Golos, Debbie B.; Moses, Annie M.
With the increase in research on multiliteracies comes greater interest in exploring multiple pathways of learning for deaf children. Educational media have been increasingly examined as a tool for facilitating the development of deaf children's language and literacy skills. The authors investigated whether preschool deaf children (N = 31)…
Armour, J.; Deakin, S.; Mollica, V.; Siems, M.M.
The legal origins hypothesis is one of the most important and influential ideas to emerge in the social sciences in the past decade. However, the empirical base of the legal origins claim has always been contestable, as it largely consists of cross-sectional datasets which provide evidence on the state of the law only at limited points in time. There is now a growing body of data derived from techniques for coding cross-national legal variation over time. This time-series evidence is reviewed...
Center for the Study of Mathematics Curriculum, 2012
In 2009-10 a series of Workshops was organized to focus on STEM (science, technology, engineering, and mathematics) learning design for young students and adolescents. The objective was to provide visionary leadership to the education community by: (a) identifying and analyzing the needs and opportunities for future STEM curriculum development and…
Baydogan, Mustafa Gokce
Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…
Hu, Jinyan; Liu, Zhongxia; Li, Yuanyuan; Lu, Jianheng; Zhang, Lili
Currently, the construction of information technology textbooks in the primary and middle schools is an important content of the information technology curriculum reform. The article expect to have any inspire and reference on inland China school information technology teaching material construction and development through the analyzing and refining the characteristics of the Hong Kong quality textbook series - "I learn . elementary school computer cognitive curriculum".
Baldwin, Harriet; Ross-Larson, Bruce, Ed.
This World Bank (Washington, D.C.) kit is a case study designed to teach secondary school social studies students about an integrated rural development project in Mexico, and how it is helping to raise the standard of living for six million Mexicans in 131 microregions throughout Mexico. The kit contains a pamphlet, a booklet, a sound filmstrip,…
The Garment Industry Development Corporation (GIDC) was founded in 1984 by a 3-member partnership that included the local union, industry associations, and local government. GIDC's goal was to support New York City's garment industry, which had been steadily losing jobs. GIDC exhibits the following characteristics of sectoral initiatives: it…
The activities in this instructional resource book are designed to be used by gifted 4-8th grade students as independent research guides or in guided or cooperative learning environments. The activities are organized in three sections which focus the ancient civilizations of Egypt, Maya, and Minoa. The activities presented encourage development of…
Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J., E-mail: firstname.lastname@example.org [University Chemical Laboratories, Lensfield Road, Cambridge CB2 1EW (United Kingdom)
Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.
Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J.
Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.
Bosch, Andrea; Crespo, Cecilia
In 1993, Bolivia was selected as a site to pilot an interactive radio instruction (IRI) project that would provide practical support to adult caregivers and children around early childhood development. Through linkages with health and education networks, PIDI (Programa Integral de Desarrollo Infantil) provided young children under the age of six…
Commission of the European Communities, Brussels (Belgium). Directorate-General for Education and Culture.
This brochure, part of a series about good practices in vocational training in the European Union, describes 12 projects that use distance learning to promote lifelong learning in adults. The projects and their countries of origin are as follows: (1) 3D Project, training in the use of IT tools for 3D simulation and animation and practical…
Levine, Peter; Kawashima-Ginsberg, Kei
This report proposes that the turn toward deeper learning in education reform should go hand in hand with a renewed emphasis on high-quality civics education. Not only does deeper learning have great potential to promote civic outcomes and strengthen our democracy but, at the same time, civic education exemplifies deeper learning, in that it…
Moradabadi, Behnaz; Meybodi, Mohammad Reza
Link prediction is a main social network challenge that uses the network structure to predict future links. The common link prediction approaches to predict hidden links use a static graph representation where a snapshot of the network is analyzed to find hidden or future links. For example, similarity metric based link predictions are a common traditional approach that calculates the similarity metric for each non-connected link and sort the links based on their similarity metrics and label the links with higher similarity scores as the future links. Because people activities in social networks are dynamic and uncertainty, and the structure of the networks changes over time, using deterministic graphs for modeling and analysis of the social network may not be appropriate. In the time-series link prediction problem, the time series link occurrences are used to predict the future links In this paper, we propose a new time series link prediction based on learning automata. In the proposed algorithm for each link that must be predicted there is one learning automaton and each learning automaton tries to predict the existence or non-existence of the corresponding link. To predict the link occurrence in time T, there is a chain consists of stages 1 through T - 1 and the learning automaton passes from these stages to learn the existence or non-existence of the corresponding link. Our preliminary link prediction experiments with co-authorship and email networks have provided satisfactory results when time series link occurrences are considered.
Soni, Ravi Kant
This book is intended for those who are interested in learning the core features of the Spring Framework. Prior knowledge of Java programming and web development concepts with basic XML knowledge is expected.
Oklahoma State Dept. of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.
This document contains the materials required for presenting an 8-day competency-based technology learning activity (TLA) designed to introduce students in grades 6-10 to advances and career opportunities in the field of laser technology. The guide uses a series of hands-on exploratory experiences into which activities to help students develop…
Miyazaki, Y [Department of Physics, Kyoto University, Kyoto 606-8502, (Japan); Kinzel, W [Institut fuer Theoretische Physik, Universitaet Wurzburg, 97074 Wurzburg (Germany); Shinomoto, S [Department of Physics, Kyoto University, Kyoto (Japan)
A model neuron with delayline feedback connections can learn a time series generated by another model neuron. It has been known that some student neurons that have completed such learning under the instruction of a teacher's quasi-periodic sequence mimic the teacher's time series over a long interval, even after instruction has ceased. We found that in addition to such faithful students, there are unfaithful students whose time series eventually diverge exponentially from that of the teacher. In order to understand the circumstances that allow for such a variety of students, the orbit dimension was estimated numerically. The quasi-periodic orbits in question were found to be confined in spaces with dimensions significantly smaller than that of the full phase space.
Miyazaki, Y; Kinzel, W; Shinomoto, S
A model neuron with delayline feedback connections can learn a time series generated by another model neuron. It has been known that some student neurons that have completed such learning under the instruction of a teacher's quasi-periodic sequence mimic the teacher's time series over a long interval, even after instruction has ceased. We found that in addition to such faithful students, there are unfaithful students whose time series eventually diverge exponentially from that of the teacher. In order to understand the circumstances that allow for such a variety of students, the orbit dimension was estimated numerically. The quasi-periodic orbits in question were found to be confined in spaces with dimensions significantly smaller than that of the full phase space
Keefe, James W., Ed.
In 1986, the National Association of Secondary School Principals, with the assistance of a national task force, published the NASSP Learning Style Profile (LSP) for diagnosis of the cognitive styles, perceptual response tendencies, and instructional preferences of middle level and senior high school students. This monograph offers a short course…
Sloep, P. B. (2009). Learning Networks for Professional Development & Lifelong Learning. Presentation at a NeLLL seminar with Etienne Wenger held at the Open Universiteit Nederland. September, 10, 2009, Heerlen, The Netherlands.
Hansen, Janne Saltoft
Learning design development for blended learning We started implementing Blackboard at Aarhus University in 2013. At the Health Faculty Blackboard replaced AULA which was a LMS with functionality for file distribution and only a vague focus on learning tools. Most teachers therefore had...... no experiences with blended leaning and technology supported out-of-class activities. At the pedagogical unit at the Health faculty we wanted to follow the Blackboard implementation with pedagogical tools for learning design to evolve the pedagogical use of the system. We needed to make development of blended...... learning courses easier for the teachers and also ensure quality in the courses. This poster describes the process from development of the learning design to implementation of the learning design at the faculty: 1. How to place demands on a learning design-model and how to develop and use such a model. 2...
Full Text Available Learning analytics is a significant area of Technology-Enhanced Learning (TEL that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it examines developing areas of learning analytics research, and identifies a series of future challenges.
Brouns, Francis; Sloep, Peter
Brouns, F., & Sloep, P. B. (2009). Learning Networks for Professional Development & Lifelong Learning. Presentation of the Learning Network Programme for a Korean delegation of Chonnam National University and Dankook University (researchers dr. Jeeheon Ryu and dr. Minjeong Kim and a Group of PhD and
Full Text Available Ensemble learning has been proved to improve the generalization ability effectively in both theory and practice. In this paper, we briefly outline the current status of research on it first. Then, a new deep neural network-based ensemble method that integrates filtering views, local views, distorted views, explicit training, implicit training, subview prediction, and Simple Average is proposed for biomedical time series classification. Finally, we validate its effectiveness on the Chinese Cardiovascular Disease Database containing a large number of electrocardiogram recordings. The experimental results show that the proposed method has certain advantages compared to some well-known ensemble methods, such as Bagging and AdaBoost.
Balslev, Daniela; Nielsen, Finn Å; Futiger, Sally A
Neuroimaging studies of learning focus on brain areas where the activity changes as a function of time. To circumvent the difficult problem of model selection, we used a data-driven analytic tool, cluster analysis, which extracts representative temporal and spatial patterns from the voxel......-time series. The optimal number of clusters was chosen using a cross-validated likelihood method, which highlights the clustering pattern that generalizes best over the subjects. Data were acquired with PET at different time points during practice of a visuomotor task. The results from cluster analysis show...
Ogura, Yukio; Ikeda, Toshimichi
The ultrasonic flaw detectors with 'A-scope indication' have been frequently used as the means for confirming the soundness of structures and equipments, but there are problems in their operational, quantifying and recording capabilities. Recently, the digital ultrasonic measuring instrument of touch panel type ''UT 1000 Series'' has been developed, which resolves these problems by a single effort. This measuring instrument is that of portable type, which gives the digital output of measured results in real time only by lightly touching the peak point of an echo on the Brown tube. This instrument contains the rich software for measurement, and can measure the positions and dimensions of defects and the pressure on contact surfaces with high accuracy. 'A-scope indication' is the indication with an oscilloscope taking the intensity of echo and the propagation time of ultrasonic waves on the ordinate and abscissa, respectively. There are three types of the instrument, that is, for detecting defects, for measuring contact surface pressure and for both purposes. The size of the instrument is 240 mm width, 350 mm length and 175 mm height, and the weight is 8.5 kgf. The specification, function and features of the ultrasonic flaw detector, touch panel, gain setter, key board, microcomputer and others are reported. (Kako, I.)
Kilfoil, W. R.
This article looks at the way in which people perceive learning and the impact of these perceptions on teaching methods within the context of learning development in distance education. The context could, in fact, be any type of teaching and learning environment. The point is to balance approaches to teaching and learning depending on student…
McDonald, Tracy, Ed.
This concluding volume in the series presents the work of faculty who have been moved to make sustainability the focus of their work, and to use service learning as one method of teaching sustainability to their students. The chapters in the opening section of this book-- Environmental Awareness--offer models for opening students to the awareness…
Wahl, Christian; Belle, Gianna; Clemmensen, Anita Lykke
This poster describes how learning analytics and collective intelligence can be combined in order to develop a tool for providing support and feedback to learners and teachers regarding students self-initiated learning activities.......This poster describes how learning analytics and collective intelligence can be combined in order to develop a tool for providing support and feedback to learners and teachers regarding students self-initiated learning activities....
Freeman, Brian S; Taylor, Graham; Gharabaghi, Bahram; Thé, Jesse
This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of identifying population exposure to airborne pollutants and determining compliance with local ambient air standards. In this paper, 8 hr averaged surface ozone (O 3 ) concentrations were predicted using deep learning consisting of a recurrent neural network (RNN) with long short-term memory (LSTM). Hourly air quality and meteorological data were used to train and forecast values up to 72 hours with low error rates. The LSTM was able to forecast the duration of continuous O 3 exceedances as well. Prior to training the network, the dataset was reviewed for missing data and outliers. Missing data were imputed using a novel technique that averaged gaps less than eight time steps with incremental steps based on first-order differences of neighboring time periods. Data were then used to train decision trees to evaluate input feature importance over different time prediction horizons. The number of features used to train the LSTM model was reduced from 25 features to 5 features, resulting in improved accuracy as measured by Mean Absolute Error (MAE). Parameter sensitivity analysis identified look-back nodes associated with the RNN proved to be a significant source of error if not aligned with the prediction horizon. Overall, MAE's less than 2 were calculated for predictions out to 72 hours. Novel deep learning techniques were used to train an 8-hour averaged ozone forecast model. Missing data and outliers within the captured data set were replaced using a new imputation method that generated calculated values closer to the expected value based on the time and season. Decision trees were used to identify input variables with the greatest importance. The methods presented in this paper allow air managers to forecast long range air pollution
Lane, Kathleen Lynne; Oakes, Wendy Peia; Powers, Lisa; Diebold, Tricia; Germer, Kathryn; Common, Eric A.; Brunsting, Nelson
This paper provides outcomes of a study examining the effectiveness of a year-long professional development training series designed to support in-service educators in learning a systematic approach to functional assessment-based interventions developed by Umbreit and colleagues (2007) that has met with demonstrated success when implemented with…
Full Text Available The importance of an interference-less machine learning scheme in time series prediction is crucial, as an oversight can have a negative cumulative effect, especially when predicting many steps ahead of the currently available data. The on-going research on noise elimination in time series forecasting has led to a successful approach of decomposing the data sequence into component trends to identify noise-inducing information. The empirical mode decomposition method separates the time series/signal into a set of intrinsic mode functions ranging from high to low frequencies, which can be summed up to reconstruct the original data. The usual assumption that random noises are only contained in the high-frequency component has been shown not to be the case, as observed in our previous findings. The results from that experiment reveal that noise can be present in a low frequency component, and this motivates the newly-proposed algorithm. Additionally, to prevent the erosion of periodic trends and patterns within the series, we perform the learning of local and global trends separately in a hierarchical manner which succeeds in detecting and eliminating short/long term noise. The algorithm is tested on four datasets from financial market data and physical science data. The simulation results are compared with the conventional and state-of-the-art approaches for time series machine learning, such as the non-linear autoregressive neural network and the long short-term memory recurrent neural network, respectively. Statistically significant performance gains are recorded when the meta-learning algorithm for noise reduction is used in combination with these artificial neural networks. For time series data which cannot be decomposed into meaningful trends, applying the moving average method to create meta-information for guiding the learning process is still better than the traditional approach. Therefore, this new approach is applicable to the forecasting
O'Reilly, A. M.
Sensitivity analysis traditionally has been applied to assessing model response to perturbations in model parameters, where the parameters are those model input variables adjusted during calibration. Unlike physics-based models where parameters represent real phenomena, the equivalent of parameters for machine-learning models are simply mathematical "knobs" that are automatically adjusted during training/testing/verification procedures. Thus the challenge of extracting knowledge of hydrologic system functionality from machine-learning models lies in their very nature, leading to the label "black box." Sensitivity analysis of the forcing-response behavior of machine-learning models, however, can provide understanding of how the physical phenomena represented by model inputs affect the physical phenomena represented by model outputs.As part of a previous study, hybrid spectral-decomposition artificial neural network (ANN) models were developed to simulate the observed behavior of hydrologic response contained in multidecadal datasets of lake water level, groundwater level, and spring flow. Model inputs used moving window averages (MWA) to represent various frequencies and frequency-band components of time series of rainfall and groundwater use. Using these forcing time series, the MWA-ANN models were trained to predict time series of lake water level, groundwater level, and spring flow at 51 sites in central Florida, USA. A time series of sensitivities for each MWA-ANN model was produced by perturbing forcing time-series and computing the change in response time-series per unit change in perturbation. Variations in forcing-response sensitivities are evident between types (lake, groundwater level, or spring), spatially (among sites of the same type), and temporally. Two generally common characteristics among sites are more uniform sensitivities to rainfall over time and notable increases in sensitivities to groundwater usage during significant drought periods.
Sampsell, Jacquelyn Scipper
Effective professional development offers opportunities for teachers to reflect on their practices, modify and implement changes in the classroom, and eventually impact students' learning. However, professional development must be evaluated to determine whether the desired results are actually occurring in the classroom. The Program for Research and Evaluation for Public Schools, Inc. (PREPS) created a Biology I Workshop series to assist school districts in Mississippi in aligning curriculum, instruction, and assessment that will ultimately improve student achievement in the classroom and performance on the current high-stakes test. This study evaluated the PREPS Biology I Subject Area workshops by using Thomas Guskey's evaluation model as a guide for the process. This study used a mixed-method design and collected data from three primary sources: the PREPS Final Evaluation Form completed at the conclusion of workshops, a questionnaire created by the researcher, and interviews with six-case study teacher participants selected from the results of the questionnaire. According to the ratings and comments written on the two instruments and supporting evidence from the case-study teachers, the participants of the Biology I workshop found the workshops to be effective for all five levels of Guskey's evaluation model. The content was rated effective because the workshop materials were aligned to the curriculum frameworks and were focused on using student learning to improve student achievement. Working through the activities rather than simply being told about them and having a successful classroom biology teacher as a presenter were the factors that contributed to the increase in the participants' knowledge and skills. Organizational results indicate that the workshop was effective in that the goals of the workshop series aligned with the schools' mission and goals for student learning. Several issues, such as financial support, time for collaboration with peers, and
Based on the historic background and development of lifelong education (learning) in China, this paper introduces major developments of lifelong education (learning) that have been achieved through adopting a series of measures under policies issued by the Chinese government since the 1990s. Throughout the decades, efforts have been made to…
McAloone, Tim C.
Three lectures in sustainable product development models, methods and mindsets should give insight into the way of thinking about the environment when developing products. The first two lectures will guide you through: . Environmental problems in industry & life-cycle thinking . Professional...... methods for analysing and changing products’ environmental profiles . Sustainability as a driver for innovation...
The third in a five-part series of case studies on enterprisewide electronic learning describes how Kodak's approach to a global learning management system integrated 80 discrete human resource systems into one. (JOW)
Priest, Simon; Lesperance, Mary Ann
In two studies, the Team Development Indicator was repeatedly administered to intact work groups participating in intensive 48-hour residential corporate adventure training (CAT) and various follow-up procedures. CAT significantly improved team behaviors in all training groups, but improvements were maintained or increased only in groups that…
Schools across the nation know the importance of student achievement; which is at the core of teaching and learning. Here in Texas, we have an accountability rating system that helps gauge how well students are doing annually. Texas accountability system is based on a system of indexes that provides an all-inclusive assessment of the performance…
Full Text Available Research in the field of education, carried out in living and working environment, which has undergone so profound changes recently, is of extreme importance. In schools, courses and seminars, one cannot prepare him/herself for the changes as these are often so rapid that it is impossible to foresee them. Therefore, one can only learn by experience. In defining the term 'experience learning', the teoreticians vary greatly. In this paper, experience learning is understood as a process of learning taking part mainly outside the planned educational process and including an active and participative attitude towards environment and people. Original and direct experience can thus serve as a basis for gaining new comprehensions, for planning future activities as well as for a reinterpretation of the past experiences. Let us first mention the basic factors of successful experience learning, such as an individual's character features, possibilities for learning, learning atmosphere and positive stimulations. It has been estimated that local community can increase or decrease the possibilities for experience learning. However, the relation is active in other direction too: the more experience learning bas been asserted in a community, the greater its influence on social and cultural development of the community. On has to bear in mind that well-planned education for local community and stimulating sociocultural animation can facilitate the development of local community.
Roberts, Dennis C.; Komives, Susan R.
Best practices in internationalizing student learning and development require cultural critical analysis before transferring, adapting, hedging, or avoiding existing practices in cross-border applications both in and beyond the classroom.
