methods, finite/spectral element methods, the finite-volume and the discontinuous Galerkin methods, Instaseis), 6) rotational seismology, 7) making results in papers fully reproducible, 8) a rate-and-state friction toolkit, 9) glacial seismology. The platform is run as a community project using Github. Submission of complementary Jupyter notebooks is encouraged. Extension in the near future include linear(-ized) and nonlinear inverse problems.

Learning during processing Word learning doesn’t wait for word recognition to finish

PubMed Central

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

A Tyrosine-Hydroxylase Characterization of Dopaminergic Neurons in the Honey Bee Brain

PubMed Central

Tedjakumala, Stevanus R.; Rouquette, Jacques; Boizeau, Marie-Laure; Mesce, Karen A.; Hotier, Lucie; Massou, Isabelle; Giurfa, Martin

2017-01-01

Dopamine (DA) plays a fundamental role in insect behavior as it acts both as a general modulator of behavior and as a value system in associative learning where it mediates the reinforcing properties of unconditioned stimuli (US). Here we aimed at characterizing the dopaminergic neurons in the central nervous system of the honey bee, an insect that serves as an established model for the study of learning and memory. We used tyrosine hydroxylase (TH) immunoreactivity (ir) to ensure that the neurons detected synthesize DA endogenously. We found three main dopaminergic clusters, C1–C3, which had been previously described; the C1 cluster is located in a small region adjacent to the esophagus (ES) and the antennal lobe (AL); the C2 cluster is situated above the C1 cluster, between the AL and the vertical lobe (VL) of the mushroom body (MB); the C3 cluster is located below the calyces (CA) of the MB. In addition, we found a novel dopaminergic cluster, C4, located above the dorsomedial border of the lobula, which innervates the visual neuropils of the bee brain. Additional smaller processes and clusters were found and are described. The profuse dopaminergic innervation of the entire bee brain and the specific connectivity of DA neurons, with visual, olfactory and gustatory circuits, provide a foundation for a deeper understanding of how these sensory modules are modulated by DA, and the DA-dependent value-based associations that occur during associative learning. PMID:28740466

Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning.

PubMed

McDougle, Samuel D; Bond, Krista M; Taylor, Jordan A

2015-07-01

A popular model of human sensorimotor learning suggests that a fast process and a slow process work in parallel to produce the canonical learning curve (Smith et al., 2006). Recent evidence supports the subdivision of sensorimotor learning into explicit and implicit processes that simultaneously subserve task performance (Taylor et al., 2014). We set out to test whether these two accounts of learning processes are homologous. Using a recently developed method to assay explicit and implicit learning directly in a sensorimotor task, along with a computational modeling analysis, we show that the fast process closely resembles explicit learning and the slow process approximates implicit learning. In addition, we provide evidence for a subdivision of the slow/implicit process into distinct manifestations of motor memory. We conclude that the two-state model of motor learning is a close approximation of sensorimotor learning, but it is unable to describe adequately the various implicit learning operations that forge the learning curve. Our results suggest that a wider net be cast in the search for the putative psychological mechanisms and neural substrates underlying the multiplicity of processes involved in motor learning. Copyright © 2015 the authors 0270-6474/15/359568-12$15.00/0.

Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning

PubMed Central

Bond, Krista M.; Taylor, Jordan A.

2015-01-01

A popular model of human sensorimotor learning suggests that a fast process and a slow process work in parallel to produce the canonical learning curve (Smith et al., 2006). Recent evidence supports the subdivision of sensorimotor learning into explicit and implicit processes that simultaneously subserve task performance (Taylor et al., 2014). We set out to test whether these two accounts of learning processes are homologous. Using a recently developed method to assay explicit and implicit learning directly in a sensorimotor task, along with a computational modeling analysis, we show that the fast process closely resembles explicit learning and the slow process approximates implicit learning. In addition, we provide evidence for a subdivision of the slow/implicit process into distinct manifestations of motor memory. We conclude that the two-state model of motor learning is a close approximation of sensorimotor learning, but it is unable to describe adequately the various implicit learning operations that forge the learning curve. Our results suggest that a wider net be cast in the search for the putative psychological mechanisms and neural substrates underlying the multiplicity of processes involved in motor learning. PMID:26134640

Access NASA Satellite Global Precipitation Data Visualization on YouTube

NASA Technical Reports Server (NTRS)

Liu, Z.; Su, J.; Acker, J.; Huffman, G.; Vollmer, B.; Wei, J.; Meyer, D.