The purpose of this paper is to highlight the celebratory aspect of the Design Lecture Series, a tradition in architecture schools and interior design programs, its meaning for all constituent parties, and its contributions to creating professional identity and community. The Design Lecture Series is a public event popular in design programs,…
Guo, Xuqi; Pang, Y.; Yan, Gaowei; Qiao, Tiezhu; Yang, Guang-Hong; Yang, Dan
Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in
Lampkin, Stacie J; Collins, Christine; Danison, Ryan; Lewis, Michelle
To evaluate the usefulness of formal debates in the pharmacy classroom as a way to learn course material and as a tool for developing competency in essential skills including critical thinking, communication, public speaking, research methods, and teamwork. Debates were incorporated into a self-care course, where students were assigned different debate topics focused on controversial issues. Quantitative analysis was completed to assess debate style learning, knowledge about the subjects presented, and the impact on necessary skills. Quizzes given before and after debates showed up to a 36% improvement in grades and up to a 31% change in opinions on the topic. Students assessed themselves as more competent in the skill sets at the completion of the debate series. Incorporation of debates into didactic style courses offers students an opportunity to improve upon skills that will help them succeed as pharmacists.
Rivera, D P
influences on the field of mathematics education. Reform efforts have shaped the field significantly since the 1950s, contributing to the curriculum offered in mathematics textbooks and the pedagogical practices taught in higher education courses. Mathematics educators continue to search for a better understanding of how children learn mathematics; this process is shaped by the prevailing theoretical orientations and research methodologies. This special series in mathematics special education provides readers with information about the characteristics of students with mathematics learning disabilities, assessment procedures, mathematics programming, teacher preparation, and future directions for the field. The series originated as a result of discussions with Dr. Lee Wiederholt and Dr. Judith K. Voress, who saw a need for the compilation of recent research and best practices in mathematics special education. I thank them for their support of and thoughtful insights about the development of this series. I also appreciate the support of Dr. George Hynd and his editorial assistant, Kathryn Black, in finalizing the details for publication. Finally, I am most appreciative of the authors' contributions to this series; their work continues to significantly influence the development of the field of mathematics special education and programming for students with mathematics learning disabilities.
The Life Cycle Assessment Learning Module Series is a set of narrated, self-advancing slideshows on : various topics related to environmental life cycle assessment (LCA). This research project produced the first 27 of such modules, which : are freely...
National Career Development Association, 2015
Covers career development theory, models, and techniques and how to apply them; understand the steps in the career development process and why career choice and development theory is important as well as limitations. Presents the assumptions that underlie four different types of theories; trait and factor, learning, developmental, and transition…
Full Text Available Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources.
Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma
Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning) systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN) algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN) to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP) algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources. PMID:25905698
Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma
Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning) systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN) algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN) to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP) algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources.
A practical guide with step-by-step examples that build on each other so you can learn by doing and get hands-on knowledge about creating your plugins, modules, and components in Joomla.""Learning Joomla! 3 Extension Development, Third Edition"" is for developers who want to create their own Joomla extensions. It is assumed you will have some basic PHP, HTML, and CSS knowledge, but you don't need any prior Joomla programming experience. This book will also be useful to people who just want to make minor customizations to existing Joomla extensions and build on the work of others in the open so
Cox, Craig D; Mulherin, Katrina; Walter, Sheila
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.
This chapter examines an Indigenous speaker series formed to foster intercultural partnerships at a Canadian university. Using ensemble leadership and generative learning theories to make sense of the project, the author argues that ensemble leadership is key to designing the generative learning adult learners need in an era of ambiguity.
The purpose of this article is to analyse how students use inscriptions as tools for thinking and learning in mathematical problem-solving activities. The empirical context is that of learning about geometric series in a small group setting. What has been analysed is how students made use of inscriptions, self-made as well as those provided by…
Higgins, Chris; Reading, Judy; Taylor, Paul
This book examines issues and methods for conducting research into the educational resource environment in colleges and universities. That environment is defined as whatever is used to facilitate the learning process, including learning space, support staff, and teaching staff. Chapter 1 is an introduction to the series and lays out the process of…
Balslev, Daniela; Nielsen, Finn Årup; Frutiger, Sally A.
Neuroimaging studies of learning focus on brain areas where the activity changes as a function of time. To circumvent the difficult problem of model selection, we used a data-driven analytic tool, cluster analysis, which extracts representative temporal and spatial patterns from the voxel...... practice-related activity in a fronto-parieto-cerebellar network, in agreement with previous studies of motor learning. These voxels were separated from a group of voxels showing an unspecific time-effect and another group of voxels, whose activation was an artifact from smoothing. Hum. Brain Mapping 15...
Welch, Beth; Spooner, Joshua J; Tanzer, Kim; Dintzner, Matthew R
Objective. To design and implement a longitudinal course series focused on professional development and professional identity formation in pharmacy students at Western New England University. Methods. A four-year, theme-based course series was designed to sequentially and longitudinally impart the values, attributes, and characteristics of a professional pharmacist. Requirements of the course include: goal planning and reflective assignments, submission of "Best Works," attendance at professional meetings, completion of service hours, annual completion of a Pharmacy Professionalism Instrument, attendance at Dean's Seminar, participation in roundtable discussions, and maintenance of an electronic portfolio. Though the Professional Development course series carries no credit, these courses are progression requirements and students are assessed on a pass/fail basis. Results. Course pass rates in the 2015-2016 academic year for all four classes were 99% to 100%, suggesting the majority of students take professional development seriously and are achieving the intended outcomes of the courses. Conclusion. A professional development course series was designed and implemented in the new Doctor of Pharmacy program at Western New England University to enhance the professional identity formation of students.
Schelter, Björn; Timmer, Jens
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises both methodological aspects and applications to real world complex systems, such as the human brain or Earth's climate. Covering an exceptionally broad spectrum of topics, beginners, experts and practitioners who seek to understand the latest de
Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko
In Finland, schools' effectiveness in fostering the development of transversal skills is evaluated through large-scale learning to learn (LTL) assessments. This article presents how LTL skills--general cognitive competences and learning-related motivational beliefs--develop during primary school and how they predict pupils' CPS skills at the end…
This book is written in a simple and easy-to-understand manner, with each chapter contributing as a standalone project that will give you as a reader something to reflect on as you're learning.This book is aimed at amateur PHP developers with a desire to get a firm understanding of the Lavarel 4 framework. Basic knowledge of PHP will be helpful, however in-depth knowledge is not a must.
Android development is hot, and many programmers are interested in joining the fun. However, because this technology is based on Java, you should first obtain a solid grasp of the Java language and its foundational APIs to improve your chances of succeeding as an Android app developer. After all, you will be busy learning the architecture of an Android app, the various Android-specific APIs, and Android-specific tools. If you do not already know Java fundamentals, you will probably end up with a massive headache from also having to quickly cram those fundamentals into your knowledge base. Lear
Journal of Staff Development, 2013
A professional learning plan establishes short-and long-term plans for professional learning and implementation of the learning. Such plans guide individuals, schools, districts, and states in coordinating learning experiences designed to achieve outcomes for educators and students. Professional learning plans focus on the program of educator…
The article presents a clasification of selected leading conceptions within professional development, using socio-cultural perspective of learning in different relationships. Beside drawing on the classical social theory of learning through interactions with others, another dimensions of learning are added: related to the self, personal dimension of learning through professional identity development and societal dimension, where learning results from the ability to respond comprehensively to ...
Hodgson, V.; McConnell, D.
Discusses the theory, nature, and benefits of cooperative learning. Considers the Cooperative Learning and Development Network (CLDN) trial in the JITOL (Just in Time Open Learning) project and examines the relationship between theories about cooperative learning and the reality of a group of professionals participating in a virtual cooperative…
Gillies, Robyn M.
Cooperative learning is widely recognized as a pedagogical practice that promotes socialization and learning among students from kindergarten through to college level and across different subject areas. Cooperative learning involves students working together to achieve common goals or complete group tasks. Interest in cooperative learning has…
Devine, Richard, Ed.; Favazza, Joseph A., Ed.; McLain, F. Michael, Ed.
This essays in this volume, 19th in a series, discuss why and how service-learning can be implemented in Religious Studies and what that discipline contributes to the pedagogy of service-learning. Part 1, "Service-Learning and the Dilemma of Religious Studies," contains: (1) "Service-Learning and the Dilemma of Religious Studies: Descriptive or…
.... Army distance learning plan managers to examine the DLPs they were directing. The analysis showed that neither army nor civilian distance learning plan managers used formalized requirements for organizational structure development (OSD...
Skov Hansen, Line; Sunnevåg, Anne-Karin; Kostøl, Anne
for Knowledge-Based Educational Practice (CVIPP), Denmark have designed projects for developing competences and training based on “blended learning” concepts. The didactic designs, in all three projects, are based on problem-oriented e-learning modules that are approached in teams. Through learning in teams......, competences are developed together with colleagues. Through e-learning training and development of competences can take place at each school, within the limits and resources available at the school by using e-learning. E-learning can therefore contribute to improved flexibility in human resource development...
Formal learning is, as the name implies familiar and hence easy to conduct. Informal learning on the other hand begs the question - how will it be managed? Further research is therefore necessary in the field of formulating a consistent theory, understanding what the potential for R&D could be and considering the interplay between formal and informal learning.
Kim, T.; Joo, K.; Seo, J.; Heo, J. H.
Hydrologic time series forecasting is an essential task in water resources management and it becomes more difficult due to the complexity of runoff process. Traditional stochastic models such as ARIMA family has been used as a standard approach in time series modeling and forecasting of hydrological variables. Due to the nonlinearity in hydrologic time series data, machine learning approaches has been studied with the advantage of discovering relevant features in a nonlinear relation among variables. This study aims to compare the predictability between the traditional stochastic model and the machine learning approach. Seasonal ARIMA model was used as the traditional time series model, and Random Forest model which consists of decision tree and ensemble method using multiple predictor approach was applied as the machine learning approach. In the application, monthly inflow data from 1986 to 2015 of Chungju dam in South Korea were used for modeling and forecasting. In order to evaluate the performances of the used models, one step ahead and multi-step ahead forecasting was applied. Root mean squared error and mean absolute error of two models were compared.
Full Text Available Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research. Electroencephalography (EEG is widely used in eye state classification to detect human's cognition state. Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification. This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL based on neural networks. IAL is a novel machine learning strategy which gradually imports and trains features one by one. Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems. However, in these previous works, little research on IAL focused on its application to time-series problems. Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification. Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.
Center for Army Leadership Technical Report 2006-2 Advanced Learning Theories Applied to Leadership Development Christina Curnow...2006 5a. CONTRACT NUMBER W91QF4-05-F-0026 5b. GRANT NUMBER 4. TITLE AND SUBTITLE Advanced Learning Theories Applied to Leadership Development 5c...ABSTRACT This report describes the development and implementation of an application of advanced learning theories to leadership development. A
Muhei-aldin, Othman; VanSwearingen, Jessie; Karim, Helmet; Huppert, Theodore; Sparto, Patrick J; Erickson, Kirk I; Sejdić, Ervin
Understanding complex brain networks using functional magnetic resonance imaging (fMRI) is of great interest to clinical and scientific communities. To utilize advanced analysis methods such as graph theory for these investigations, the stationarity of fMRI time series needs to be understood as it has important implications on the choice of appropriate approaches for the analysis of complex brain networks. In this paper, we investigated the stationarity of fMRI time series acquired from twelve healthy participants while they performed a motor (foot tapping sequence) learning task. Since prior studies have documented that learning is associated with systematic changes in brain activation, a sequence learning task is an optimal paradigm to assess the degree of non-stationarity in fMRI time-series in clinically relevant brain areas. We predicted that brain regions involved in a "learning network" would demonstrate non-stationarity and may violate assumptions associated with some advanced analysis approaches. Six blocks of learning, and six control blocks of a foot tapping sequence were performed in a fixed order. The reverse arrangement test was utilized to investigate the time series stationarity. Our analysis showed some non-stationary signals with a time varying first moment as a major source of non-stationarity. We also demonstrated a decreased number of non-stationarities in the third block as a result of priming and repetition. Most of the current literature does not examine stationarity prior to processing. The implication of our findings is that future investigations analyzing complex brain networks should utilize approaches robust to non-stationarities, as graph-theoretical approaches can be sensitive to non-stationarities present in data. Copyright © 2014 Elsevier B.V. All rights reserved.
Smith, Linda B; Jayaraman, Swapnaa; Clerkin, Elizabeth; Yu, Chen
New efforts are using head cameras and eye-trackers worn by infants to capture everyday visual environments from the point of view of the infant learner. From this vantage point, the training sets for statistical learning develop as the sensorimotor abilities of the infant develop, yielding a series of ordered datasets for visual learning that differ in content and structure between timepoints but are highly selective at each timepoint. These changing environments may constitute a developmentally ordered curriculum that optimizes learning across many domains. Future advances in computational models will be necessary to connect the developmentally changing content and statistics of infant experience to the internal machinery that does the learning. Copyright © 2018 Elsevier Ltd. All rights reserved.
Dillenbourg, Pierre, Ed.
Intended to illustrate the benefits of collaboration between scientists from psychology and computer science, namely machine learning, this book contains the following chapters, most of which are co-authored by scholars from both sides: (1) "Introduction: What Do You Mean by 'Collaborative Learning'?" (Pierre Dillenbourg); (2)…
Schwartzbeck, Terri Duggan; Wolf, Mary Ann
This report outlines how digital learning can connect middle and high school students with better teaching and learning experiences while also addressing three major challenges facing the nation's education system--access to good teaching, tight budgets, and boosting student achievement. But simply slapping a netbook on top of a textbook will not…
This dissertation argues that diminishing oil reserves, concern over global climate change, and desire to improve ambient air quality all demand the development of environment-friendly personal transportation. In certain applications, series hybrid electric vehicles offer an attractive solution to reducing fuel consumption and emissions. Furthermore, linear engines are emerging as a powerplant suited to series HEV applications. In this dissertation, a linear engine/alternator was considered as the auxiliary power unit of a range extender series hybrid electric vehicle. A prototype linear engine/alternator was developed, constructed and tested at West Virginia University. The engine was a 2-stroke, 2-cylinder, dual piston, direct injection, diesel engine. Experiment on the engine was performed to study its behavior. The study variables included mass of the translator, amount of fuel injected, injection timing, load, and stroke with operating frequency and mechanical efficiency as the basis of comparison. The linear engine was analyzed in detail and a simple simulation model was constructed to compare the trends of simulation with the experimental data and to expand on the area where the experimental data were lacking. The simulation was based on a simple and analytical model, rather than a detailed and intensely numerical one. The experimental and theoretical data showed similar trends. Increasing translator mass decreased the operating frequency and increased compression ratio. Larger mass and increased compression ratio improved the ability of the engine to sustain operation and the engine was able to idle on less fuel injected into the cylinder. Increasing the stroke length caused the operating frequency to drop. Increasing fueling or decreasing the load resulted in increased operating frequency. This projects the possibility of using the operating frequency as an input for feedback control of the engine. Injection timing was varied to investigate two different
Honig, Meredith I.; Rainey, Lydia R.
School district leaders nationwide aspire to help their schools become vibrant places for learning--where students have meaningful academic opportunities "and" develop critical thinking and problem-solving skills, the ability to communicate effectively, and other deeper learning capacities that are essential to success in later life.…
Arikpo, Ofem U.; Domike, Grace
This paper presents an overview of the extent pupils learning preference and interest development influences their learning in schools. Interest is refers to an individual's relatively enduring psychological predisposition (preference) to re-engage in particular classes of objects, available evidence indicates that, there are many factors that…
Janik, M; Bossew, P; Kurihara, O
Machine learning is a class of statistical techniques which has proven to be a powerful tool for modelling the behaviour of complex systems, in which response quantities depend on assumed controls or predictors in a complicated way. In this paper, as our first purpose, we propose the application of machine learning to reconstruct incomplete or irregularly sampled data of time series indoor radon ( 222 Rn). The physical assumption underlying the modelling is that Rn concentration in the air is controlled by environmental variables such as air temperature and pressure. The algorithms "learn" from complete sections of multivariate series, derive a dependence model and apply it to sections where the controls are available, but not the response (Rn), and in this way complete the Rn series. Three machine learning techniques are applied in this study, namely random forest, its extension called the gradient boosting machine and deep learning. For a comparison, we apply the classical multiple regression in a generalized linear model version. Performance of the models is evaluated through different metrics. The performance of the gradient boosting machine is found to be superior to that of the other techniques. By applying learning machines, we show, as our second purpose, that missing data or periods of Rn series data can be reconstructed and resampled on a regular grid reasonably, if data of appropriate physical controls are available. The techniques also identify to which degree the assumed controls contribute to imputing missing Rn values. Our third purpose, though no less important from the viewpoint of physics, is identifying to which degree physical, in this case environmental variables, are relevant as Rn predictors, or in other words, which predictors explain most of the temporal variability of Rn. We show that variables which contribute most to the Rn series reconstruction, are temperature, relative humidity and day of the year. The first two are physical
Full Text Available We are presenting results comparison of three artificial intelligence algorithms in a classification of time series derived from musical excerpts in this paper. Algorithms were chosen to represent different principles of classification – statistic approach, neural networks and competitive learning. The first algorithm is a classical k-Nearest neighbours algorithm, the second algorithm is Multilayer Perceptron (MPL, an example of artificial neural network and the third one is a Learning Vector Quantization (LVQ algorithm representing supervised counterpart to unsupervised Self Organizing Map (SOM.After our own former experiments with unlabelled data we moved forward to the data labels utilization, which generally led to a better accuracy of classification results. As we need huge data set of labelled time series (a priori knowledge of correct class which each time series instance belongs to, we used, with a good experience in former studies, musical excerpts as a source of real-world time series. We are using standard deviation of the sound signal as a descriptor of a musical excerpts volume level.We are describing principle of each algorithm as well as its implementation briefly, giving links for further research. Classification results of each algorithm are presented in a confusion matrix showing numbers of misclassifications and allowing to evaluate overall accuracy of the algorithm. Results are compared and particular misclassifications are discussed for each algorithm. Finally the best solution is chosen and further research goals are given.
Linden, Ariel; Yarnold, Paul R
Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the intervention is expected to 'interrupt' the level and/or trend of the time series, subsequent to its introduction. Given that the internal validity of the design rests on the premise that the interruption in the time series is associated with the introduction of the treatment, treatment effects may seem less plausible if a parallel trend already exists in the time series prior to the actual intervention. Thus, sensitivity analyses should focus on detecting structural breaks in the time series before the intervention. In this paper, we introduce a machine-learning algorithm called optimal discriminant analysis (ODA) as an approach to determine if structural breaks can be identified in years prior to the initiation of the intervention, using data from California's 1988 voter-initiated Proposition 99 to reduce smoking rates. The ODA analysis indicates that numerous structural breaks occurred prior to the actual initiation of Proposition 99 in 1989, including perfect structural breaks in 1983 and 1985, thereby casting doubt on the validity of treatment effects estimated for the actual intervention when using a single-group ITSA design. Given the widespread use of ITSA for evaluating observational data and the increasing use of machine-learning techniques in traditional research, we recommend that structural break sensitivity analysis is routinely incorporated in all research using the single-group ITSA design. © 2016 John Wiley & Sons, Ltd.
Powell, Allison; Watson, John; Staley, Patrick; Patrick, Susan; Horn, Michael; Fetzer, Leslie; Hibbard, Laura; Oglesby, Jonathan; Verma, Sue
In 2008, the International Association for K-12 Online Learning (iNACOL) produced a series of papers documenting promising practices identified throughout the field of K-12 online learning. Since then, we have witnessed a tremendous acceleration of transformative policy and practice driving personalized learning in the K-12 education space. State,…
Price, Deborah; Tschannen, Dana; Caylor, Shandra
New strategies are emerging to promote structure and increase learning in the clinical setting. Nursing faculty designed a mechanism by which integrative learning and situated coaching could occur more readily in the clinical setting. The Clinical Goals Initiative was implemented for sophomore-, junior-, and senior-level students in their clinical practicums. Students developed weekly goals reflecting three domains of professional nursing practice. Goals were shared with faculty and staff nurse mentors at the beginning of the clinical day to help guide students and mentors with planning for learning experiences. After 6 weeks, faculty and students were surveyed to evaluate project effectiveness. Faculty indicated that goal development facilitated clinical learning by providing more student engagement, direction, and focus. Students reported that goal development allowed them to optimize clinical learning opportunities and track their growth and progress. Faculty and students indicated the goals promoted student self-learning, autonomy, and student communication with nurse mentors and faculty. Copyright 2013, SLACK Incorporated.
Price, V; Archbold, J
This article traces the development of social learning theory over the last 30 years, relating the developments to clinical nursing practice. Particular attention is focused on the contribution of Albert Bandura, the American psychologist, and his work on modelling.
Full Text Available Much research in the past two decades has documented infants’ and adults' ability to extract statistical regularities from auditory input. Importantly, recent research has extended these findings to the visual domain, demonstrating learners' sensitivity to statistical patterns within visual arrays and sequences of shapes. In this review we discuss both auditory and visual statistical learning to elucidate both the generality of and constraints on statistical learning. The review first outlines the major findings of the statistical learning literature with infants, followed by discussion of statistical learning across domains, modalities, and development. The second part of this review considers constraints on statistical learning. The discussion focuses on two categories of constraint: constraints on the types of input over which statistical learning operates and constraints based on the state of the learner. The review concludes with a discussion of possible mechanisms underlying statistical learning.
Lockwood, Fred, Ed.
This book contains the following papers on open and distance learning today: "Preface" (Daniel); "Big Bang Theory in Distance Education" (Hawkridge); "Practical Agenda for Theorists of Distance Education" (Perraton); "Trends, Directions and Needs: A View from Developing Countries" (Koul); "American…
The method of collaborative distance learning has been applied for years in a number of distance learning courses, but they are relatively few in foreign language learning. The context of this research is a hybrid distance learning of French for specific purposes, delivered through the platform UNIV-RcT (Strasbourg University), which combines collaborative activities for the realization of a common problem-solving task online. The study focuses on a couple of aspects: on-line interactions carried out in small, tutored groups and the process of community building online. By analyzing the learner's perceptions of community and collaborative learning, we have tried to understand the process of building and maintenance of online learning community and to see to what extent the collaborative distance learning contribute to the development of the competence expectations at the end of the course. The analysis of the results allows us to distinguish the advantages and limitations of this type of e-learning and thus evaluate their pertinence.
Veronesi, F; Grassi, S
Wind resource assessment is a key aspect of wind farm planning since it allows to estimate the long term electricity production. Moreover, wind speed time-series at high resolution are helpful to estimate the temporal changes of the electricity generation and indispensable to design stand-alone systems, which are affected by the mismatch of supply and demand. In this work, we present a new generalized statistical methodology to generate the spatial distribution of wind speed time-series, using Switzerland as a case study. This research is based upon a machine learning model and demonstrates that statistical wind resource assessment can successfully be used for estimating wind speed time-series. In fact, this method is able to obtain reliable wind speed estimates and propagate all the sources of uncertainty (from the measurements to the mapping process) in an efficient way, i.e. minimizing computational time and load. This allows not only an accurate estimation, but the creation of precise confidence intervals to map the stochasticity of the wind resource for a particular site. The validation shows that machine learning can minimize the bias of the wind speed hourly estimates. Moreover, for each mapped location this method delivers not only the mean wind speed, but also its confidence interval, which are crucial data for planners. (paper)
Veronesi, F.; Grassi, S.
Wind resource assessment is a key aspect of wind farm planning since it allows to estimate the long term electricity production. Moreover, wind speed time-series at high resolution are helpful to estimate the temporal changes of the electricity generation and indispensable to design stand-alone systems, which are affected by the mismatch of supply and demand. In this work, we present a new generalized statistical methodology to generate the spatial distribution of wind speed time-series, using Switzerland as a case study. This research is based upon a machine learning model and demonstrates that statistical wind resource assessment can successfully be used for estimating wind speed time-series. In fact, this method is able to obtain reliable wind speed estimates and propagate all the sources of uncertainty (from the measurements to the mapping process) in an efficient way, i.e. minimizing computational time and load. This allows not only an accurate estimation, but the creation of precise confidence intervals to map the stochasticity of the wind resource for a particular site. The validation shows that machine learning can minimize the bias of the wind speed hourly estimates. Moreover, for each mapped location this method delivers not only the mean wind speed, but also its confidence interval, which are crucial data for planners.
Voyant, Cyril; Notton, Gilles; Darras, Christophe; Fouilloy, Alexis; Motte, Fabrice
As global solar radiation forecasting is a very important challenge, several methods are devoted to this goal with different levels of accuracy and confidence. In this study we propose to better understand how the uncertainty is propagated in the context of global radiation time series forecasting using machine learning. Indeed we propose to decompose the error considering four kinds of uncertainties: the error due to the measurement, the variability of time series, the machine learning uncertainty and the error related to the horizon. All these components of the error allow to determinate a global uncertainty generating prediction bands related to the prediction efficiency. We also have defined a reliability index which could be very interesting for the grid manager in order to estimate the validity of predictions. We have experimented this method on a multilayer perceptron which is a popular machine learning technique. We have shown that the global error and its components are essential to quantify in order to estimate the reliability of the model outputs. The described method has been successfully applied to four meteorological stations in Mediterranean area. - Highlights: • Solar irradiation predictions require confidence bands. • There are a lot of kinds of uncertainties to take into account in order to propose prediction bands. • the ranking of different kinds of uncertainties is essential to propose an operational tool for the grid managers.
Postholm, May Britt; Waege, Kjersti
Background and purpose: Many researchers agree that teachers' learning processes are social and that teachers need to be brought together to learn from each other. Researchers have also stated that intellectual and pedagogical change requires professional development activities that take place over a period of time in school. The purpose of the…
Levine, Laura E.; Munsch, Joyce
Within each chapter of this innovative topical text, the authors engage students by demonstrating the wide range of real-world applications of psychological research connected to child development. In particular, the distinctive Active Learning features incorporated throughout the book foster a dynamic and personal learning process for students.…
The aims of this study are: (1) to develop iPad-based computer simulations called iSimPhysics that can help people learn Newtonian physics concepts; and (2) to assess its educational benefits and pedagogical usefulness. To facilitate learning, iSimPhysics visualizes abstract physics concepts, and allows for conducting a series of computer…
van de Kerkhof, B.; Pankratius, V.; Chang, L.; van Swol, R.; Hanssen, R. F.
Due to the increasing number of SAR satellites, with shorter repeat intervals and higher resolutions, SAR data volumes are exploding. Time series analyses of SAR data, i.e. Persistent Scatterer (PS) InSAR, enable the deformation monitoring of the built environment at an unprecedented scale, with hundreds of scatterers per km2, updated weekly. Potential hazards, e.g. due to failure of aging infrastructure, can be detected at an early stage. Yet, this requires the operational data processing of billions of measurement points, over hundreds of epochs, updating this data set dynamically as new data come in, and testing whether points (start to) behave in an anomalous way. Moreover, the quality of PS-InSAR measurements is ambiguous and heterogeneous, which will yield false positives and false negatives. Such analyses are numerically challenging. Here we extract relevant information from PS-InSAR time series using machine learning algorithms. We cluster (group together) time series with similar behaviour, even though they may not be spatially close, such that the results can be used for further analysis. First we reduce the dimensionality of the dataset in order to be able to cluster the data, since applying clustering techniques on high dimensional datasets often result in unsatisfying results. Our approach is to apply t-distributed Stochastic Neighbor Embedding (t-SNE), a machine learning algorithm for dimensionality reduction of high-dimensional data to a 2D or 3D map, and cluster this result using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The results show that we are able to detect and cluster time series with similar behaviour, which is the starting point for more extensive analysis into the underlying driving mechanisms. The results of the methods are compared to conventional hypothesis testing as well as a Self-Organising Map (SOM) approach. Hypothesis testing is robust and takes the stochastic nature of the observations into account
Robyn M. Gillies
Full Text Available Cooperative learning, where students work in small groups to accomplish shared goals, is widely recognized as a teaching strategy that promotes learning and socialization among students from kindergarten through college and across different subject domains. It has been used successfully to promote reading and writing achievements, understanding and conceptual development in science classes, problem-solving in mathematics, and higher-order thinking and learning to name just a few. It has been shown to enhance students' willingness to work cooperatively and productively with others with diverse learning and adjustment needs and to enhance intergroup relations with those from culturally and ethnically different backgrounds. It has also been used as a teaching strategy to assist students to manage conflict and to help students identified as bullies learn appropriate interpersonal skills. In fact, it has been argued that cooperative learning experiences are crucial to preventing and alleviating many of the social problems related to children, adolescents, and young adults. There is no doubt that the benefits attributed to cooperative learning are widespread and numerous and it is the apparent success of this approach to learning that has led to it being acclaimed as one of the greatest educational innovations of recent times. The purpose of this paper is not only to review developments in research on cooperative learning but also to examine the factors that mediate and moderate its success. In particular, the review focuses on the types of student and teacher interactions generated and the key role talk plays in developing student thinking and learning, albeit through the expression of contrasting opinions or constructed shared meaning. The intention is to provide additional insights on how teachers can effectively utilize this pedagogical approach to teaching and learning in their classrooms.
De Kraker, Joop; Cörvers, Ron; Ruelle, Christine; Valkering, Pieter
Sustainable regional development is a participatory, multi-actor process, involving a diversity of societal stakeholders, administrators, policy makers, practitioners and scientific experts. In this process, mutual and collective learning plays a major role as participants have to exchange and
Yeadon-Lee, Annie; Hall, Roger
There has been increasing criticism of the relevance of the Master of Business Administration (MBA) degree in developing skills and competencies. Action learning, devised to address problem solving in the
Problem Based Learning, curriculum development and change process at ... was started in 1924 and has been running a traditional curriculum for 79 years. ... Methods: The stages taken during the process were described and analysed.
In the paper, the idea is explored of organisational learning as the opening andclosure of organisational space for inquiry or reflective thinking, as a way toconstruct organisational learning as an object for research. This is done by asking thequestion of whether an organisational development...... project contributes toorganisational learning. The point of departure is a municipality in Denmark workingtoward digitalising its administration. The conclusion is that the success of such aprocess very much depends on an organisation's ability to encompass severalunderstandings of organisational...... development and digital administration and tosustain them in a productive form of tension instead of pursuing only one of them....
Full Text Available E-Learning and Economic Development Kelly CAREY West Valley College Saratoga, CA, USA Stanko BLATNIK Institute for Symbolic Analysis and Development of Information Technologies Velenje, SLOVENIA ABSTRACT In this article, our experience in the development and realization of e-Learning courses in Slovenia is described and discussed. Slovenia, the most developed republic of former Yugoslavia, became an EU member in May 2004. In 1991, after its independence from Yugoslavia, Slovenias transition to a free market economy resulted in lost jobs and an unemployment rate of 12%. In 1999, as the Institute for Symbolic Analysis and Development of Information Technologies, located in Velenje, Slovenia, we decided to offer several online courses to help unemployed people gain the skills and knowledge needed for employability in information technology. We drew on our previous experience teaching online courses at Sarajevo University after the Bosnian war and on the experience of West Valley College from Saratoga, Silicon Valley in e-Learning. Over the last four years, we organized and delivered e-Learning courses in digital media design and production, with good results. Several students found jobs and changed their perception and attitude as they became more self-confident. We believe e-Learning can efficiently enhance lifelong learning and support economic development, especially in new member countries transitioning from former socialistic to free market economies.
Full Text Available Methodology of automated human settlement mapping is highly needed for utilization of historical satellite data archives for urgent issues of urban growth in global scale, such as disaster risk management, public health, food security, and urban management. As development of global data with spatial resolution of 10-100 m was achieved by some initiatives using ASTER, Landsat, and TerraSAR-X, next goal has targeted to development of time-series data which can contribute to studies urban development with background context of socioeconomy, disaster risk management, public health, transport and other development issues. We developed an automated algorithm to detect human settlement by classification of built-up and non-built-up in time-series Landsat images. A machine learning algorithm, Local and Global Consistency (LLGC, was applied with improvements for remote sensing data. The algorithm enables to use MCD12Q1, a MODIS-based global land cover map with 500-m resolution, as training data so that any manual process is not required for preparation of training data. In addition, we designed the method to composite multiple results of LLGC into a single output to reduce uncertainty. The LLGC results has a confidence value ranging 0.0 to 1.0 representing probability of built-up and non-built-up. The median value of the confidence for a certain period around a target time was expected to be a robust output of confidence to identify built-up or non-built-up areas against uncertainties in satellite data quality, such as cloud and haze contamination. Four scenes of Landsat data for each target years, 1990, 2000, 2005, and 2010, were chosen among the Landsat archive data with cloud contamination less than 20%.We developed a system with the algorithms on the Data Integration and Analysis System (DIAS in the University of Tokyo and processed 5200 scenes of Landsat data for cities with more than one million people worldwide.
Ak, Ronay; Fink, Olga; Zio, Enrico
The increasing liberalization of European electricity markets, the growing proportion of intermittent renewable energy being fed into the energy grids, and also new challenges in the patterns of energy consumption (such as electric mobility) require flexible and intelligent power grids capable of providing efficient, reliable, economical, and sustainable energy production and distribution. From the supplier side, particularly, the integration of renewable energy sources (e.g., wind and solar) into the grid imposes an engineering and economic challenge because of the limited ability to control and dispatch these energy sources due to their intermittent characteristics. Time-series prediction of wind speed for wind power production is a particularly important and challenging task, wherein prediction intervals (PIs) are preferable results of the prediction, rather than point estimates, because they provide information on the confidence in the prediction. In this paper, two different machine learning approaches to assess PIs of time-series predictions are considered and compared: 1) multilayer perceptron neural networks trained with a multiobjective genetic algorithm and 2) extreme learning machines combined with the nearest neighbors approach. The proposed approaches are applied for short-term wind speed prediction from a real data set of hourly wind speed measurements for the region of Regina in Saskatchewan, Canada. Both approaches demonstrate good prediction precision and provide complementary advantages with respect to different evaluation criteria.
Sofyan A. Gani
Full Text Available This study was done to study the learning strategies used by both low and high performance speaking students in developing their speaking skills as well as the differences between the learning strategies used by both groups of learners. The reason for conducting this research was the fact that the competency of many students in speaking English was still considered unsatisfactory in Banda Aceh. We postulated that one aspect involved in the process of developing speaking skills was the learning strategies used by the learners. In this study, the data was collected through field research by means of documents, questionnaires, and interviews. The result of this study indicated that high performance speaking students had better balance in using all kinds of learning strategies (memory, cognitive, compensatory, metacognitive, affective, and social for enhancing their speaking skills; the same could not be found with low performance speaking students. Besides, the high performance students employed more learning strategies consciously and appropriately compared to the low performance students. Based on the research results, it is suggested that students should be trained to be more aware of their own speaking learning strategies. They should use appropriate language learning strategies more consciously, purposefully, and frequently to be more successful in developing their speaking skills.
dr.ir. Quinta Kools
professional development through informal learning In planning professional development for teachers or teacher educators, very often a formal course or training is offered. There is a lack of attention for the fact that a lot of professional development takes place at work through so-called
Orphan, Victor J.
SAIC's development of VACIS provides useful 'lessons learned' in bridging the gap from an idea to a security or contraband detection product. From a gamma densitometer idea for solving a specific Customs Service (CS) requirement (detection of drugs in near-empty tanker trucks) in mid-1990's, SAIC developed a broad line of vehicle and cargo inspections systems (over 500 systems deployed to date) based on a gamma-ray radiographic imaging technique. This paper analyzes the reasons for the successful development of VACIS and attempts to identify ''lessons learned'' useful for future security and contraband detection product developments.
Development and learning are powerful agents of change across the lifespan that induce robust structural and functional plasticity in neural systems. An unresolved question in developmental cognitive neuroscience is whether development and learning share the same neural mechanisms associated with experience-related neural plasticity. In this article, I outline the conceptual and practical challenges of this question, review insights gleaned from adult studies, and describe recent strides toward examining this topic across development using neuroimaging methods. I suggest that development and learning are not two completely separate constructs and instead, that they exist on a continuum. While progressive and regressive changes are central to both, the behavioral consequences associated with these changes are closely tied to the existing neural architecture of maturity of the system. Eventually, a deeper, more mechanistic understanding of neural plasticity will shed light on behavioral changes across development and, more broadly, about the underlying neural basis of cognition. (c) 2010 Wiley-Liss, Inc.
James A. Ejiwale
Full Text Available The engagement of students in service learning will help them acquire and improve on necessary leadership skills required of them upon graduation. This is essential to help prepare and put the graduates of STEM programs at the forefront of employment in the new industrial revolution. It is therefore important that STEM majors should participate in service learning so as to discharge their civic responsibility and to improve their leadership skills. This paper addresses the forms, assessment and the need for service learning in STEM programs and how it can help develop the leadership skills of Â the participants.
The Sustainable Development Goal's "Education 2030" agenda includes an explicit focus on early childhood development. Target 4.2 states that all children are "developmentally on track" at the start of school. What does it mean for a child to be developmentally on track, and how should it be measured, especially in an…
Thomassen, Anja Overgaard; Stegeager, Nikolaj W.M.
This paper describes a research and development project funded by the Danish Ministry of Education. The project design differs in a number of ways from the way in which the Ministry of Education has traditionally supported development projects, as the process is more structured and schematized th...
Liang, Jennifer O.; Noll, Matthew; Olsen, Shayna
We have developed an upper-level undergraduate laboratory exercise that enables students to replicate a key experiment in developmental biology. In this exercise, students have the opportunity to observe live chick embryos and stain the apical ectodermal ridge, a key tissue required for development of the vertebrate limb. Impressively, every…
Kamp, Linda Manon
Both the Netherlands and Denmark started to develop wind energy in the 1970s. Reasons were the oil crisis and the Club of Rome report, which warned of imminent shortages of traditional energy sources like oil and gas. Both countries started this development around 1975 and their governments gave
Meng, Q.; Lee, M. H.; Hinde, C. J.
This paper presents a constructive learning approach for developing sensor-motor mapping in autonomous systems. The system’s adaptation to environment changes is discussed and three methods are proposed to deal with long term and short term changes. The proposed constructive learning allows autonomous systems to develop network topology and adjust network parameters. The approach is supported by findings from psychology and neuroscience especially during infants cognitive development at early stages. A growing radial basis function network is introduced as a computational substrate for sensory-motor mapping learning. Experiments are conducted on a robot eye/hand coordination testbed and results show the incremental development of sensory-motor mapping and its adaptation to changes such as in tool-use.
This article is an account of how the author developed a comprehensive understanding of human learning over a period of almost 50 years. The learning theory includes the structure of learning, different types of learning, barriers of learning as well as how individual dispositions, age, the learning environment and general social and societal…
An Apress entry on C++ skills accumulation book for Game developers. Retail/Trade sales potential exists in addition to the more likely sales to come from books as database engines as both C++ and Game Development are relevant terms. Charles River Media book out of print or no longer supported directly by the Publisher/sold direct by Publisher on Amazon anymore. This Apress book takes its place at least. Author is an expert game developer/programmer. C++ is still the primary programming language that the majority of game applications/apps rely upon in today's market.