2017-01-01

Since the satellite era began, NASA has collected a large volume of Earth science observations for research and applications around the world. The collected and archived satellite data at 12 NASA data centers can also be used for STEM education and activities such as disaster events, climate change, etc. However, accessing satellite data can be a daunting task for non-professional users such as teachers and students because of unfamiliarity of terminology, disciplines, data formats, data structures, computing resources, processing software, programming languages, etc. Over the years, many efforts including tools, training classes, and tutorials have been developed to improve satellite data access for users, but barriers still exist for non-professionals. In this presentation, we will present our latest activity that uses a very popular online video sharing Web site, YouTube (https://www.youtube.com/), for accessing visualizations of our global precipitation datasets at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). With YouTube, users can access and visualize a large volume of satellite data without the necessity to learn new software or download data. The dataset in this activity is a one-month animation for the GPM (Global Precipitation Measurement) Integrated Multi-satellite Retrievals for GPM (IMERG). IMERG provides precipitation on a near-global (60 deg. N-S) coverage at half-hourly time interval, providing more details on precipitation processes and development compared to the 3-hourly TRMM (Tropical Rainfall Measuring Mission) Multisatellite Precipitation Analysis (TMPA, 3B42) product. When the retro-processing of IMERG during the TRMM era is finished in 2018, the entire video will contain more than 330,000 files and will last 3.6 hours. Future plans include development of flyover videos for orbital data for an entire satellite mission or project. All videos, including the one-month animation, will be uploaded and available at the GES DISC site on YouTube (https://www.youtube.com/user/NASAGESDISC).

A Multi-Faceted Approach to Inquiry-Based Learning

NASA Astrophysics Data System (ADS)

Brudzinski, M. R.; Sikorski, J.

2009-12-01

In order to fully attain the benefits of inquiry-based learning, instructors who typically employ the traditional lecture format need to make several adjustments to their approach. This change in styles can be intimidating and logistically difficult to overcome. A stepwise approach to this transformation is likely to be more manageable for individual faculty or departments. In this session, we will describe several features that we are implementing in our introductory geology course with the ultimate goal of converting to an entirely inquiry-based approach. Our project is part of the Miami University initiative in the top 25 enrolled courses to move towards the “student as scholar” model for engaged learning. Some of the features we developed for our course include: student learning outcomes, student development outcomes, out-of-class content quizzes, in-class conceptests, pre-/post-course assessment, reflective knowledge surveys, and daily group activities.

Educators' evaluations of children's ideas on the social exclusion of classmates with intellectual and learning disabilities.

PubMed

Nowicki, Elizabeth A; Brown, Jason D; Dare, Lynn

2018-01-01

Reasons underlying the social exclusion of children with intellectual or learning disabilities are not entirely understood. Although it is important to heed the voices of children on this issue, it is also important to consider the degree to which these ideas are informed. The present authors invited educators to evaluate the content of children's ideas on the causes of social exclusion. Educators thematically sorted and rated children's ideas on why classmates with intellectual or learning disabilities are socially excluded. Sorted data were analysed with multidimensional scaling and hierarchical cluster analysis. Six thematic clusters were identified differing in content to those provided by children in an earlier study. Educators generally rated children's ideas as showing somewhat uninformed ideas about why social exclusion occurs. Educators indicated that children need to be better informed about intellectual and learning disabilities. Limitations and implications are discussed. © 2017 John Wiley & Sons Ltd.

The development of a questionnaire to measure students' motivation towards science learning

NASA Astrophysics Data System (ADS)

Tuan, Hsiao-Lin; Chin, Chi-Chin; Shieh, Shyang-Horng

2005-06-01

The purpose of this study was to develop a questionnaire that measures students' motivation toward science learning (SMTSL). Six scales were developed: self-efficacy, active learning strategies, science learning value, performance goal, achievement goal, and learning environment stimulation. In total, 1407 junior high school students from central Taiwan, varying in grades, sex, and achievements, were selected by stratified random sampling to respond to the questionnaire. The Cronbach alpha for the entire questionnaire was 0.89; for each scale, alpha ranged from 0.70 to 0.89. There were significant correlations (p?<?0.01) of the SMTSL questionnaire with students' science attitudes (r?=?0.41), and with the science achievement test in previous and current semesters (rp?=?0.40 and rc?=?0.41). High motivators and low motivators showed a significant difference (p?<?0.01) on their SMTSL scores. Findings of the study confirmed the validity and reliability of the SMTSL questionnaire. Implications for using the SMTSL questionnaire in research and in class are discussed in the paper.