Mawer, Giselle; Fletcher, Lee; McCall, Julia; O'Grady, Catherine; Ong, Bee Jong
Interweaving theory and commentary with case studies, this book explores a multifaceted approach to workplace education that develops workers' skills and integrates learning, language, and cross-cultural issues into work, communication, and management practices. Chapter 1 explores the changing world of work and implications for workforce skill…
Berlin, Donna F.; White, Arthur L.
This monograph presents a summary of the results of the Wingspread Conference in April, 1991 concerning the viability and future of the concept of integration of mathematics and science teaching and learning. The conference focused on three critical issues: (1) development of definitions of integration and a rationale for integrated teaching and…
Ashmore, M. Catherine; Pritz, Sandra G.
This unit on financing a small business, the eighth in a series of 18 modules, is on the second level of the revised PACE (Program for Acquiring Competence in Entrepreneurship) comprehensive curriculum. Geared to advanced secondary and beginning postsecondary or adult students, the modules provide an opportunity to learn about and try out…
Chou, Jui-Sheng; Ngo, Ngoc-Tri
Highlights: • This study develops a novel time-series sliding window forecast system. • The system integrates metaheuristics, machine learning and time-series models. • Site experiment of smart grid infrastructure is installed to retrieve real-time data. • The proposed system accurately predicts energy consumption in residential buildings. • The forecasting system can help users minimize their electricity usage. - Abstract: Smart grids are a promising solution to the rapidly growing power demand because they can considerably increase building energy efficiency. This study developed a novel time-series sliding window metaheuristic optimization-based machine learning system for predicting real-time building energy consumption data collected by a smart grid. The proposed system integrates a seasonal autoregressive integrated moving average (SARIMA) model and metaheuristic firefly algorithm-based least squares support vector regression (MetaFA-LSSVR) model. Specifically, the proposed system fits the SARIMA model to linear data components in the first stage, and the MetaFA-LSSVR model captures nonlinear data components in the second stage. Real-time data retrieved from an experimental smart grid installed in a building were used to evaluate the efficacy and effectiveness of the proposed system. A k-week sliding window approach is proposed for employing historical data as input for the novel time-series forecasting system. The prediction system yielded high and reliable accuracy rates in 1-day-ahead predictions of building energy consumption, with a total error rate of 1.181% and mean absolute error of 0.026 kW h. Notably, the system demonstrates an improved accuracy rate in the range of 36.8–113.2% relative to those of the linear forecasting model (i.e., SARIMA) and nonlinear forecasting models (i.e., LSSVR and MetaFA-LSSVR). Therefore, end users can further apply the forecasted information to enhance efficiency of energy usage in their buildings, especially
Boulden, George P.; De Laat, Richard
Pharma Development has used action learning to help participants in their 360[degrees] feedback programme develop their leadership competencies. The article describes how the programme was designed, supported and run across four sites over a period of 2 years. The programme was systematically evaluated and found to be successful in meeting its…
Hafaza Bibi Amod
Research significance: To develop a simulation learning package that uses high fidelity simulation to ... common cause of maternal mortality in South Africa and ... Framework cited by Jeffries (2007). ... nario development toolkits and various best practice guide- ..... analysis in nursing research: Concepts, procedures, and.
A practical, hands-on tutorial with step-by-step instructions. The book will follow a smooth and easy-to-follow tutorial approach, covering the essentials and then showing the readers how to write more sophisticated exploits.This book targets exploit developers, vulnerability analysts and researchers, network administrators, and ethical hackers looking to gain advanced knowledge in exploitation development and identifying vulnerabilities. The primary goal is to take readers wishing to get into more advanced exploitation discovery and reaching the next level.Prior experience exploiting basic st
After reviewing the evolution of attitudes to poverty and education we note how it influenced the early provision of schooling and the emergence of a global agenda for international development and universal education. At first, this agenda was grounded in the Enlightenment values that inspired the Universal Declaration of Human Rights but…
Bridges, Stephanie J
Pharmacy students start to develop their professional values through engagement with the course, practice exposure, staff and fellow students. Group working is an element of pedagogy which draws on the social aspects of learning to facilitate knowledge and skills development, but its potential role in facilitating professional identity formation has as yet been under researched. This study aimed to explore the potential of mutual learning through group work to contribute not only to academic knowledge and understanding, but also to the development of students' professional values and selves. Semi-structured interviews were conducted with 17 home and international first year undergraduate pharmacy students in a UK School of Pharmacy, to explore their experiences of interacting for learning with other students on the course. Thematic analysis of the interview data highlighted four main benefits of mutual learning, which are that it: promotes friendly interactions; aids learning about the subject and the profession; opens the mind through different opinions and ways of thinking; and enables learning about other people. Through working together students developed their communication skills and confidence; reflectively considered their own stance in the light of others' experiences and healthcare perspectives; and started to gain a wider worldview, potentially informing their future interactions with patients and colleagues. Some difficulties arose when group interactions functioned less well. Opportunity for collaboration and exchange can positively influence development of students' professional outlook and values. However, careful management of group working is required, in order to create a mutually supportive environment wherein students feel able to interact, share and develop together. Copyright © 2017 The Author. Published by Elsevier Inc. All rights reserved.
Shobande Abdul Olatunji
Full Text Available The role which financing human development plays in fostering the sectorial growth of an economy cannot be undermined. It is a key instrument which can be utilized to alleviate poverty, create employment and ensure the sustenance of economic growth and development. Thus financing human development for sectorial growth has taken the center stage of economic growth and development strategies in most countries. In a constructive effort to examine the in-depth relationship between the variables in the Nigerian space, this paper provides evidence on the impact of financing human development and sectorial growth in Nigeria between 1982 and 2016, using the Johansen co-integration techniques to test for co-integration among the variables and the Vector Error Correction Model (VECM to ascertain the speed of adjustment of the variables to their long run equilibrium position. The analysis shows that a long and short run relationship exists between financing human capital development and sectorial growth during the period reviewed. Therefore, the paper argues that for an active foundation for sustainable sectorial growth and development, financing human capital development across each unit is urgently required through increased budgetary allocation for both health and educational sectors since they are key components of human capital development in a nation.
Kyprianou, Marianna; Nikiforou, Eleni
Education is a field that constantly changes, which dictates the need for continuing teacher professional learning and development. Teacher professional learning and development can be divided into two categories: formal learning/ development and informal learning/development. This paper focuses on the experience of the presenters as coordinators…
James Spencer L
Full Text Available Abstract Background Income has been extensively studied and utilized as a determinant of health. There are several sources of income expressed as gross domestic product (GDP per capita, but there are no time series that are complete for the years between 1950 and 2015 for the 210 countries for which data exist. It is in the interest of population health research to establish a global time series that is complete from 1950 to 2015. Methods We collected GDP per capita estimates expressed in either constant US dollar terms or international dollar terms (corrected for purchasing power parity from seven sources. We applied several stages of models, including ordinary least-squares regressions and mixed effects models, to complete each of the seven source series from 1950 to 2015. The three US dollar and four international dollar series were each averaged to produce two new GDP per capita series. Results and discussion Nine complete series from 1950 to 2015 for 210 countries are available for use. These series can serve various analytical purposes and can illustrate myriad economic trends and features. The derivation of the two new series allows for researchers to avoid any series-specific biases that may exist. The modeling approach used is flexible and will allow for yearly updating as new estimates are produced by the source series. Conclusion GDP per capita is a necessary tool in population health research, and our development and implementation of a new method has allowed for the most comprehensive known time series to date.
This book assesses the developing vocational functions of schools in Britain, identifies vocational values and policies, and discovers gaps in provision. Chapter 1 gives a summary analysis of school structural and curricular developments between medieval times and the reign of Victoria that were inspired by vocational or economic influences or had…
Posner, Michael I.; Rothbart, Mary K.
"Educating the Human Brain" is the product of a quarter century of research. This book provides an empirical account of the early development of attention and self regulation in infants and young children. It examines the brain areas involved in regulatory networks, their connectivity, and how their development is influenced by genes and…
Since the first series of National Microcomputer Based Laboratory (MBL) Institutes for Teachers of Physics in Summer, 1987, the Activity Based Physics Group (ABP) has presented numerous professional development institutes and workshops to thousands of high school, college and university faculty, sponsored by National Science Foundation, U.S. Department of Education, Howard Hughes Medical Institute and others. An overview of these programs and details of our instructional strategies will be presented. Some common features of these include: (1) motivating participants through introduction to active learning research literature, including exposure to conceptual evaluations and student learning gains in traditional and active learning courses, (2) exposing participants to active learning strategies through intensive hands-on work using classroom tested curricular materials, (3) relying on these materials to enhance teacher knowledge and correct misconceptions---when necessary, (4) providing opportunities to practice active learning instruction with other participants and (5) distributing or facilitating procurement of equipment and supplies needed to get started. Recently, ABP group members have been working with physics educators from other countries to introduce active learning strategies in the developing world. New programs such as Active Learning in Optics and Photonics (ALOP, UNESCO) and Physware (ICTP/UNESCO/IUPAP), that support active learning using low-cost equipment, have been developed for this purpose. To date, ALOP workshops have been presented to over 500 secondary and college faculty in Ghana, Tunisia, Morocco, India, Tanzania, Brazil, Mexico, Zambia, Cameroon, Colombia, Nepal and Chile, and the ALOP Training Manual has been translated into French and Spanish. The first Physware workshop, held at ICTP in Trieste in 2009, had 32 participants most of whom were from developing countries in Africa, Asia and South America. These programs will be described. )
proposed four or five possible series that could be developed, each one aimed at a specific age group of students, or group of teachers. I was involved in the design of the series aimed at the youngest children, the Picture Book Science series. My involvement included proposing and researching topics, writing a lesson for the first show, writing the latter portion of the picture book story (the part including the scientific lesson), and illustrating the story. I also designed and collected the materials for the Learning Center's television studio set as well as finished the painting of the main backdrop panels.
Linenberger, Kimberly; Slade, Michael C.; Addis, Elizabeth A.; Elliott, Emily R.; Mynhardt, Glené; Raker, Jeffrey R.
As part of a Howard Hughes Program for Innovation in Science Education grant at Iowa State University, a series of interdisciplinary graduate teaching assistant learning communities (TALC) were developed. The purpose of these communities was to create an environment to facilitate teaching assistants' pedagogical development and training to enhance…
Hodge, Steven; Harvey, Jack
Learning and development (L&D) practitioners draw on a distinctive range of knowledge, skills and techniques in their work. Over the years, there have been attempts to capture this range and identify typical L&D roles. The research presented here was undertaken to identify characteristic areas of expertise (AOEs) of L&D practice in…
Background: The training of undergraduate midwifery students to identify and manage post-partum haemorrhage, is an essential skill in midwifery. Aim: The aim of this study was to develop, implement and evaluate a simulation learning package (SLP) on post-partum haemorrhage for undergraduate midwifery students ...
De Kraker, Joop; Cörvers, Ron
Sustainable development is a participatory, multi-actor process. In this process, learning plays a major role as participants have to exchange and integrate a diversity of perspectives and types of knowledge and expertise in order to arrive at innovative, jointly supported solutions. Virtual
Haemer, Hannah Deborah; Borges-Andrade, Jairo Eduardo; Cassiano, Simone Kelli
Purpose: This paper aims to investigate the prediction of current and evolutionary perceptions of professional development through five learning strategies at work and through training and how individual and job characteristics predict those strategies. Design/methodology/approach: Variables were measured in a cross-sectional survey, with 962…
This is an account of a programmer utilizing the application of action learning to the development of capacities of citizens. The Citizen Leadership for Democratic Governance is designed to equip citizens with the skills to get involved and handle the difficult tasks of governance in their communities in South Africa. After a history of apartheid…
Lansu, Angelique; Boon, Jo; Sloep, Peter; Van Dam-Mieras, Rietje
The didactic model of remote internships described in this study provides the flexibility needed to support networked learners, i.e. to facilitate the development and subsequent assessment of their competences. The heterogeneity of the participants (students, employers, tutors) in the learning
Legate, Julie Anne; Yang, Charles
In this article, we propose that the Root Infinitive (RI) phenomenon in child language is best viewed and explained as the interaction between morphological learning and syntactic development. We make the following specific suggestions: The optionality in RI reflects the presence of a grammar such as Chinese which does not manifest tense marking.…
Harmon, N. Paul; King, David R.
Examines the relationship between learning and development in the most general terms, discusses the developmental distinction between concrete and formal operational thought as manifested in adult behavior, and considers the implications of the concrete-formal dichotomy for the design and use of job aids. Notes and a bibliography are provided.…
Prof.Dr. E. Verbiest
In this contribution we report about a project about Professional Learning Communities.This project combines development and research. In this contribution we pay attention to the effect of the organisational capacity of a school on the personal and interpersonal capacity and to the impact of a
von Humboldt, Wilhelm
Although this edition of Wilhelm von Humboldt's "Linguistic Variability and Intellectual Development" is based entirely on the original German edition, the translators (George C. Buck and Frithjof A. Raven) and the publisher have attempted to clarify certain aspects of this work for the modern-day reader. These features include the addition of…
The development of the building acoustic prediction models in EN 12354 started twenty years ago, since the CPD made it necessary within Europe to link the acoustic performance of building products and elements to the performance of buildings. It concerned six acoustic aspects: airborne sound
Clark, Katherine M.; Hardman, Kyle O.; Schachtman, Todd R.; Saults, J. Scott; Glass, Bret A.; Cowan, Nelson
Recent advances in understanding visual working memory, the limited information held in mind for use in ongoing processing, are extended here to examine auditory working memory development. Research with arrays of visual objects has shown how to distinguish the capacity, in terms of the "number" of objects retained, from the…
This article deals with a brief biographical sketch of Joseph Fourier, his first celebrated work on analytical theory of heat, his first great discovery of Fourier series and Fourier transforms. Included is a historical development of Fourier series and Fourier transforms with their properties, importance and applications. Special emphasis is made…
International Journal of Medicine and Health Development ... engagement that can be utilized to design a national set of learning objectives towards improving learning ... Key words: Learning objectives, Nigeria, Medical education, curriculum ...
Abe, Camila Mayumi; Bretanha, Andreza Carolina; Bozza, Amanda; Ferraro, Gyovanna Junya Klinke; Lopes-Herrera, Simone Aparecida
The aim of the current study was to investigate verbal communication skills in children with typical language development and ages between 6 and 8 years. Participants were 10 children of both genders in this age range without language alterations. A 30-minute video of each child's interaction with an adult (father and/or mother) was recorded, fully transcribed, and analyzed by two trained researchers in order to determine reliability. The recordings were analyzed according to a protocol that categorizes verbal communicative abilities, including dialogic, regulatory, narrative-discursive, and non-interactive skills. The frequency of use of each category of verbal communicative ability was analyzed (in percentage) for each subject. All subjects used more dialogical and regulatory skills, followed by narrative-discursive and non-interactive skills. This suggests that children in this age range are committed to continue dialog, which shows that children with typical language development have more dialogic interactions during spontaneous interactions with a familiar adult.
Beaudette, Dylan E.; Brevik, Eric C.; Indorante, Samuel J.
The soil series concept is an ever-evolving understanding of soil profile observations, their connection to the landscape, and functional limits on the range in characteristics that affect management. Historically, the soil series has played a pivotal role in the development of soil-landscape theory, modern soil survey methods, and concise delivery of soils information to the end-user-- in other words, soil series is the palette from which soil survey reports are crafted. Over the last 20 years the soil series has received considerable criticism as a means of soil information organization (soil survey development) and delivery (end-user application of soil survey data), with increasing pressure (internal and external) to retire the soil series. We propose that a modern re-examination of soil series information could help address several of the long-standing critiques of soil survey: consistency across survey vintage and political divisions and more robust estimates of soil properties and associated uncertainty. A new library of soil series data would include classic narratives describing morphology and management, quantitative descriptions of soil properties and their ranges, graphical depiction of the relationships between associated soil series, block diagrams illustrating soil-landscape models, maps of series distribution, and a probabilistic representation of a "typical" soil profile. These data would be derived from re-correlation of existing morphologic and characterization data informed by modern statistical methods and regional expertise.
In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…
Full Text Available The primary goal of all organisations is efficiency of human resources. Therefore activities as HR controlling, performance management but also cutting costs are the main theme. Current organisations need to monitor human resources to keep their competitiveness. Thus paper describes the key factor of organisational efficiency - employee education, talent management and the necessity to retain skilled employees. The aim of the paper is to reveal the current approach in organisations to education and learning based on primary survey of employees. The data were collected using quantitative primary survey in Czech organisations across sectors. The questionnaire was compiled based on the theoretical background. The paper has been processed based on the analysis of secondary sources, outcome synthesis and the evaluation of results of a questionnaire survey. The data were analysed using descriptive statistic, correlation analysis and factor analysis. The SPSS programme was used for the analyses. The outcomes were categorized and the analyses revealed the main factors affecting organisational approach to employee learning and development. The results identify three possible approaches in organisations to employee learning and development. The first type of organisations educates employees by their own rules, second type does not support education of employees in any way, it is only an interest of employees themselves and thirdly knowledgeable employees were identified as those employees do as much as possible to learn and grow and they choose job position in order to develop constantly. The results can be taken into account in further analysis and in organisation of adult education.
... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn About the Proposed NOAA Climate Service AGENCY: Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration (NOAA...
Full Text Available Despite the introduction of improved educational strategies, the concept of life-long learning remains unfulfilled in a number of areas. Experts believe that even the best designed programs do not achieve their goals. What is the problem? It seems that a great deal depends on each individual student who must be not only capable of learning but also willing to approach learning in a permanent fashion . The author believes that to achieve the goal of life-long learning an enormous amount of energy must be devoted to the institutionalised forms of regular education to which each individual is exposed over the course of many years. Right at the beginning, teachers as educators must recognize the child as a »person in formation « and create a kind of » ped agogical eros« which facilitates not only mental development but also the development of personality (emotional, motivational etc.. The teacher's concept of teaching and learning is therefore of the utmost importance because it influences the pupil's attitude toward education. The style of teaching and the teacher's role in the educational process is extremely significant. Within standard educational formats, these various influences should be addressed and improved. The method of every teacher gradually evolves. Instead of the »substitutive method of teaching« - which is popular in Slovenia- teachers could progressively embrace a more »process-oriented way of teaching« which enables teacher and pupil to share responsibility for preparing class work, implementing and balancing learning, evaluating achievements and maintaining motivation and concentration.
Grandy, Christopher [Argonne National Lab. (ANL), Argonne, IL (United States)
In fiscal year 2007, the Advanced Burner Reactor project initiated an educational seminar series for the Department of Energy (DOE) and Nuclear Regulatory Commission (NRC) personnel on various aspects of fast reactor fuel cycle closure technologies. This important work was initiated to inform DOE and NRC personnel on initial details of sodium-cooled fast reactor, separations, waste form, and safeguard technologies being considered for the Advanced Fuel Cycle Research and Development program, and to learn the important lesson from the licensing process for the Clinch River Breeder Reactor Plant that educating the NRC staff early in the regulatory process is very important and critical to a project success.
Tohir, M.; Abidin, Z.; Dafik; Hobri
Arithmetics is one of the topics in Mathematics, which deals with logic and detailed process upon generalizing formula. Creativity and flexibility are needed in generalizing formula of arithmetics series. This research aimed at analyzing students creative thinking skills in generalizing arithmetic series. The triangulation method and research-based learning was used in this research. The subjects were students of the Master Program of Mathematics Education in Faculty of Teacher Training and Education at Jember University. The data was collected by giving assignments to the students. The data collection was done by giving open problem-solving task and documentation study to the students to arrange generalization pattern based on the dependent function formula i and the function depend on i and j. Then, the students finished the next problem-solving task to construct arithmetic generalization patterns based on the function formula which depends on i and i + n and the sum formula of functions dependent on i and j of the arithmetic compiled. The data analysis techniques operative in this study was Miles and Huberman analysis model. Based on the result of data analysis on task 1, the levels of students creative thinking skill were classified as follows; 22,22% of the students categorized as “not creative” 38.89% of the students categorized as “less creative” category; 22.22% of the students categorized as “sufficiently creative” and 16.67% of the students categorized as “creative”. By contrast, the results of data analysis on task 2 found that the levels of students creative thinking skills were classified as follows; 22.22% of the students categorized as “sufficiently creative”, 44.44% of the students categorized as “creative” and 33.33% of the students categorized as “very creative”. This analysis result can set the basis for teaching references and actualizing a better teaching model in order to increase students creative thinking skills.
Learn Objective-C for Java Developers will guide experienced Java developers into the world of Objective-C. It will show them how to take their existing language knowledge and design patterns and transfer that experience to Objective-C and the Cocoa runtime library. This is the express train to productivity for every Java developer who dreamt of developing for Mac OS X or iPhone, but felt that Objective-C was too intimidating. So hop on and enjoy the ride!
Making decisions over multivariate time series is an important topic which has gained significant interest in the past decade. A time series is a sequence of data points which are measured and ordered over uniform time intervals. A multivariate time series is a set of multiple, related time series in a particular domain in which domain experts…
Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.
dr. Donald Ropes
Purpose – To illustrate the possibilities of implementing intergenerational learning as a strategy for promoting older worker learning and development. Design/methodology/approach – Review of literature. Findings – Intergenerational learning is theoretically a natural and effective way for
Andrews, Brian; Gibbons, Robin; Wheeler, Garry
Potentially, functional electrical stimulation (FES)-assisted exercise may have an important therapeutic role in reducing comorbidities associated with spinal cord injury (SCI). Here, we present an overview of these secondary life-threatening conditions, discuss the rationale behind the development of a hybrid exercise called FES rowing, and describe our experience in developing FES rowing technology. FES rowing and sculling are unique forms of adaptive rowing for those with SCI. The paralyzed leg musculature is activated by multiple channels of electrical pulses delivered via self-adhesive electrodes attached to the skin. The stimulated muscle contractions are synchronized with voluntary rowing movements of the upper limbs. A range of steady-state FES rowing exercise intensities have been demonstrated from 15.2 ± 1.8 mL/kg/min in tetraplegia to 22.9 ±7.1 mL/kg/min in paraplegia. We expect that such high levels may help some to achieve significant reductions in the risks to their health, particularly where a dose-response relationship exists as is the case for cardiovascular disease and Type II diabetes. Furthermore, preliminary results suggest that cyclical forces more than 1.5 times body weight are imposed on the leg long bones which may help to reduce the risk of fragility fractures. We have demonstrated the feasibility of FES rowing on land and water using adapted rowing technology that includes; a fixed stretcher indoor ergometer (adapted Concept 2, Model E), a floating stretcher indoor ergometer (adapted Concept 2 Dynamic), a turbine powered water rowing tank, a custom hydraulic sculling simulator and a single scull (adapted Alden 16). This has involved volunteers with paraplegia and tetraplegia with SCI ranging from C4 to T12 AIS A using at least 4-channels of surface electrical stimulation. FES rowers, with SCI, have competed alongside non-SCI rowers over the Olympic distance of 2000 m at the British Indoor Rowing Championships in 2004, 2005, and 2006
Garavan, Thomas N.
Describes distinctions between learning, training, development, and education and illustrates how different models of human resource management/development influence their meaning. Concludes that training, development, and education are an integrated whole linked by the concept of learning. (SK)
Using Sorafenib as a starting point, a series of potent and selective inhibitors of CDK8 was developed. When cocrystallized with CDK8 and cyclin C, these compounds exhibit a Type-II (DMG-out) binding mode. PMID:27326333
Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey
The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…
Shahbaz, Muhammad; Solarin, Sakiru Adebola; Mahmood, Haider
This study deals with the question whether financial development reduces CO2 emissions or not in case of Malaysia. For this purpose, we apply the bounds testing approach to cointegration for long run relations between the variables. The study uses annual time series data over the period 1971-2008. Ng-Perron stationarity test is applied to test the unit root properties of the series. Our results validate the presence of cointegration between CO2 emissions, financial development, energy co...
Niazmardi, S.; Safari, A.; Homayouni, S.
Crop mapping through classification of Satellite Image Time-Series (SITS) data can provide very valuable information for several agricultural applications, such as crop monitoring, yield estimation, and crop inventory. However, the SITS data classification is not straightforward. Because different images of a SITS data have different levels of information regarding the classification problems. Moreover, the SITS data is a four-dimensional data that cannot be classified using the conventional classification algorithms. To address these issues in this paper, we presented a classification strategy based on Multiple Kernel Learning (MKL) algorithms for SITS data classification. In this strategy, initially different kernels are constructed from different images of the SITS data and then they are combined into a composite kernel using the MKL algorithms. The composite kernel, once constructed, can be used for the classification of the data using the kernel-based classification algorithms. We compared the computational time and the classification performances of the proposed classification strategy using different MKL algorithms for the purpose of crop mapping. The considered MKL algorithms are: MKL-Sum, SimpleMKL, LPMKL and Group-Lasso MKL algorithms. The experimental tests of the proposed strategy on two SITS data sets, acquired by SPOT satellite sensors, showed that this strategy was able to provide better performances when compared to the standard classification algorithm. The results also showed that the optimization method of the used MKL algorithms affects both the computational time and classification accuracy of this strategy.
This thesis analyzes the appropriateness of the formula defined by the game 'Guitar Hero' in an application, which aims to help it's users learn how to play the piano. The appropriateness is determined through the development of an application. The thesis describes an attempt at the development of a game, the primary intention of which is to be fun, with the secondary purpose of teaching how to play the piano. After this, it describes an attempt at the development of an application, the p...
Vladimir D. Shadrikov
Full Text Available A system genetics approach has been employed to study students’ mental development.Ability development is considered in terms of mastering of intellectualoperations. The study endeavors to identify the components of certain abilitiesconsciously acquired by a student in the process of learning. The study was arrangedin two directions: the teaching of students to master intellectual operationsand use them in their work with training materials, and psychological testingof control and experimental student groups before and after training tests todiagnose the level of intellectual development. The study involved teachers andstudents of primary and secondary school.
Bang Mathiasen, John
The subject matter chosen for this PhD, learning within a Product Development (PD) working practice, might give rise to wonder given that I have a theoretical education within supply chain management, achieved practical experience as senior supply chain manager and finally, conducted a great many lectures dealing with supply chain management. Offhand, it may seem an odd choice, but my practical experience, briefly illustrated in the below, triggered the decision to study learni...
Zhuang, Enyu; Small, Michael; Feng, Gang
A time series representing the developed financial markets' segmentation from 1973 to 2012 is studied. The time series reveals an obvious market integration trend. To further uncover the features of this time series, we divide it into seven windows and generate seven visibility graphs. The measuring capabilities of the visibility graphs provide means to quantitatively analyze the original time series. It is found that the important historical incidents that influenced market integration coincide with variations in the measured graphical node degree. Through the measure of neighborhood span, the frequencies of the historical incidents are disclosed. Moreover, it is also found that large "cycles" and significant noise in the time series are linked to large and small communities in the generated visibility graphs. For large cycles, how historical incidents significantly affected market integration is distinguished by density and compactness of the corresponding communities.
Yulija Mihajlovna Tsarapkina
Full Text Available The article is devoted to the actual problem of distance education potential and prospects research in the Russian education system. According to the UNESCO estimates, if the current trend continues, then the number of people with a firm desire to receive an education would increase from 165 millions to 263 millions [7, 12]. Thus 98 million qualified students worldwide will be excluded from higher education due to a shortage of university seats. The purpose of the study is to analyze the historical and present state of the problem, to identify the potential and prospects of the development in distance learning within higher education. The methodological base of the research has become common methods of pedagogical sciences: pedagogical observation, survey, questionnaire, testing, comparative analysis, pedagogical experiment. The analytical review has shown several problem areas within distance learning, such as student’s motivation while distance course learning and training efficiency as compared to full-time university training. Combination of full-time training and distance learning leads to 31% enhancement of training efficiency and shows a sustainable increase of student’s motivation.
Breivik, Patricia Senn
This book discusses resource-based learning in higher education. One premise of resource-based learning is that as students become able to select their own learning materials from information resources, they become active, independent learners, while professors become learning facilitators in cooperation with librarians and other information…
Armour, Kathleen M.; Yelling, Martin
This paper reports data from the third phase of a 2-year investigation into continuing professional development (CPD) for physical education teachers in England. The purpose of this phase was to examine the ways in which 10 case study teachers engaged in professional learning over the course of 1 academic year. Data were collected from a series of…
A 3-week laboratory module was developed for an undergraduate microbiology course that would connect student learning to a real-life challenge, specifically a local water-quality project. The laboratory series included multiple field trips, sampling of soil and water, and subsequent analysis for bacteria and nitrate. Laboratory results confirmed…
Since the early 1990's, the OECD Nuclear Energy Agency (NEA) has offered its member countries a forum for improving efficiency and effectiveness in nuclear emergency management, with a particular focus on international aspects. A central approach to this has been the International Nuclear Emergency Exercise (INEXI series. Since 1993, the INEX series has proved successful in testing and advancing arrangements for nuclear emergency response. INEX 1, 2 and 2000, which focused on early-phase issues, provided a unique forum to test arrangements and concepts for international nuclear emergency management, particularly international communications, coordination and decision-making. Importantly, these exercises established a recognised international nuclear emergency exercise culture. The most recent exercise, INEX 3, was developed in response to international interest in longer term post-emergency issues. Conducted in 2005-2006, INEX 3 focused on later-phase consequence management issues following discovery of serious radio-logical contamination in the environment. The post-exercise evaluation identified several aspects of national consequence management which would benefit from international cooperation, and to which the international community could usefully contribute as part of planning and preparedness. (author)
Eagleton, Saramarie; Muller, Anton
In this report, a model was developed for whole brain learning based on Curry's onion model. Curry described the effect of personality traits as the inner layer of learning, information-processing styles as the middle layer of learning, and environmental and instructional preferences as the outer layer of learning. The model that was developed…
Hariadi, Bambang; Dewiyani Sunarto, M. J.; Sudarmaningtyas, Pantjawati
This study aimed to develop a web-based learning application as a form of learning revolution. The form of learning revolution includes the provision of unlimited teaching materials, real time class organization, and is not limited by time or place. The implementation of this application is in the form of hybrid learning by using Google Apps for…
This article looks at the way in which people perceive learning and the impact of these perceptions on teaching methods within the context of learning development in distance education. The context could, in fact, be any type of teaching and learning environment. The point is to balance approaches to teaching and learning ...
Hirschi, Jane S.
"Ripe for Change: Garden-Based Learning in Schools" takes a big-picture view of the school garden movement and the state of garden-based learning in public K--8 education. The book frames the garden movement for educators and shows how school gardens have the potential to be a significant resource for teaching and learning. In this…
Nothnagle, Melissa; Reis, Shmuel; Goldman, Roberta E; Anandarajah, Gowri
Residency training is a critical time for physicians' professional formation. However, few structured interventions exist to support residents in this transformative process of integrating personal and professional values, a process that is essential to physician identity formation and preservation of core values such as service and compassion. The authors created a seminar series, the "Forum," to support resident professional formation and address the hidden curriculum as part of a larger intervention to support self-directed learning skills such as goal setting and reflection. Ninety-minute sessions with senior residents and faculty held every other month include opportunities for individual reflection, small- and large-group discussion, and brief didactic components focused on skills such as teaching and leadership. The qualitative program evaluation included analyses of individual semistructured interviews with resident and faculty participants from 2008 to 2011 and of notes recorded by an observer during the 1st year's sessions. Residents appreciated the focus on relevant issues, presence of faculty, opportunities for reflection and interactivity, and inclusion of practical skills. Effects attributed to the Forum included gaining practical skills, feeling a deeper connection to one another and a sense of community, and recognizing progress in their own professional development and growth. Elements described in the literature as essential to professional formation, including encouraging reflection, use of narrative, role modeling, addressing the hidden curriculum, and fostering an authentic community, were recognized by participants as integral to the Forum's success. A group forum for reflection and discussion with peers and role models, tailored to local needs, offers an effective structure to foster professional formation in residency.
Sukamto, R. A.; Prabawa, H. W.; Kurniawati, S.
Programming skill is an important skill for computer science students, whereas nowadays, there many computer science students are lack of skills and information technology knowledges in Indonesia. This is contrary with the implementation of the ASEAN Economic Community (AEC) since the end of 2015 which is the qualified worker needed. This study provided an effort for nailing programming skills by mapping program code to visual analogies as learning media. The developed media was based on state machine and compiler principle and was implemented in C programming language. The state of every basic condition in programming were successful determined as analogy visualization.
White, Meagan; Shellenbarger, Teresa
E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.
Kusumaningrum, Indrati; Hidayat, Hendra; Ganefri; Anori, Sartika; Dewy, Mega Silfia
This article describes the development of a business plan by using production-based learning approach. In addition, this development also aims to maximize learning outcomes in vocational education. Preliminary analysis of curriculum and learning and the needs of the market and society become the basic for business plan development. To produce a…
Fischer, A. M.; Lucieer, V.; Burke, C.
Enhanced numerical competency to navigate the massive data landscapes are critical skills students need to effectively explore, analyse and visualize complex patterns in high-dimensional data for addressing the complexity of many of the world's problems. This is especially the case for interdisciplinary, undergraduate applied marine science programs, where students are required to demonstrate competency in methods and ideas across multiple disciplines. In response to this challenge, we have developed a series of repository-based data exploration, analysis and visualization modules in MATLAB for integration across various attending and online classes within the University of Tasmania. The primary focus of these modules is to teach students to collect, aggregate and interpret data from large on-line marine scientific data repositories to, 1) gain technical skills in discovering, accessing, managing and visualising large, numerous data sources, 2) interpret, analyse and design approaches to visualise these data, and 3) to address, through numerical approaches, complex, real-world problems, that the traditional scientific methods cannot address. All modules, implemented through a MATLAB live script, include a short recorded lecture to introduce the topic, a handout that gives an overview of the activities, an instructor's manual with a detailed methodology and discussion points, a student assessment (quiz and level-specific challenge task), and a survey. The marine science themes addressed through these modules include biodiversity, habitat mapping, algal blooms and sea surface temperature change and utilize a series of marine science and oceanographic data portals. Through these modules students, with minimal experience in MATLAB or numerical methods are introduced to array indexing, concatenation, sorting, and reshaping, principal component analysis, spectral analysis and unsupervised classification within the context of oceanographic processes, marine geology and
Santos, Tiago; Kern, Roman
This paper provides an overview of current literature on time series classification approaches, in particular of early time series classification. A very common and effective time series classification approach is the 1-Nearest Neighbor classier, with different distance measures such as the Euclidean or dynamic time warping distances. This paper starts by reviewing these baseline methods. More recently, with the gain in popularity in the application of deep neural networks to the eld of...
Over more than three decades spent researching cultural aspects of how children learn, the author has had the opportunity to learn about how individuals and cultural communities change and continue. During her research on children's learning by observing and "pitching in" in a Mayan community in Guatemala, the author learned a great deal…
Vos, Henk; de Graaff, E.
The reasons to introduce formats of Active Learning in Engineering (ALE) like project work, problem based learning, use of cases, etc., are mostly based on practical experience and sometimes from applied research on teaching and learning. Such research shows that students learn more and different
Brix, Jacob; Lauridsen, Karen M.
Issues of innovation and knowledge management are often treated from an organisational learning perspective. As a complement to this, there is a vast potential in the strategic enhancement of individual learning by implementing learning styles profiles and creating personal learning strategies...... for management and employees in a knowledge based organisation. Based on an action-research case study, we offer an example of how learning styles affects individual learning and thus personal knowledge creation in practice. The paper argues that innovation and knowledge management is enhanced and facilitated...... in practice by working with the learning styles of individuals and groups/teams....
Sulkava, M. (Helsinki Univ. of Technology, Espoo (Finland). Computer and Information Science)
Data analysis methods play an important role in increasing our knowledge of the environment as the amount of data measured from the environment increases. This thesis fits under the scope of environmental informatics and environmental statistics. They are fields, in which data analysis methods are developed and applied for the analysis of environmental data. The environmental data studied in this thesis are time series of nutrient concentration measurements of pine and spruce needles. In addition, there are data of laboratory quality and related environmental factors, such as the weather and atmospheric depositions. The most important methods used for the analysis of the data are based on the self-organizing map and linear regression models. First, a new clustering algorithm of the self-organizing map is proposed. It is found to provide better results than two other methods for clustering of the self-organizing map. The algorithm is used to divide the nutrient concentration data into clusters, and the result is evaluated by environmental scientists. Based on the clustering, the temporal development of the forest nutrition is modeled and the effect of nitrogen and sulfur deposition on the foliar mineral composition is assessed. Second, regression models are used for studying how much environmental factors and properties of the needles affect the changes in the nutrient concentrations of the needles between their first and second year of existence. The aim is to build understandable models with good prediction capabilities. Sparse regression models are found to outperform more traditional regression models in this task. Third, fusion of laboratory quality data from different sources is performed to estimate the precisions of the analytical methods. Weighted regression models are used to quantify how much the precision of observations can affect the time needed to detect a trend in environmental time series. The results of power analysis show that improving the
Bao, Wei; Yue, Jun; Rao, Yulei
The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long-short term memory (LSTM) are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock price forecasting for the first time. The deep learning framework comprises three stages. First, the stock price time series is decomposed by WT to eliminate noise. Second, SAEs is applied to generate deep high-level features for predicting the stock price. Third, high-level denoising features are fed into LSTM to forecast the next day's closing price. Six market indices and their corresponding index futures are chosen to examine the performance of the proposed model. Results show that the proposed model outperforms other similar models in both predictive accuracy and profitability performance.
Bao, Wei; Rao, Yulei
The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long-short term memory (LSTM) are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock price forecasting for the first time. The deep learning framework comprises three stages. First, the stock price time series is decomposed by WT to eliminate noise. Second, SAEs is applied to generate deep high-level features for predicting the stock price. Third, high-level denoising features are fed into LSTM to forecast the next day’s closing price. Six market indices and their corresponding index futures are chosen to examine the performance of the proposed model. Results show that the proposed model outperforms other similar models in both predictive accuracy and profitability performance. PMID:28708865
Full Text Available The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT, stacked autoencoders (SAEs and long-short term memory (LSTM are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock price forecasting for the first time. The deep learning framework comprises three stages. First, the stock price time series is decomposed by WT to eliminate noise. Second, SAEs is applied to generate deep high-level features for predicting the stock price. Third, high-level denoising features are fed into LSTM to forecast the next day's closing price. Six market indices and their corresponding index futures are chosen to examine the performance of the proposed model. Results show that the proposed model outperforms other similar models in both predictive accuracy and profitability performance.