The Potential for Double-Loop Learning to Enable Landscape Conservation Efforts

NASA Astrophysics Data System (ADS)

Petersen, Brian; Montambault, Jensen; Koopman, Marni

2014-10-01

As conservation increases its emphasis on implementing change at landscape-level scales, multi-agency, cross-boundary, and multi-stakeholder networks become more important. These elements complicate traditional notions of learning. To investigate this further, we examined structures of learning in the Landscape Conservation Cooperatives (LCCs), which include the entire US and its territories, as well as parts of Canada, Mexico, and Caribbean and Pacific island states. We used semi-structured interviews, transcribed and analyzed using NVivo, as well as a charrette-style workshop to understand the difference between the original stated goals of individual LCCs and the values and purposes expressed as the collaboration matured. We suggest double-loop learning as a theoretical framework appropriate to landscape-scale conservation, recognizing that concerns about accountability are among the valid points of view that must be considered in multi-stakeholder collaborations. Methods from the social sciences and public health sectors provide insights on how such learning might be actualized.

Teaching students in place: the languages of third space learning

NASA Astrophysics Data System (ADS)

Morawski, Cynthia M.

2017-09-01

With a perceptive eye cast on geoscience pedagogy for students labeled as disabled, Martinez-Álvarez makes important contributions to the existing conversation on placed-based learning. It is in our local backyards, from the corner basketball court, to the mud bank of a city lake, to the adjacent field where rocky outcrops spill down to a forgotten farmer's field, that we find rich working material for connecting self and community, moving students' out-of-school experiences that feature their cultural and linguistic knowledge, from misconceptions to "alternative conceptions." Informed by her insights regarding the learning of students whose literacy does not match conventional classroom practice, geoscience learning in the place of third space can act as a model of meaning making across the entire curriculum. In the pages that follow, I transact, both aesthetically and efferently, with Martinez-Álvarez's text as she presents her research on special ways of learning in placed-based geoscience explorations with bilingual children experiencing disabilities.

"You cannot perform music without taking care of your body": a qualitative study on musicians' representation of body and health.

PubMed

Schoeb, Veronika; Zosso, Amélie

2012-09-01

To identify professional musicians' representation of health and illness and to identify its perceived impact on musical performance. A total of 11 professional musicians participated in this phenomenological study. Five of the musicians were healthy, and the others suffered debilitating physical health problems caused by playing their instruments. Semi-structured interviews were conducted, transcribed verbatim and analysed. Thematic analysis, including a six-step coding process, was performed (ATLAS-ti 6). Three major themes emerged from the data: music as art, the health of musicians, and learning through experience. The first theme, music as art, was discussed by both groups; they talked about such things as passion, joy, sense of identity, sensitivity, and a musician's hard life. Discussions of the second theme, the health of musicians, revealed a complex link between health and performance, including the dramatic impact of potential or actual health problems on musical careers. Not surprisingly, musicians with health problems were more concerned with dysfunctional body parts (mostly the hand), whereas healthy musicians focused on maintaining the health of the entire person. The third theme, learning through experience, focused on the dynamic nature of health and included the life-long learning approach, not only in terms of using the body in musical performance but also in daily life. The centre of a musician's life is making music in which the body plays an important part. Participants in this study evidenced a complex link between health and musical performance, and maintaining health was perceived by these musicians as a dynamic balance. Our results suggest that learning through experience might help musicians adapt to changes related to their bodies.

Whatever the Change, Count It All Joy!

ERIC Educational Resources Information Center

Watts, Charlotte

2011-01-01

Jewel's Learning Center won the honor of being the first center to win an Extreme Makeover, courtesy of "Exchange" magazine and its partners! The author was over the top! Not only were they getting a new playground, but all new furnishings and toys for the entire center! Wow! It really happened! Changes just keep coming and coming. They have made…

Quality Authorizing for Online and Blended-Learning Charter Schools. NACSA Monograph

ERIC Educational Resources Information Center

Watson, John; Rapp, Chris

2011-01-01

Online charter schools are one key subset of the K-12 online education landscape, which also includes state virtual schools, district-level online programs, private providers of both individual courses and entire schools, and others. As of late 2010, online and blended charter schools existed in more than 20 states, serving more than 100,000…