Marshall, Stephen J.
Purpose: The purpose of this paper is to discuss and demonstrate the relevance of a new conceptual framework for leading and managing the development of learning and teaching to e.learning strategy development. Design/methodology/approach: After reviewing and discussing the research literature on e.learning in higher education institutions from…
Gibson, David; Aldrich, Clark; Prensky, Marc
Games and Simulations in Online Learning: Research and Development Frameworks examines the potential of games and simulations in online learning, and how the future could look as developers learn to use the emerging capabilities of the Semantic Web. It presents a general understanding of how the Semantic Web will impact education and how games and…
Yang, Jin, Ed.; Schneller, Chripa, Ed.; Roche, Stephen, Ed.
There is no doubt that universities have a vital role to play in promoting lifelong learning. This publication presents possible ways of expanding and transforming higher education to facilitate lifelong learning in different socio-economic contexts. Nine articles address the various dimensions of the role of higher education in promoting lifelong…
Marx, Jonathan I.; Miller, Lee Q.
Although the title of the course, Combating Loneliness among Older People in Contemporary Society, states a clear goal, our service-learning class was shaped by five guiding parameters. By avoiding certain things, we allowed the course to self-organize and evolve into a learning experience beyond the one originally envisioned. This paper…
Koper, Rob; Specht, Marcus
Koper, R., & Specht, M. (2008). Ten-Competence: Life-Long Competence Development and Learning. In M-A. Cicilia (Ed.), Competencies in Organizational e-learning: concepts and tools (pp. 234-252). Hershey: IGI-Global.
Mark, Michael; Menson, Betty
As personal portfolio assessment matures, practitioners continue to look for techniques that enhance both personal development and the process of seeking academic credit through assessment. Kolb's experiential learning theory and learning style inventory may have applications in this search. (Author)
The development of metacognitive-based genetic learning Instruments at senior ... The results of the research are learning instrument product and textbook whose ... that these instruments have satisfied the criteria: very valid and very ideal.
Specht, M. (2011). CELSTEC Learning Labs: Mobile App Development for Education and Training. Presentation given in Workshop at CELSTEC Learning Lab for Bluetea. February, 21, 2011, Heerlen, The Netherlands.
Tsolaridis, Georgios; Ilves, Kalle; Reigosa, Paula Diaz
A new MATLAB/Simulink-based modeling platform has been developed for SiC MOSFET power modules. The modeling platform describes the electrical behavior f a single 1.2 kV/ 350 A SiC MOSFET power module, as well as the series connection of two of them. A fast parameter initialization is followed...... by an optimization process to facilitate the extraction of the model’s parameters in a more automated way relying on a small number of experimental waveforms. Through extensive experimental work, it is shown that the model accurately predicts both static and dynamic performances. The series connection of two Si......C power modules has been investigated through the validation of the static and dynamic conditions. Thanks to the developed model, a better understanding of the challenges introduced by uneven voltage balance sharing among series connected devices is possible....
Salamah, Irma; Ganiardi, M. Aris
E-learning software is a product of information and communication technology used to help dynamic and flexible learning process between teacher and student. The software technology was first used in the development of e-learning software in the form of web applications. The advantages of this technology because of the ease in the development, installation, and distribution of data. Along with advances in mobile/wireless electronics technology, e-learning software is adapted to this technology...
Sonia Piscayanti Kadek
Full Text Available Mindful Learning has been widely used in education nowadays, due to its significant and valuable impacts towards learning. Mindful learning is an effective tool to enhance students’ awareness of learning, students’ engagement with the context of learning and students’ flexibility towards new ideas in learning. The three main characteristics of mindful learning above raise students’ motivation and ownership of learning. It is shaping the students new perspective and leading them to powerful impact of learning. This is a descriptive qualitative research on the use of mindful learning in Professional Development Course in English Education Department Ganesha University of Education. The subjects are 73 students of sixth semester in academic year 2016/2017. Mindful Learning is used as a powerful strategy to enhance the students’ achievement in learning. It is implemented through 16 meetings consisted of lectures, discussions, presentations and final projects. They are assessed by reflective journal, presentation notes, and final projects. At the end, the result showed that the power of mindful learning gives significant effect towards learning achievement. It showed that not only the mindful learning is effective for the learning but also productive in improving the students’ creativity and critical thinking.
van der Sluis, E.C.; Poell, R.F.
This study focuses on the individual career development process of M.B.A.s on the job, in an era emphasizing personal responsibility for learning and development. The impact of learning opportunities and individual learning behavior was analyzed through repeated measures. Hierarchical regressions
Full Text Available Rosemin Kassam,1 Mona Kwong,1 John B Collins21Faculty of Pharmaceutical Sciences, 2Department of Educational Studies, University of British Columbia, Vancouver, CanadaIntroduction: Accreditation bodies across North America have adopted revised standards that place increased emphasis on experiential education and preceptors to promote and demonstrate patient-centered, pharmaceutical care practices to students. Since such practices are still evolving, challenges exist in recruiting skilled preceptors who are prepared to provide such opportunities. An online educational module series titled "A Guide to Pharmaceutical Care" (The Guide was developed and evaluated to facilitate this transition. The objectives of this paper are: (1 to describe the development of the modules; and (2 to present the evaluation results from its pilot testing.Methods: The Guide was developed as an online, self-directed training program. It begins by providing an overview of patient care (PC philosophy and practice, and then discusses the tools that facilitate PC. It also provides a range of tips to support students as they provide PC during their experiential learning. Pharmacists participating in the pilot study were recruited using purposive and snowball sampling techniques. A pre–post quantitative survey with additional open-ended questions was used to evaluate the modules.Results: The modules incorporated a variety of teaching strategies: self-reflection exercises, quizzes to review important concepts, quick tips, flash cards, and video clips to illustrate more in-depth learning. Thirty-two pharmacists completed the pre–post assessment and reported significant increases in their confidence because of this training. The most influenced outcome was "Application of techniques to facilitate learning opportunities that enable pharmacy students to practice pharmaceutical care competencies." They also indicated that the training clarified necessary changes in their
WEISENBURGER, RAY B.
PART OF A KANSAS STATE UNIVERSITY SERIES ON COMMUNITY PLANNING AND DEVELOPMENT, THIS MONOGRAPH DISCUSSES THE STAGES IN THE PREPARATION AND IMPLEMENTATION OF COMPREHENSIVE URBAN SCHEMES. FIRST OF ALL, SOCIAL ACCEPTANCE, ECONOMIC, FEASIBILITY, POLITICAL RESPONSIBILITY, AND ENVIRONMENTAL SATISFACTION ARE VITAL TO SUCCESSFUL PLANNING. ORGANIZATION FOR…
Miller, Diane M.; Chengelis Czegan, Demetra A.
This paper describes assignments that have been implemented in a General Chemistry I course to promote science literacy. This course was chosen in particular because it reaches a broad audience, which includes nonscience majors. The assignment series begins with several discussions and tasks to develop information literacy, in which students find…
Abbott, Claire Johnson; McKnight, Katherine
Collaborative learning teams have emerged as an effective tool for teachers to steadily and continuously improve their instruction. Evidence also suggests that a learning teams model can affect school leadership as well. We explored the impact of learning teams on leadership roles of principals and teachers in secondary schools and found that…
highly inter- active, information-saturated, and global environment is tougher than ever. Mission success requires knowledge-enabled Airmen who...and learning aids. According to the eLearning Guild, over 30 percent of organizations surveyed currently deliver some amount of learning content
Dore, Ronald; Sako, Mari
This book examines how the Japanese learn to work by exploring the following topics: common assumptions about vocational education and training (VET) that Japan brings into question; Japan's general education system and the moral quality and prestige status of the teaching and learning process; screening processes within Japan's education system…
This publication is part of our five-strand research project "Flexible Pedagogies: preparing for the future". It focuses on a better understanding of technology-enhanced learning (TEL) and: (1) identifies key international drivers in the move towards technology-enhanced learning; (2) highlights some of the challenges and opportunities…
This book is for novices as well as proficient game developers who want to learn more about game development using Swift. If you are from a 2D game development background and would like to learn the basics of 3D game development, this book is for you. Additionally, if you want to learn the basics of graphics programming and shaders, this book will be a good starting point.
George Maher Iskander
Full Text Available As e-learning tend to get more and more significant for all kind of universities, researchers and consultants are becoming aware of the fact that a high technology approach and Blackboard do not guarantee successful teaching and learning. Thus, a move to pedagogy-based theories can be observed within the field of e-learning. This study describes the procedure of the development of an empirically-based psychometrically-sound instrument to measure instructional model for e-learning system at Middle East universities. In order to accelerate the acceptance of e-learning and implementation of institution-wide adoption of e-learning, it is important to understand students' perceptions with instructional model for e- learning. The 19-item scale developed shows a high probability of differentiating between positive and negative perceptions and the methods which can be used for embedding the traditional learning theories into e-learning.
Full Text Available One of the approaches for forecasting future values of a time series or unknown spatial data is kriging. The main objective of the paper is to introduce a general scheme of kriging in forecasting econometric time series using a family of linear regression time series models (shortly named as FDSLRM which apply regression not only to a trend but also to a random component of the observed time series. Simultaneously performing a Monte Carlo simulation study with a real electricity consumption dataset in the R computational langure and environment, we investigate the well-known problem of “negative” estimates of variance components when kriging predictions fail. Our following theoretical analysis, including also the modern apparatus of advanced multivariate statistics, gives us the formulation and proof of a general theorem about the explicit form of moments (up to sixth order for a Gaussian time series observation. This result provides a basis for further theoretical and computational research in the kriging methodology development.
The main objectives of this thesis are: to investigate technological change and cost reduction for a number of renewable electricity technologies by means of the experience curve approach; to address related methodological issues in the experience curve approach, and, based on these insights; and to analyze the implications for achieving the Dutch renewable electricity targets for the year 2020 within a European context. In order to meet these objectives, a number of research questions have been formulated: What are the most promising renewable electricity technologies for the Netherlands until 2020 under different technological, economic and environmental conditions?; To what extent is the current use of the experience curve approach to investigate renewable energy technology development sound, what are differences in the utilization of this approach and what are possible pitfalls?; How can the experience curve approach be used to describe the potential development of partially new energy technologies, such as offshore wind energy? Is it possible to describe biomass fuel supply chains with experience curves? What are the possibilities and limits of the experience curve approach when describing non-modular technologies such as large (biomass) energy plants?; What are the main learning mechanisms behind the cost reduction of the investigated technologies?; and How can differences in the technological progress of renewable electricity options influence the market diffusion of renewable electricity technologies, and what implications can varying technological development and policy have on the implementation of renewable electricity technologies in the Netherlands? The development of different renewable energy technologies is investigated by means of some case studies. The possible effects of varying technological development in combination with different policy backgrounds are illustrated for the Netherlands. The thesis focuses mainly on the development of investment
Sarsar, Firat; Kisla, Tarik
Although emotions are not a new topic in learning environments, the emerging technologies have changed not only the type of learning environments but also the perspectives of emotions in learning environments. This study designed to develop a survey to assist online instructors to understand students' emotional statement in online learning…
Full Text Available Distributed Icarning environments and content often lack a common basis for the cxchange of learning materials. This delays, or even hinders, both innovation and delivery of learning tecnology. Standards for platforms and authoring may provide a way to improve interoperability and cooperative development. This article provides an XML-based approach to this problem creaied by the IMS Global Learning Consortium.
Suss, Kurt; Oberhofer, Thomas
Suggests that distributed learning environments and content often lack a common basis for the exchange of learning materials, which can hinder or even delay innovation and delivery of learning technology. Standards for platforms and authoring may provide a way to improve interoperability and cooperative development. Provides an XML-based approach…
Kubler, Cornelius C.
This article discusses principles involved in developing course materials for technology-mediated Chinese language learning, with examples from a new course designed to take into account the needs of distance and independent learners. Which learning environment is most efficient for a given learning activity needs to be carefully considered. It…
Fitzgerald, Gail E.; Koury, Kevin A.; Peng, Hsinyi
This paper is a report of user studies for developing learning strategy tool software for children. The prototype software demonstrated is designed for children with learning and behavioral disabilities. The tools consist of easy-to-use templates for creating organizational, memory, and learning approach guides for use in classrooms and at home.…
According to constructivist theory of learning, new knowledge is learned on the basis of what is already known by learners. Thus for an emerging and transformative technology such as Linked Data to be learned, the technology must be made relevant for learners and must be compatible with their skillset. Designing and developing Linked Data…
Fosstenløkken, Siw M.
Purpose: This paper aims to raise the question of how end-user product innovation is developed by exploring the underlying learning mechanisms that drive such idea realization in practice. A trialogical learning perspective from educational science is applied as an analytical approach to enlighten the black box of learning dynamics in user…
Wati, M.; Hartini, S.; Hikmah, N.; Mahtari, S.
This study focuses on developing physics learning media using 3D cartoon on the static fluid topic. The purpose of this study is to describe: (1) the validity of the learning media, (2) the practicality of the learning media, and (3) the effectiveness of the learning media. This study is a research and development using ADDIE model. The subject of the implementation of media used class XI Science of SMAN 1 Pulau Laut Timur. The data were obtained from the validation sheet of the learning media, questionnaire, and the test of learning outcomes. The results showed that: (1) the validity of the media category is valid, (2) the practicality of the media category is practice, and (3) the effectiveness of the media category is effective. It is concluded that the learning using 3D cartoon on the static fluid topic is eligible to use in learning.
Sobel, David M; Letourneau, Susan M
What do children know about learning? Children between 4 and 10 years of age were asked what they thought the word learning meant and then engaged in a structured interview about what kinds of things they learned and how they learned those things. Most of the 4- and 5-year-olds' responses to these questions indicated a lack of awareness about the nature of learning or how learning occurs. In contrast, the 8- to 10-year-olds showed a strong understanding of learning as a process and could often generate explicit metacognitive responses indicating that they understood under what circumstances learning would occur. The 6- and 7-year-olds were in a transitional stage between these two levels of understanding. We discuss the implications of this development with children's theory-of-mind development more generally. Copyright © 2015 Elsevier Inc. All rights reserved.
Chen, C P; Wan, J Z
A fast learning algorithm is proposed to find an optimal weights of the flat neural networks (especially, the functional-link network). Although the flat networks are used for nonlinear function approximation, they can be formulated as linear systems. Thus, the weights of the networks can be solved easily using a linear least-square method. This formulation makes it easier to update the weights instantly for both a new added pattern and a new added enhancement node. A dynamic stepwise updating algorithm is proposed to update the weights of the system on-the-fly. The model is tested on several time-series data including an infrared laser data set, a chaotic time-series, a monthly flour price data set, and a nonlinear system identification problem. The simulation results are compared to existing models in which more complex architectures and more costly training are needed. The results indicate that the proposed model is very attractive to real-time processes.
Fessia, Paolo; Rossi, Lucio
By mid August 2006, 1160 of the 1232 of LHC main dipoles have been delivered to CERN by the three suppliers in charge of the production. The training of the staff, mostly hired just for this manufacture, and the improvement of the procedures with the acquired experience, naturally decrease the time necessary for the assembly of a unit. The aim of this paper is to apply methodologies like the cost-based learning curves and the time-based learning curves to the LHC Main Dipole production comparing the estimated learning percentage to the ones experienced in other industries. This type of analysis, already presented on 500 units is here extended to more than 1000 completed units. The work also tries to identify which type of industry presents the learning percentages that are the most similar to our case and to investigate the impact of the production strategy on the process efficiency.
Tsai, Chia-Wen; Lee, Tsang-Hsiung; Shen, Pei-Di
Many private vocational schools in Taiwan have taken to enrolling students with lower levels of academic achievement. The authors re-designed a course and conducted a series of quasi-experiments to develop students' long-term computing skills, and examined the longitudinal effects of web-enabled, problem-based learning (PBL) and self-regulated…
Chambon, Stanislas; Galtier, Mathieu; Arnal, Pierrick; Wainrib, Gilles; Gramfort, Alexandre
Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30s of signal a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEG), electrooculograms (EOG), electrocardiograms (ECG) and electromyograms (EMG). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or...
Eagleton, Saramarie; Muller, Anton
In this report, a model was developed for whole brain learning based on Curry's onion model. Curry described the effect of personality traits as the inner layer of learning, information-processing styles as the middle layer of learning, and environmental and instructional preferences as the outer layer of learning. The model that was developed elaborates on these layers by relating the personality traits central to learning to the different quadrants of brain preference, as described by Neethling's brain profile, as the inner layer of the onion. This layer is encircled by the learning styles that describe different information-processing preferences for each brain quadrant. For the middle layer, the different stages of Kolb's learning cycle are classified into the four brain quadrants associated with the different brain processing strategies within the information processing circle. Each of the stages of Kolb's learning cycle is also associated with a specific cognitive learning strategy. These two inner circles are enclosed by the circle representing the role of the environment and instruction on learning. It relates environmental factors that affect learning and distinguishes between face-to-face and technology-assisted learning. This model informs on the design of instructional interventions for physiology to encourage whole brain learning.
Harel, Brian T.; Pietrzak, Robert H.; Snyder, Peter J.; Thomas, Elizabeth; Mayes, Linda C.; Maruff, Paul
Associate learning is fundamental to the acquisition of knowledge and plays a critical role in the everyday functioning of the developing child, though the developmental course is still unclear. This study investigated the development of visual associate learning in 125 school age children using the Continuous Paired Associate Learning task. As hypothesized, younger children made more errors than older children across all memory loads and evidenced decreased learning efficiency as memory load increased. Results suggest that age-related differences in performance largely reflect continued development of executive function in the context of relatively developed memory processes. PMID:25014755
This paper analyses open source software (OSS) development as an epistemic community where each individual project is perceived as a single epistemic community. OSS development is a learning process where the involved parties contribute to, and learn from the community. It is discovered that theory...... of epistemic communities does indeed contribute to the understanding of open source software development. But, the important learning process of open source software development is not readily explained. The paper then introduces situated learning and legitimate peripheral participation as theoretical...
Matheus, Christopher J; Kokar, Mieczyslaw M; Letkowski, Jerzy J; Call, Catherine; Baclawski, Kenneth; Hinman, Michael; Salerno, John; Boulware, Douglas
.... During the process of its development several lessons were learned about advantages and limitations of certain approaches, techniques and technologies as they are applied to situation awareness...
Brian T Harel
Full Text Available Associate learning is fundamental to the acquisition of knowledge and plays a critical role in the everyday functioning of the developing child, though the developmental course is still unclear. This study investigated the development of visual associate learning in 125 school age children using the Continuous Paired Associate Learning task. As hypothesized, younger children made more errors than older children across all memory loads and evidenced decreased learning efficiency as memory load increased. Results suggest that age-related differences in performance largely reflect continued development of executive function in the context of relatively developed memory processes.
This guide to good practices provides information and guidance on the types of, and the development of learning objectives in performance-based training system at reactor and nonreactor nuclear facilities. Contractors are encouraged to consider this guidance as a reference when developing new learning objectives or refining existing ones. Training managers, designers, developers, and instructors are the intended audiences.
In this article, I am concerned with three key issues of teacher professional development--teacher learning, motivation, and transfer of learning. Each issue has received minimal attention in teacher professional development literature. The three issues are discussed, and a model of an integrative professional development approach is outlined,…
Hilliard, Ann Toler
Blended learning is a combination of online and face-to-face activities for classroom instruction or other training modalities to help develop new knowledge and skills that can be transferred to the workplace environment. The use of blended learning is expanding globally (Vaughn, 2007). Blended learning is evident in professional development…
Digital learning is becoming a prevalent everyday human behavior. Effective digital learning services are integral for educational innovation and constitute competitive advantages for education businesses. Quality management in e-learning research and development is thus of utmost importance and needs both strong conceptual and empirical…
New product development and commercialization are essential to entrepreneurial growth and international competitiveness. Excellence in this area is strongly supported by individual and organizational learning efforts. By analyzing how Japanese car manufacturer Toyota organizes learning, this paper evaluates the potential of action learning to…
Hutter, R. I. (Vana); Oldenhof-Veldman, Tanja; Pijpers, J. R. (Rob); Oudejans, Raôul R.D.
To enhance the training of sport psychology consultants, it is important to know which learning experiences are useful for which components of professional development. We interviewed 15 novice consultants on their learning experiences related to 13 different topics. Traditional learning experiences
Marin, Catalina; Hargis, Jace; Cavanaugh, Cathy
In order to maximize college English language students' learning, product development, 21st Century skills and engagement with real world meaningful challenges, a course was designed to integrate Challenge Based Learning (CBL) and iPad mobile learning technology. This article describes the course design, which was grounded in design thinking, and…
Our societies have come to be known as knowledge societies in which lifelong learning is becoming increasingly important. In this context, competences have become a much discussed topic. Many documents were published by international organisations (UNESCO, World Bank, European Commission) which enumerated 21st century key competences. The field of…
Duus, Henrik Johannsen
The e-learning area is characterized by a magnitude of different products, systems and approaches. The variations can also be observed in differences in the views and notions of e-learning among business people, researchers and journalists. This article attempts to disentangle the area by using...... economic and sociological theories, the theories of marketing management and strategy as well as practical experience gained by the author while working with leading edge suppliers of e-learning. On this basis, a distinction between knowledge creation e-learning and knowledge transfer e-learning....... The selection of which paradigm to use in the development of an e-learning strategy may prove crucial for success. Implications for the development of an e-learning strategy in businesses and learning institutions are outlined....
Full Text Available Training teachers to assess important components of self-regulated learning such as learning strategies is an important, yet somewhat neglected, aspect of the integration of self-regulated learning at school. Learning journals can be used to assess learning strategies in line with cyclical process models of self-regulated learning, allowing for rich formative feedback. Against this background, we developed a computer-based learning environment (CBLE that trains teachers to assess learning strategies with learning journals. The contents of the CBLE and its instructional design were derived from theory. The CBLE was further shaped by research in a design-based manner. Finally, in two evaluation studies, student teachers (N1=44; N2=89 worked with the CBLE. We analyzed satisfaction, interest, usability, and assessment skills. Additionally, in evaluation study 2, effects of an experimental variation on motivation and assessment skills were tested. We found high satisfaction, interest, and good usability, as well as satisfying assessment skills, after working with the CBLE. Results show that teachers can be trained to assess learning strategies in learning journals. The developed CBLE offers new perspectives on how to support teachers in fostering learning strategies as central component of effective self-regulated learning at school.
Full Text Available Health is vital to every human being. To further improve its already respectable medical technology, the medical community is transitioning towards a proactive approach which anticipates and mitigates risks before getting ill. This approach requires measuring the physiological signals of human and analyzes these data at regular intervals. In this paper, we present a novel approach to apply deep learning in physiological signals analysis that allows doctor to identify latent risks. However, extracting high level information from physiological time-series data is a hard problem faced by the machine learning communities. Therefore, in this approach, we apply model based on convolutional neural network that can automatically learn features from raw physiological signals in an unsupervised manner and then based on the learned features use multivariate Gauss distribution anomaly detection method to detect anomaly data. Our experiment is shown to have a significant performance in physiological signals anomaly detection. So it is a promising tool for doctor to identify early signs of illness even if the criteria are unknown a priori.
Pomares, Héctor; Valenzuela, Olga
This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of comput...
The aim of this article is to illustrate how students, through collaborative small-group problem solving, appropriate the concept of geometric series. Student appropriation of cultural tools is dependent on five sociocultural aspects: involvement in joint activity, shared focus of attention, shared meanings for utterances, transforming actions and…
Vogt, Elaine E., Ed.
This volume is the sixteenth in a series of 29 coordinated MINNEMAST units in mathematics and science for kindergarten and the primary grades. Intended for use by second-grade teachers, this unit guide provides a summary and overview of the unit, a list of materials needed, and descriptions of five groups of lessons. The purposes and procedures…
Anne Karin Larsen
Full Text Available This article describes the process of, and considerations taken when Virtual Learning Materials were developed for an international study in Comparative Social Work arranged by the VIRCLASS project. The steps taken and the elements included in the Virtual Book – A Guide to Social Work in Europe are presented in details to inform others who are planning to make virtual learning materials. Students from 11 countries in Europe participated, and their reception of this material and learning outcomes from using it are analysed and presented. Furthermore; the article discuss how the learning material contributes to students’ learning, how a common understanding of practice enhances knowledge-building and in what way audio-visual learning material can contribute to good learning in e-learning courses. The results are discussed in relation to theories about composite texts and community of inquiry, and outlines some challenges for e-teachers’ competences.
Nakazawa, Tsuyoshi; Mita, Sumiyoshi; Matsubara, Masaaki; Takashima, Takeo; Tanaka, Koichi; Izawa, Satoru; Kawamura, Takashi
We developed two e-learning materials for Manufacturing Practice safety education: movie learning materials and hazard-detection learning materials. Using these video and sound media, students can learn how to operate machines safely with movie learning materials, which raise the effectiveness of preparation and review for manufacturing practice. Using these materials, students can realize safety operation well. Students can apply knowledge learned in lectures to the detection of hazards and use study methods for hazard detection during machine operation using the hazard-detection learning materials. Particularly, the hazard-detection learning materials raise students‧ safety consciousness and increase students‧ comprehension of knowledge from lectures and comprehension of operations during Manufacturing Practice.
Thorne, E. Ann; Wright, Gill
Purpose: The notion of effective strategic alliances provides the basis on which this paper proposes a framework to manage the application and outcomes of management learning. The management of key partner collaboration emerges in this paper as a major success factor in determining effective management learning. A proactive structured approach to…
Owen, Julie E
Leadership education is undergoing a transformation where powerful pedagogies and emerging knowledge about the scholarship of teaching and learning supplant long held and often-outmoded practices of leadership education. This transformation requires new commitments to evidence-based practice, critical consciousness, and more complex understanding of the levers of leadership learning. © 2015 Wiley Periodicals, Inc., A Wiley Company.
Mathiasen, John Bang
. To identify the characteristics enabling or constraining the learning process, both chapters focus on the composition of the STP and the transformation process. First, the composition of the interorganisational, cross-functional and daily working STPs is analysed. Applied constitutive means and the role......This thesis examines learning within a PD working practice when creating a Wind Turbine Control (WTC) in collaboration with a customer. The focus of the research is on the learning that takes place when engineers conduct a PD activity, frequently referred to as workplace learning. The research......, the logic applied throughout the thesis is abduction. The abductive logic paves the way for studying how learning occurs in consequence of the engineers’ doings when conducting a PD activity within a PD working practice. As this logic rejects any kind of dualism, the engineers’ doings are neither...
As our understanding of practice development becomes more sophisticated, we enhance our understanding of how the facilitation of learning in and from practice, can be more effectively achieved. This paper outlines an approach for enabling and maximizing learning within practice development known as 'Active Learning'. It considers how, given establishing a learning culture is a prerequisite for the sustainability of PD within organisations, practice developers can do more to maximize learning for practitioners and other stakeholders. Active Learning requires that more attention be given by organisations committed to PD, at a corporate and strategic level for how learning strategies are developed in the workplace. Specifically, a move away from a heavy reliance on training may be required. Practice development facilitators also need to review: how they organise and offer learning, so that learning strategies are consistent with the vision, aims and processes of PD; have skills in the planning, delivery and evaluation of learning as part of their role and influence others who provide more traditional methods of training and education.
Warnock, James N.; Mohammadi-Aragh, M. Jean
Problem-based learning (PBL) is a pedagogy that has attracted attention for many biomedical engineering curricula. The aim of the current study was to address the research question, 'Does PBL enable students to develop desirable professional engineering skills?' The desirable skills identified were communication, teamwork, problem solving and self-directed learning. Forty-seven students enrolled in a biomedical materials course participated in the case study. Students worked in teams to complete a series of problems throughout the semester. The results showed that students made significant improvements in their problem-solving skills, written communication and self-directed learning. Students also demonstrated an ability to work in teams and communicate orally. In conclusion, this case study provides empirical evidence of the efficacy of PBL on student learning. We discuss findings from our study and provide observations of student performance and perceptions that could be useful for faculty and researchers interested in PBL for biomedical engineering education.
Godsk, Mikkel; Bjælde, Ole Eggers; Caspersen, Michael E.
This poster presents the impact of two learning design initiatives at Faculty of Science and Technology, Aarhus University: the professional development module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model for enhancing and transformi...... modules. Both DiLD and the STREAM model have proven to be effective for encouraging educators across all career steps to embrace the potential of educational technology in science higher education and for improving teaching and learning.......This poster presents the impact of two learning design initiatives at Faculty of Science and Technology, Aarhus University: the professional development module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model for enhancing and transforming...
This document examines the current state of workplace learning within the context of the changing workplace of the late 20th century. The document begins with an overview of the evolution of employer-dominated training from Taylorism to the rise of human resource development during the late 1970s and 1980s. The development of the concepts of…
Kozono, Kazutake; Teramoto, Akemi; Akiyama, Hidenori
The contents creation in e-Learning system becomes an important problem. The contents of e-Learning should include figure and voice media for a high-level educational effect. However, the use of figure and voice complicates the operation of authoring software considerably. A new authoring software, which can build e-Learning contents efficiently, has been developed to solve this problem. This paper reports development results of the authoring software.
Marianne Amir Azer; Ahmed Mostafa El-Sherbini
Education is an important component of any nation’s development process. Society has been credited with creating technology, but technology is simultaneously creating society. One of the key benefits of such technology creation includes learning and curriculum development, which is otherwise referred to as e-leaning, and more appropriately referred to as global e-learning. Global e-learning raises some implications, which include communication, culture, and technology, that must be addressed ...
The recent development of a market economy in higher education has resulted in the need to tailor the product to the customers, namely students, employers and commissioning bodies. Distance learning is an opportunity for nurse educators and institutions to address marketing initiatives and develop a learning environment in order to enhance continuing professional development. It provides options for lifelong learning for healthcare professionals--including those working in community settings--that is effective and cost efficient. Development of continuing professional development programmes can contribute to widening the participation of community practitioners in lifelong learning, practice and role development. This paper considers the opportunities that web-based and online education programmes can provide community practitioners to promote professional skills while maintaining a work-life balance, and the role of the lecturer in successfully supporting professionals on web-based learning programmes.
Braid, Bernice, Ed.; Long, Ada, Ed.
The decade since publication of "Place as Text: Approaches to Active Learning" has seen an explosion of interest and productivity in the field of experiential education. This monograph presents a story of an experiment and a blueprint of sorts for anyone interested in enriching an existing program or willing to experiment with pedagogy…
Wexler, Kenneth Norman
The purpose of the study reported here was to do an automata-theoretical and experimental investigation of the learning of the syntax and semantics of a second natural language. The main thrust of the work was to ask what kind of automaton a person can become. Various kinds of automata were considered, predictions were made from them, and these…
Suzuki, Keiko; Aoki, Naokazu; Kobayashi, Hiroyuki
A curriculum of an integrated learning using power of photography in the junior highschool was constructed, and was experimented in the class "Seminar for Photographic Expression" of the integrated learning at a junior high school. The center of the curriculum is viewing photographs and self-expression using photography. By comparing the results of questionnaires investigation between before and after the class it is suggested that the curriculum brings about increase in self-esteem, empathy, and motivation for learning. This educational effect is really to foster ability to live self-sufficient lives. On the basis of these results curriculums which can be conducted by anyone at every junior highschool were proposed.
Lau, K H Vincent; Farooque, Pue; Leydon, Gary; Schwartz, Michael L; Sadler, R Mark; Moeller, Jeremy J
The video-based lecture (VBL), an important component of the flipped classroom (FC) and massive open online course (MOOC) approaches to medical education, has primarily been evaluated through direct learner feedback. Evaluation may be enhanced through learner analytics (LA) - analysis of quantitative audience usage data generated by video-sharing platforms. We applied LA to an experimental series of ten VBLs on electroencephalography (EEG) interpretation, uploaded to YouTube in the model of a publicly accessible MOOC. Trends in view count; total percentage of video viewed and audience retention (AR) (percentage of viewers watching at a time point compared to the initial total) were examined. The pattern of average AR decline was characterized using regression analysis, revealing a uniform linear decline in viewership for each video, with no evidence of an optimal VBL length. Segments with transient increases in AR corresponded to those focused on core concepts, indicative of content requiring more detailed evaluation. We propose a model for applying LA at four levels: global, series, video, and feedback. LA may be a useful tool in evaluating a VBL series. Our proposed model combines analytics data and learner self-report for comprehensive evaluation.
The article presents a retrospective analysis of adult learning development in Poland in the 20th century. Based on the study and analysis of historical and pedagogical literature, normative documents of the official bodies of Polish government, the periodical press of the 20th century, several stages of adult learning development, in the…
Deperlioglu, Omer; Sarpkaya, Yilmaz; Ergun, Ertugrul
In today's world, Web-Based Distance Education Systems have a great importance. Web-based Distance Education Systems are usually known as Learning Management Systems (LMS). In this article, a database design, which was developed to create an educational institution as a Learning Management System, is described. In this sense, developed Learning…
Elias, Maurice J.; Moceri, Dominic C.
Developments in American policy, research and professional development to promote social and emotional learning in schools have drawn on work carried out by the Collaborative for Academic, Social, and Emotional Learning (CASEL), encouraged by the popular and political catalyst of Daniel Goleman's work on emotional intelligence. Based on CASEL's…
Kidwell, Linda A.; Fisher, Dann G.; Braun, Robert L.; Swanson, Diane L.
The purpose of our article is to offer a set of core knowledge learning objectives for accounting ethics education. Using Bloom's taxonomy of educational objectives, we develop learning objectives in six content areas: codes of ethical conduct, corporate governance, the accounting profession, moral development, classical ethics theories, and…
Doolittle, Gini; Sudeck, Maria; Rattigan, Peter
If professional learning communities offer opportunities for improving the teaching and learning process, then developing strong professional development school (PDS) partnerships establish an appropriate framework for that purpose. PDS partnerships, however, can be less than effective without proper planning and discussion about the aims of those…
Gilbert, Matthew A
If you are an educator creating a course for edX or a corporate trainer using Open edX for large-scale learning and development initiatives, then edX E-Learning Course Development is the ideal book for you.
Murphy, Robert F.
Due to the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug development. In particular, machine-vision methods to extract detailed information from imaging assays and active-learning methods to guide experimentation will be required to overcome the dimensionality problem in drug development. PMID:21587249
This guide to good practices provides information and guidance on the types of and development of learning objectives in a systematic approach to training program. This document can serve as a reference during the development of new learning objectives or refinement of existing ones.
Dike, Victor E.
Debates on the effect of poverty on brain development in children and its implications for learning have been raging for decades. Research suggests that poverty affects brain development in children and that the implications for learning are more compelling today given the attention the issue has attracted. For instance, studies in the fields of…
Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of…
Full Text Available Adolescence is a period of life characterised by changes in learning and decision-making. Learning and decision-making do not rely on a unitary system, but instead require the coordination of different cognitive processes that can be mathematically formalised as dissociable computational modules. Here, we aimed to trace the developmental time-course of the computational modules responsible for learning from reward or punishment, and learning from counterfactual feedback. Adolescents and adults carried out a novel reinforcement learning paradigm in which participants learned the association between cues and probabilistic outcomes, where the outcomes differed in valence (reward versus punishment and feedback was either partial or complete (either the outcome of the chosen option only, or the outcomes of both the chosen and unchosen option, were displayed. Computational strategies changed during development: whereas adolescents' behaviour was better explained by a basic reinforcement learning algorithm, adults' behaviour integrated increasingly complex computational features, namely a counterfactual learning module (enabling enhanced performance in the presence of complete feedback and a value contextualisation module (enabling symmetrical reward and punishment learning. Unlike adults, adolescent performance did not benefit from counterfactual (complete feedback. In addition, while adults learned symmetrically from both reward and punishment, adolescents learned from reward but were less likely to learn from punishment. This tendency to rely on rewards and not to consider alternative consequences of actions might contribute to our understanding of decision-making in adolescence.
Ashmore, M. Catherine; Pritz, Sandra G.
This unit on determining one's potential as an entrepreneur, the second in a series of 18 modules, is on the second level of the revised PACE (Program for Acquiring Competence in Entrepreneurship) comprehensive curriculum. Geared to advanced secondary and beginning postsecondary or adult students, the modules provide an opportunity to learn about…
Ashmore, M. Catherine; Pritz, Sandra G.
This unit on planning marketing strategy for a small business, the sixth in a series of 18 modules, is on the second level of the revised PACE (Program for Acquiring Competence in Entrepreneurship) comprehensive curriculum. Geared to advanced secondary and beginning postsecondary or adult students, the modules provide an opportunity to learn about…
Lufri, L.; Fitri, R.; Yogica, R.
The purpose of this study is to produce a learning model based on problem solving and meaningful learning standards by expert assessment or validation for the course of Animal Development. This research is a development research that produce the product in the form of learning model, which consist of sub product, namely: the syntax of learning model and student worksheets. All of these products are standardized through expert validation. The research data is the level of validity of all sub products obtained using questionnaire, filled by validators from various field of expertise (field of study, learning strategy, Bahasa). Data were analysed using descriptive statistics. The result of the research shows that the problem solving and meaningful learning model has been produced. Sub products declared appropriate by expert include the syntax of learning model and student worksheet.
Lhermitte, S.; Tips, M.; Verbesselt, J.; Jonckheere, I.; Van Aardt, J.; Coppin, Pol
Large-scale wild fires have direct impacts on natural ecosystems and play a major role in the vegetation ecology and carbon budget. Accurate methods for describing post-fire development of vegetation are therefore essential for the understanding and monitoring of terrestrial ecosystems. Time series analysis of satellite imagery offers the potential to quantify these parameters with spatial and temporal accuracy. Current research focuses on the potential of time series analysis of SPOT Vegetation S10 data (1999-2001) to quantify the vegetation recovery of large-scale burns detected in the framework of GBA2000. The objective of this study was to provide quantitative estimates of the spatio-temporal variation of vegetation recovery based on remote sensing indicators. Southern Africa was used as a pilot study area, given the availability of ground and satellite data. An automated technique was developed to extract consistent indicators of vegetation recovery from the SPOT-VGT time series. Reference areas were used to quantify the vegetation regrowth by means of Regeneration Indices (RI). Two kinds of recovery indicators (time and value- based) were tested for RI's of NDVI, SR, SAVI, NDWI, and pure band information. The effects of vegetation structure and temporal fire regime features on the recovery indicators were subsequently analyzed. Statistical analyses were conducted to assess whether the recovery indicators were different for different vegetation types and dependent on timing of the burning season. Results highlighted the importance of appropriate reference areas and the importance of correct normalization of the SPOT-VGT data.
This book, based on the work of a teacher and community development expert with many years of teaching adult education in numerous developing countries all over the world, provides a process for teaching and learning with adults. The book is illustrated with stories from the author's experience and examples that show how to begin, set up, carry…
On the general direction of the economic system, China is in a crucial period of the establishment of the modern enterprise system and reform of the macroeconomic system, and a lot of high-quality business administration talents are required to make China’s economy be stably developed. This paper carries out time series analysis of the development situation of China’s business administration major: on the whole, the society currently presents an upward trend on the demand for the business adm...