Vygotsky on Imagination: Why an Understanding of the Imagination Is an Important Issue for Schoolteachers

ERIC Educational Resources Information Center

Gajdamaschko, Natalia

2005-01-01

Lev Vygotsky was an educational theorist and psychologist of extraordinarily wide knowledge whose major writings deal with the entire learning-teaching-development enterprise. Despite wide-ranging interests towards Vygotskian theory, the issue of imagination remains outside of the main line of the general inquiries. Thus there is a gap in that…

Honoring a Classmate through Art

ERIC Educational Resources Information Center

Power, Tracey

2007-01-01

When a student passes away it is difficult for the entire school community. Teachers, students, and staff all feel a sense of loss and the need to do something to mitigate that feeling. Desiring a different kind of memorial, the author wanted her students to learn that they could use art to help others, as well as themselves. The author came up…

The Effect of Teaching the Entire Academic Year of High School Chemistry Utilizing Abstract Reasoning

ERIC Educational Resources Information Center

Page, Michael F. Z.; Escott, Patrick; Silva, Maritza; Barding, Gregory A., Jr.

2018-01-01

This case study demonstrates the ability of high school chemistry students, with varying levels of math preparation, to experience learning-gains on state and district assessments as it relates to chemical reactions, thermodynamics, and kinetics. These advances were predicated on the use of a teaching style rooted in abstract reasoning. The…

Strategic Management of Human Capital in Education: Improving Instructional Practice and Student Learning in Schools

ERIC Educational Resources Information Center

Odden, Allan R.

2011-01-01

"Strategic Management of Human Capital in Education" offers a comprehensive and strategic approach to address what has become labeled as "talent and human capital." Grounded in extensive research and examples of leading edge districts, this book shows how the entire human resource system in schools--from recruitment, to selection/placement,…

JPRS Report, East Europe.

DTIC Science & Technology

1988-05-25

eliminated from economic life by every means for entire decades. Therefore, a decisive majority of decisionmakers and manufacturers must learn it nearly...Administrative Reforms Explained 21 Political, Economic Needs Interfere With Nomenklatura Practices 22 Kalisz, Stavropol TU’s, Industries Cooperation Noted...24 Enterprises Criticized for Not Controlling Wage Increases 24 PZPR Voivodship Plenum Views Unemployment, Production Levels 25 Economic System

Digital Learning in Higher Education: A Training Course for Teaching Online--Universidade Aberta, Portugal

ERIC Educational Resources Information Center

Moreira, José António; José António, Susana; Goulão, Maria de Fátima; Barros, Daniela

2017-01-01

This paper uses qualitative evidence to describe, explore and discuss the progress of the online teaching training course taught at the Universidade Aberta to Portuguese and foreign professors of higher education institutions. As this is an entirely online course, its pedagogical design results from the combination of the basics of open distance…

Activities for Teaching about Aging: Primary and Intermediate Grades.

ERIC Educational Resources Information Center

Atwood, H. Mason, Ed.

Over 350 activities are suggested for primary and intermediate grade students to learn about aging and older adults. They have been designed for with use with already existing curricula, so that teachers will not feel a need to plan an entire unit on aging. Interdisciplinary in nature, the activities are listed according to the subject areas for…

Inquiry and Industry Inspired Laboratories: The Impact on Students' Perceptions of Skill Development and Engagements

ERIC Educational Resources Information Center

George-Williams, Stephen R.; Soo, Jue T.; Ziebell, Angela L.; Thompson, Christopher D.; Overton, Tina L.

2018-01-01

Many examples exist in the chemical education literature of individual experiments, whole courses or even entire year levels that have been completely renewed under the tenets of context-based, inquiry-based or problem-based learning. The benefits of these changes are well documented and include higher student engagement, broader skill development…

Water in Fire Control--Basic Training Course.

ERIC Educational Resources Information Center

Forest Service (USDA), Washington, DC.

Prepared by a team of fire control officers, the training guide is designed to help fire crewmen learn the fundamentals of water use. The entire package can be used for a complete course or individual lessons and can be adapted to specific training needs. Throughout the guide, emphasis is placed on one primary training objective, performance in…

Behavioral Interventions to Address Sleep Disturbances in Children with Autism Spectrum Disorders: A Review

ERIC Educational Resources Information Center

Turner, Kylan S.; Johnson, Cynthia R.

2013-01-01

Sleep problems are a common occurrence among children with autism spectrum disorders (ASD). In addition to the adverse effects that sleep problems present for children's neurodevelopment, learning, and daytime behaviors, these sleep problems also present significant challenges for the entire family. This article outlines the results of a…

Teaching Students about the Financial Crisis through Best-Selling Books

ERIC Educational Resources Information Center

Stowe, Kristin; Schwartz, Lisa A.

2014-01-01

The 2007-2009 financial crisis was such a momentous time that entire business courses could be devoted to its study. While some schools may undertake that task, this paper discusses ways in which students may learn about the crisis as part of an established course in economics or finance departments. Popular press books are highlighted, and…

An Experiential Learning Perspective on Students' Satisfaction Model in a Flipped Classroom Context

ERIC Educational Resources Information Center

Zhai, Xuesong; Gu, Jibao; Liu, Hefu; Liang, Jyh-Chong; Tsai, Chin-Chung

2017-01-01

Recent years have witnessed an increasing interest in the flipped classroom model, and many flipped programs have been funded and implemented to explore the effectiveness of this new model. However, previous studies centering on comparative assessment have indicated that it is not always entirely successful in terms of promoting students'…

Comprehensive Child-Oriented Preventive Resilience Program in Israel Based on Lessons Learned from Communities Exposed to War, Terrorism and Disaster

ERIC Educational Resources Information Center

Hamiel, Daniel; Wolmer, Leo; Spirman, Smadar; Laor, Nathaniel

2013-01-01

Background: Coping with mass emergencies and disasters has become a growing challenge for children, adults and entire communities. Among the population groups affected by disaster, children are particularly vulnerable. Responsible disaster intervention requires both top-down and bottom-up preparation that endorses an ecological perspective, taking…

"It's Okay to Laugh, Right?": Toward a Pedagogy of Racial Comedy in Multicultural Education

ERIC Educational Resources Information Center

Fulmer, Ellie Fitts; Makepeace, Nia Nunn

2015-01-01

While humor has long been documented as a useful teaching tool, it is almost entirely untheorized in terms of its potential for multicultural education. Specifically, the learning opportunities that racial comedic media offer in multicultural and anti-racist coursework is a particularly under-studied area, while research in this vein has great…

Teaching as an Act of Problem-Posing: A Collective Call to Action

ERIC Educational Resources Information Center

Cacicio, Sarah; Le, Uyen Uyen

2014-01-01

Without a doubt, the movement toward corporatized, standardized, and even sanitized education models in K-12 education impacts the way students at the higher education level view teaching and learning. New York City public school teachers have been trained to focus entirely on measurable outcomes. Writing is taught as a well-structured paragraph…

Technology Tips: Simulation with the TI-Nspire

ERIC Educational Resources Information Center

Rudolph, Heidi J.

2009-01-01

Simulation is an important learning tool that allows students to grasp probability concepts, especially when the actual scenario does not need to be replicated entirely. In the cases of tossing coins and rolling dice, gathering the data before analyzing them can be laborious and might be a waste of precious class time--time that might be better…

Early Literacy Teacher Preparation: One University's Perspective

ERIC Educational Resources Information Center

Berenato, Carolyn; Severino, Lori

2017-01-01

Colleges and universities can have an impact on the entire field of education when preparing teachers for one of the most challenging part of the job: teaching literacy. When teachers are properly trained and have a toolbox of strategies and teaching techniques to use, they can have a tremendous impact on student learning. In teacher preparation…

Creating a Positive School Climate at the Junior High Level.

ERIC Educational Resources Information Center

Licata, Vincent F.

One of the seven correlates of an effective school, as identified by the Effective Schools Research, is a positive school climate: a positive attitude on the part of the entire staff and student body exhibited through overt behavior that creates a warm, orderly learning environment. Development of such an environment depends upon: (1) strong…

Testing with Feedback Yields Potent, but Piecewise, Learning of History and Biology Facts

ERIC Educational Resources Information Center

Pan, Steven C.; Gopal, Arpita; Rickard, Timothy C.

2016-01-01

Does correctly answering a test question about a multiterm fact enhance memory for the entire fact? We explored that issue in 4 experiments. Subjects first studied Advanced Placement History or Biology facts. Half of those facts were then restudied, whereas the remainder were tested using "5 W" (i.e., "who, what, when, where",…

SOCIAL DIALECTS AND LANGUAGE LEARNING, PROCEEDINGS OF THE BLOOMINGTON, INDIANA, CONFERENCE.

ERIC Educational Resources Information Center

DAVIS, ALVA L.; AND OTHERS

A CONFERENCE WAS HELD ON AUGUST 3-5, 1964 TO BRING TOGETHER SCHOLARS IN DIALECTOLOGY AND RELATED FIELDS. THE ENTIRE CONFERENCE WAS TAPE RECORDED AND A TYPESCRIPT MADE. THE CONTENTS OF THE REPORT ENCOMPASS BOTH THE PANEL PAPERS PRESENTED AND DISCUSSIONS ON (1) SOCIAL DIALECTOLOGY, (2) FIELD PROJECTS, (3) SCHOOL AND COLLEGE TEACHING PROGRAMS, (4)…

First Year Student Development: Students' Perceptions of Growth and Contributing Factors

ERIC Educational Resources Information Center

Holbrook, Catherine B.

2012-01-01

The first year of college is critically important to student success, often shaping the amount and nature of growth and learning over the entire collegiate career in complex and profound ways. For this reason, higher education experts have called for colleges and universities to establish integrated, intentional programs for new students with…

Increasing Student Success in STEM: Summary of a Guide to Systemic Institutional Change

ERIC Educational Resources Information Center

Elrod, Susan; Kezar, Adrianna

2017-01-01

For the past 20 years, numerous reports have called for change and reform of undergraduate education to improve student learning, persistence, and graduation rates for students in STEM. Many change efforts have been started but few have reached the transformational level of entire programs, departments, or colleges in the STEM disciplines. In…

Site-Based Management in Education: Rochester City School District Case Study.

ERIC Educational Resources Information Center

Gross, Alan

This paper describes outcomes of a partnership between the Rochester City School District (New York) and the Kodak 21st Century Learning Challenge consulting program for improving school-based planning team (S-BPT) operations. The purpose of the school-based planning team is to involve the entire school community in improving school effectiveness.…

The Impact of Standards-Based Reform in Duval County, Florida: 1999-2002

ERIC Educational Resources Information Center

Supovitz, Jonathan A.; Taylor, Brooke Snyder

2003-01-01

The major challenge that school districts face is to improve the learning of all students, not just in individual schools, but across the entire system of schools. Duval County, Florida has embarked on a remarkable journey to implement standards-based reform in schools throughout the district with the intent to systematically improve teaching and…

Productive Learning: Science, Art, and Einstein's Relativity in Educational Reform

ERIC Educational Resources Information Center

Glazek, Stanislaw D.; Sarason, Seymour B.

2006-01-01

Why do people, college-bound or even in college, stay away in droves from courses in science, especially physics? Why do people know so little about the significance of Einstein's contributions which require dramatic changes in how we understand ourselves, our world, and the entire universe? Why have educational reforms failed? In this book, two…

Examining Online College Cyber Cheating Methods and Prevention Measures

ERIC Educational Resources Information Center

Moten, James, Jr.; Fitterer, Alex; Brazier, Elise; Leonard, Jonathan; Brown, Avis

2013-01-01

Academic dishonesty in the online cheating environment of distance education learning has gained traction in the past decade. By a few simple keystrokes, students' can find a wide array of online services for hire to write research papers, complete homework assignments, or enroll on behalf of the student on record to take the entire online…

Evaluating the Relevance of Educational Videos Using BKT and Big Data

ERIC Educational Resources Information Center

MacHardy, Zachary; Pardos, Zachary A.

2015-01-01

Along with the advent of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to grow in relation to that of traditional on-campus instruction. Rather than tackle the problem of evaluating large educational units such as entire online courses, this paper approaches a smaller problem: exploring…

Perceptions and Practices of Adapted Physical Educators on the Teaching of Social Skills

ERIC Educational Resources Information Center

Samalot-Rivera, Amaury; Porretta, David L.

2009-01-01

The purpose of this study was to determine adapted physical educators' perceptions and practices about teaching social skills to students with disabilities. A questionnaire based on Bandura's social learning theory concept of modeling was developed and mailed to an entire frame of 426 adapted physical education teachers in the state of Ohio. Face…

Good CoP: What Makes a Community of Practice Successful?

ERIC Educational Resources Information Center

Baker, Anthony; Beames, Stephanie

2016-01-01

We have established a community of practice focussed on student learning in first-year science. It is recognised that transition, whether from school to university or other possible transitions, is an issue that is a concern for the entire sector, and this is acknowledged both at Faculty and University level. One of the factors to which we…

Educational Change in Oman: A Design Research Study of Personal, Institutional, and Societal Reactions to Collaborative Knowledge Building

ERIC Educational Resources Information Center

Porcaro, David S.

2014-01-01

While collaborative problem-solving has been suggested as a solution for linking classroom learning with workforce skills, it is still not entirely clear how personal, institutional, and national factors work together to influence student and teacher acceptance of this pedagogical strategy. Oman provides an appropriate case for exploring this…

Supporting the Literacy Development of Students Who Are Deaf/Hard of Hearing in Inclusive Classrooms

ERIC Educational Resources Information Center

Dostal, Hannah; Gabriel, Rachael; Weir, Joan

2017-01-01

Students who are deaf or hard of hearing present unique opportunities and challenges for literacy instruction in mainstream classrooms. By addressing the specific needs of this diverse student community, teachers are given the chance to sharpen instruction and create learning opportunities for the entire class. The authors discuss two…

Turning around Low-Performing Private Universities in China: A Perspective of Organisational Ecology

ERIC Educational Resources Information Center

Li, Xiaofan

2012-01-01

While China has a long history of private institutions of higher learning, they disappeared almost entirely after the founding of the People's Republic of China in 1949 and did not re-emerge until the 1980s. Their reappearance is one of the ramifications of economic marketisation and privatisation in China. But private higher education…

A Meta-Analysis of Class-Wide Interventions for Supporting Student Behavior

ERIC Educational Resources Information Center

Chaffee, Ruth K.; Briesch, Amy M.; Johnson, Austin H.; Volpe, Robert J.

2017-01-01

Off-task and disruptive classroom behavior impedes the learning of the children emitting these behaviors as well as the delivery of instruction to the entire class, which may lead to decreased academic achievement and more severe behavior problems. A meta-analysis of the single-case literature was conducted to understand the effectiveness of…

Do Ubiquitous Laptop Initiatives Decrease the High School Dropout Rate?

ERIC Educational Resources Information Center

Basham, Misty Dawn

2012-01-01

In 2007, Mooresville Graded School District developed a strategic plan to infuse twenty-first-century learning skills into the schools by providing staff and students in grades four through twelve with a laptop computer. In late fall of 2007, Mooresville High School deployed laptops to all certified staff and to the entire student body in the…

Reflective Course Construction: An Analysis of Student Feedback and Its Role in Curricular Design

ERIC Educational Resources Information Center

Mitchell, Erik

2013-01-01

This study uses formal and informal student feedback as a source for understanding the impact of experimental course elements. Responses were used to develop a codebook, which was then applied to the entire dataset. The results inform our understanding of student's conceptions of professional identity, learning styles and curriculum design.…

Learning from a Moonshot: What's Next for College Summer Reading?

ERIC Educational Resources Information Center

Strong, Alexandra Coso; Lynch, Caitrin

2018-01-01

Each year, colleges around the nation select a common reading book for their incoming students or, in the case of Olin College of Engineering, for the entire college community. In 2017, the institution selected "Hidden Figures" as a reading meant to provide a common intellectual experience, illustrate the vigor and breadth of the…

The S-Star Trial Bioinformatics Course: An On-line Learning Success

ERIC Educational Resources Information Center

Lim, Yun Ping; Hoog, Jan-Olov; Gardner, Phyllis; Ranganathan, Shoba; Andersson, Siv; Subbiah, Subramanian; Tan, Tin Wee; Hide, Winston; Weiss, Anthony S.

2003-01-01

The S-Star Trial Bioinformatics on-line course (www.s-star.org) is a global experiment in bioinformatics distance education. Six universities from five continents have participated in this project. One hundred and fifty students participated in the first trial course of which 96 followed through the entire course and 70 fulfilled the overall…

Power up Your Professional Learning

ERIC Educational Resources Information Center

LaGarde, Jennifer; Whitehead, Tiffany

2012-01-01

The school library can be a lonely place. These days, tight budgets and fiscal shortfalls have created a new breed of solo librarians--a group of educators who not only have to do more with less, but who, increasingly, also have to do it all alone. Some school librarians are even serving multiple schools or entire districts--juggling it all just…