Potter, Tracey C S; Bryce, Nessa V; Hartley, Catherine A
Reinforcement learning theory distinguishes "model-free" learning, which fosters reflexive repetition of previously rewarded actions, from "model-based" learning, which recruits a mental model of the environment to flexibly select goal-directed actions. Whereas model-free learning is evident across development, recruitment of model-based learning appears to increase with age. However, the cognitive processes underlying the development of model-based learning remain poorly characterized. Here, we examined whether age-related differences in cognitive processes underlying the construction and flexible recruitment of mental models predict developmental increases in model-based choice. In a cohort of participants aged 9-25, we examined whether the abilities to infer sequential regularities in the environment ("statistical learning"), maintain information in an active state ("working memory") and integrate distant concepts to solve problems ("fluid reasoning") predicted age-related improvements in model-based choice. We found that age-related improvements in statistical learning performance did not mediate the relationship between age and model-based choice. Ceiling performance on our working memory assay prevented examination of its contribution to model-based learning. However, age-related improvements in fluid reasoning statistically mediated the developmental increase in the recruitment of a model-based strategy. These findings suggest that gradual development of fluid reasoning may be a critical component process underlying the emergence of model-based learning. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
Madsen, Erik Skov; Riis, Jens Ove; Wæhrens, Brian Vejrum
This paper unfolds the concept of a learning arena as a means of building robust and effec-tive global operations networks through a focus on organizational didactics and situated learning. The paper builds on six case studies in three MNEs which have come far in establishing capabilities...... for the transfer of operations activities. However, they have tended to take a piecemeal and substance-based approach in relation to learning. A new model shows the contours of a learning arena, and case studies illustrate how different learning arenas may be used for supporting knowledge development....
Sloutsky, Vladimir M; Yim, Hyungwook; Yao, Xin; Dennis, Simon
Word learning is a notoriously difficult induction problem because meaning is underdetermined by positive examples. How do children solve this problem? Some have argued that word learning is achieved by means of inference: young word learners rely on a number of assumptions that reduce the overall hypothesis space by favoring some meanings over others. However, these approaches have difficulty explaining how words are learned from conversations or text, without pointing or explicit instruction. In this research, we propose an associative mechanism that can account for such learning. In a series of experiments, 4-year-olds and adults were presented with sets of words that included a single nonsense word (e.g. dax). Some lists were taxonomic (i.,e., all items were members of a given category), some were associative (i.e., all items were associates of a given category, but not members), and some were mixed. Participants were asked to indicate whether the nonsense word was an animal or an artifact. Adults exhibited evidence of learning when lists consisted of either associatively or taxonomically related items. In contrast, children exhibited evidence of word learning only when lists consisted of associatively related items. These results present challenges to several extant models of word learning, and a new model based on the distinction between syntagmatic and paradigmatic associations is proposed. Copyright © 2017 Elsevier Inc. All rights reserved.
Petersen, Morten Rask; Dohn, Niels Bonderup
for learning (e.g. Krapp, 2002). Here we turn the interplay and see learning as a facilitator for interest development. This interplay was studied in upper secondary biology education. Student’s conducted an exercise on modelling natural selection with LEGO® bricks (Christensen-Dalsgaard & Kanneworf, 2009...... support our initial hypothesis that learning can be a facilitator for interest development. This is an argument for focusing more on didactical approaches and learning environments if the goal is to have interested students. As stated by Dewey: “If we can discover a child’s urgent needs and powers...
Lassesen, Berit; Rossen, Dorte Sidelmann; Stenalt, Maria Hvid
and explore how the use of blended learning affects teachers’ approaches to teaching and students’ approaches to learning in higher education. So far, there has been relatively limited research on approaches to teaching in blended learning (González 2010; Lameras et al., 2012). In one study, Ellis et al....... In order to identify appropriate uses of blended learning in Higher Education and to enable the tailoring of teaching approaches to the different needs of an increasingly diverse student body, more knowledge is needed on how to integrate blended learning in educational settings and how best to address...... a new strategic focus on 'Educational IT’ with the purpose of strengthening teaching and learning through use of online interactions. Some of the major challenges in the development of this strategy include how to, identify rationales for using blended learning, stimulate pedagogical reflections...
We present a deep neural network for a model-free prediction of a chaotic dynamical system from noisy observations. The proposed deep learning model aims to predict the conditional probability distribution of a state variable. The Long Short-Term Memory network (LSTM) is employed to model the nonlinear dynamics and a softmax layer is used to approximate a probability distribution. The LSTM model is trained by minimizing a regularized cross-entropy function. The LSTM model is validated against...
Li, Sissi L.
At the university level, introductory science courses usually have high student to teacher ratios which increases the challenge to meaningfully connect with students. Various curricula have been developed in physics education to actively engage students in learning through social interactions with peers and instructors in class. This learning environment demands not only conceptual understanding but also learning to be a scientist. However, the success of student learning is typically measured in test performance and course grades while assessment of student development as science learners is largely ignored. This dissertation addresses this issue with the development of an instrument towards a measure of physics learning identity (PLI) which is used to guide and complement case studies through student interviews and in class observations. Using the conceptual framework based on Etienne Wenger's communities of practice (1998), I examine the relationship between science learning and learning identity from a situated perspective in the context of a large enrollment science class as a community of practice. This conceptual framework emphasizes the central role of identity in the practices negotiated in the classroom community and in the way students figure out their trajectory as members. Using this framework, I seek to understand how the changes in student learning identity are supported by active engagement based instruction. In turn, this understanding can better facilitate the building of a productive learning community and provide a measure for achievement of the curricular learning goals in active engagement strategies. Based on the conceptual framework, I developed and validated an instrument for measuring physics learning identity in terms of student learning preferences, self-efficacy for learning physics, and self-image as a physics learner. The instrument was pilot tested with a population of Oregon State University students taking calculus based
Fitzpatrick, Eileen; Dennison, Barbara A; Welge, Sara Bonam; Hisgen, Stephanie; Boyce, Patricia Simino; Waniewski, Patricia A
Exclusive breastfeeding is a public health priority. A strong body of evidence links maternity care practices, based on the Ten Steps to Successful Breastfeeding, to increased breastfeeding initiation, duration and exclusivity. Despite having written breastfeeding policies, New York (NY) hospitals vary widely in reported maternity care practices and in prevalence rates of breastfeeding, especially exclusive breastfeeding, during the birth hospitalization. To improve hospital maternity care practices, breastfeeding support, and the percentage of infants exclusively breastfeeding, the NY State Department of Health developed the Breastfeeding Quality Improvement in Hospitals (BQIH) Learning Collaborative. The BQIH Learning Collaborative was the first to use the Institute for Health Care Improvement's Breakthrough Series methodology to specifically focus on increasing hospital breastfeeding support. The evidence-based maternity care practices from the Ten Steps to Successful Breastfeeding provided the basis for the Change Package and Data Measurement Plan. The present article describes the development of the BQIH Learning Collaborative. The engagement of breastfeeding experts, partners, and stakeholders in refining the Learning Collaborative design and content, in defining the strategies and interventions (Change Package) that drive hospital systems change, and in developing the Data Measurement Plan to assess progress in meeting the Learning Collaborative goals and hospital aims is illustrated. The BQIH Learning Collaborative is a model program that was implemented in a group of NY hospitals with plans to spread to additional hospitals in NY and across the country.
Van der Sluis, Lidewey E. C.; Poell, Rob E.
Survey responses were received in 1998 (n=63) and 1999 (n=98) from master's of business administration graduates. Hierarchical regression and difference of means tests found that career development depended on learning opportunities at work and on individual learning behavior. Behavior was more predictive of objective career development measures,…
Halim, Noor Dayana Abd; Han, Ong Boon; Abdullah, Zaleha; Yusup, Junaidah
Learning software is a teaching aid which is often used in schools to increase students' motivation, attract students' attention and also improve the quality of teaching and learning process. However, the development of learning software should be followed the phases in Instructional Design (ID) Model, therefore the process can be carried out systematic and orderly. Thus, this concept paper describes the application of ADDIE model in the development of mathematics learning courseware for learning Line and Angle named CBL-Math. ADDIE model consists of five consecutive phases which are Analysis, Design, Development, Implementation and Evaluation. Each phase must be properly planned in order to achieve the objectives stated. Other than to describe the processes occurring in each phase, this paper also demonstrating how cognitive theory of multimedia learning principles are integrated in the developed courseware. The principles that applied in the courseware reduce the students' cognitive load while learning the topic of line and angle. With well prepared development process and the integration of appropriate principles, it is expected that the developed software can help students learn effectively and also increase students' achievement in the topic of Line and Angle.
Mala-Maung; Abdullah, Azman; Abas, Zoraini W
This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.
Goodyear, Victoria A
It has been argued, extensively and internationally, that sustained school-based continuous professional development (CPD) has the potential to overcome some of the shortcomings of traditional one-off CPD programs. Yet, the evidence base on more effective or less effective forms of CPD is contradictory. The mechanisms by which sustained support should be offered are unclear, and the impacts on teachers' and students' learning are complex and difficult to track. The purpose of this study was to examine the impact of a sustained school-based, tailored, and supported CPD program on teachers' practices and students' learning. Data are reported from 6 case studies of individual teachers engaged in a yearlong CPD program focused on cooperative learning. The CPD program involved participatory action research and frequent interaction/support from a boundary spanner (researcher/facilitator). Data were gathered from 29 video-recorded lessons, 108 interviews, and 35 field journal entries. (a) Individualized (external) support, (b) departmental (internal) support, and (c) sustained support impacted teachers' practices of cooperative learning. The teachers adapted their practices of cooperative learning in response to their students' learning needs. Teachers began to develop a level of pedagogical fluency, and in doing so, teachers advanced students' learning. Because this study demonstrates impact, it contributes to international literature on effective CPD. The key contribution is the detailed evidence about how and why CPD supported 6 individual teachers to learn-differently-and the complexity of the learning support required to engage in ongoing curriculum development to positively impact student learning.
While the validity of categories like 'First' and 'Third' World or 'North' and 'South' has been increasingly questioned, there have been few attempts to consider how learning between North and South might be conceived. Drawing on a range of perspectives from development and postcolonial scholarship, this paper argues for the creative possibility of learning between different contexts. This involves a conceptualisation of learning that is at once ethical and indirect: ethical because it transc...
Razvan Virgil Bogdan
Full Text Available In the rapid developing market of automotive industry, cutting-edge technologies are being introduced. One such example is the AUTOSAR standard. Companies are investing a large amount of finances for the training of their employees into the intricacies of such technologies. In order to face such an increase of the training costs, automotive corporation have started lately switching their approach to e-Learning systems. This paper presents an e-Learning approach developed in the automotive industry in order to address the demands of teaching AUTOSAR standard. The developed e-Learning project is called Academy. In order to develop the e-Learning solution we focused on the Software Development part of automotive industry. Therefore we had to gather the ideas from different trainers, come with a common approach and use specific techniques so that the trainee should get a real feeling of the material. It is presented the design, implementation and evaluation of this e-Learning solution, but more than that faced issues and learned lessons. Developing this solution has offered different insights into how to approach such a task which are useful for the further expansion of the project, but also for future researchers who might encounter such a challenge of developing e-Learning solutions for the automotive industry. These are all grouped in a set of guidelines related to following a model of implementation, getting track of participants, user interaction with the AUTOSAR standard, test and production development and so on.
Full Text Available This paper investigates the relationship between logistics and economic development in Indonesia using time series data on traffic volume and economic growth for the period from 1988 to 2010. Literature reviews were conducted to find the most applicable econometric model. The data of cargo volume that travels through sea, air and rail is used as the logistics index, while GDP is used for the economic index. The time series data was tested using stationarity and co-integration tests. Granger causality tests were employed, and then a proposed logistic model is presented. This study showed that logistics plays an important role in supporting and sustaining economic growth, in a form where the economic growth is the significant demand-pull effect towards logistics. Although the model is developed in the context of Indonesia, the overall statistical analysis can be generalized to other developing economies. Based on the model, this paper presented the importance of sustaining economic development with regards continuously improving the logistics infrastructure.
Wu Yican; Huang Qunying; Zhu Zhiqiang; Gao Sheng; Song Yong; Li Chunjing; Peng Lei; Liu Shaojun; Wu qingsheng; Liu Songlin; Chen Hongli; Bai Yunqing; Jin Ming; Lv Ruojun; Wang Weihua; Guo Zhihui; Chen Yaping; Ling Xinzhen; Zhang Maolian; Wang Yongliang; Wu Zhaoyang; Wang Hongyan
Liquid LiPb (lithium-lead) experimental loops are the important platforms to investigate the key technologies of liquid LiPb breeder blankets for fusion reactors. Based on the development strategy for liquid LiPb breeder blankets, the technologies development of liquid LiPb experimental loops have been explored by the FDS Team for years, and a series of LiPb experimental loops named DRAGON have been designed and developed, which have independence intellectual property and multi-functional parameters. In this paper, the development route suggestion of Chinese LiPb experimental loops was elaborated, and some information for the senes experimental loops were introduced, such as the design principles, structural features, functions and related experimental researches, etc. (authors)
Chambon, Stanislas; Galtier, Mathieu N; Arnal, Pierrick J; Wainrib, Gilles; Gramfort, Alexandre
Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of the signal of a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEGs), electrooculograms (EOGs), electrocardiograms, and electromyograms (EMGs). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or extracting handcrafted features, that exploits all multivariate and multimodal polysomnography (PSG) signals (EEG, EMG, and EOG), and that can exploit the temporal context of each 30-s window of data. For each modality, the first layer learns linear spatial filters that exploit the array of sensors to increase the signal-to-noise ratio, and the last layer feeds the learnt representation to a softmax classifier. Our model is compared to alternative automatic approaches based on convolutional networks or decisions trees. Results obtained on 61 publicly available PSG records with up to 20 EEG channels demonstrate that our network architecture yields the state-of-the-art performance. Our study reveals a number of insights on the spatiotemporal distribution of the signal of interest: a good tradeoff for optimal classification performance measured with balanced accuracy is to use 6 EEG with 2 EOG (left and right) and 3 EMG chin channels. Also exploiting 1 min of data before and after each data segment offers the strongest improvement when a limited number of channels are available. As sleep experts, our system exploits the multivariate and multimodal nature of PSG signals in order to deliver the state-of-the-art classification performance with a small computational cost.
Hall, Tracey E., Ed.; Meyer, Anne, Ed.; Rose, David H., Ed.
Clearly written and well organized, this book shows how to apply the principles of universal design for learning (UDL) across all subject areas and grade levels. The editors and contributors describe practical ways to develop classroom goals, assessments, materials, and methods that use UDL to meet the needs of all learners. Specific teaching…
Labranche, Leah; Johnson, Marjorie; Palma, David; D'Souza, Leah; Jaswal, Jasbir
Radiation oncologists require an in-depth understanding of anatomical relationships for modern clinical practice, although most do not receive formal anatomy training during residency. To fulfill the need for instruction in relevant anatomy, a series of four multidisciplinary, interactive learning modules were developed for a cohort of radiation…
Handayani, A. D.; Herman, T.; Fatimah, S.; Setyowidodo, I.; Katminingsih, Y.
Inquiry based learning is learning that based on understanding constructivist mathematics learning. Learning based on constructivism is the Student centered learning. In constructivism, students are trained and guided to be able to construct their own knowledge on the basis of the initial knowledge that they have before. This paper explained that inquiry based learning can be used to developing student’s Mathematical habits of mind. There are sixteen criteria Mathematical Habits of mind, among which are diligent, able to manage time well, have metacognition ability, meticulous, etc. This research method is qualitative descriptive. The result of this research is that the instruments that have been developed to measure mathematical habits of mind are validated by the expert. The conclusion is the instrument of mathematical habits of mind are valid and it can be used to measure student’s mathematical habits of mind.
Thomas, Susan B., Comp.
This bibliography is designed to be as comprehensive as possible on the effects of nutrition on learning. While a few of the citations are relatively old, they represent the beginning of research interest in the area. Most of the citations are from the late 1960's or early 1970's. Much of the research in the area uses animals as subjects, rather…
Contribution to Prolearn Summerschool, 7-6-2006; Bled; Slovenia. Slides of the lecture and the 'user questions' we produced in the workshop. The task in the workshop was to identify learning questions that a user could have for the TENCompetence system. These questions should be a) hard to answer
The scholarship of teaching at Laurea University of Applied Sciences is undergoing a great change. The purpose of this article is to reflect the SWOT-analysis produced by 13 teachers at the end of the 2-year PD programme for Transformative Teaching concerning the implementation of the new pedagogical model of Laurea called Learning by Developing…
Bargagliotti, Anna E.; Anderson, Celia Rousseau
As a result of the increased focus on data literacy and data science across the world, there has been a large demand for professional development in statistics. However, exactly how these professional development opportunities should be structured remains an open question. The purpose of this paper is to describe the first iteration of a design…
Richardson, John T. E.
This article concludes the special issue of "Studies in Educational Evaluation" concerned with "Evaluating learning pattern development in higher education" by discussing research issues that have emerged from the previous contributions. The article considers in turn: stability versus variability in learning patterns; old versus new analytic…
For most of the twentieth century, the goal in education was the generation and dissemination of information. With the rise of technology and unlimited access to information, it is the ability to apply knowledge and learn from experience that is the new priority for employee development. Action learning, with its emphasis on action and reflection,…
Shallcross, David C.
Concept maps are used to assess student and cohort learning of sustainable development. The concept maps of 732 first-year engineering students were individually analyzed to detect patterns of learning and areas that were not well understood. Students were given 20 minutes each to prepare a concept map of at least 20 concepts using paper and pen.…
Interpersonal contact between the lecturers and students improves the development of critical thinking skills. The process is hampered by the geographical distance between the lecturers and the students in the case of distance education and learning. In many cases distance learning is, however, the only option.
Shah, Mamta; Foster, Aroutis
Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…
A growing interest in the Scholarship of Teaching and Learning (SoTL) in higher education requires the seeking of opportunities for its development within and across disciplines and institutions. However, rewards for individual competitiveness in research publications, including the Scholarship of Teaching and Learning ...
Traditional engineering courses at tertiary level have been traditionally theory-based, supported by laboratory work, but there is now a world-wide trend towards project-based learning. In product development education, project-based learning is essential in order to integrate the disciplines of design, marketing and manufacturing towards the…
Robinson, Jenny Perlman; Winthrop, Rebecca
"Millions Learning: Scaling up Quality Education in Developing Countries" tells the story of where and how quality education has scaled in low- and middle-income countries. The story emerges from wide-ranging research on scaling and learning, including 14 in-depth case studies from around the globe. Ultimately, "Millions…
Lawton, Sally; Barnes, Richard
Comparison of distance learning that was developed with a business-planning approach (market research, cost-benefit analysis, feasibility study, strategic marketing) with one that did not use these techniques showed that business planning ensures that distance-learning courses are not viewed as a "cheap" option. The method identifies…
Nadelman, Cindi A.
Distance learning programs are being developed at many institutions of higher learning as a means of maintaining a competitive advantage. The problem is that college administrators have no reliable methods for predicting the likelihood of success or failure of these newly launched programs. There is a lack of information regarding attitudes and…
This action research study examined the development of a professional learning community (PLC) among 20 preservice secondary teachers as they met regularly during a semester-long, field-based education course to share artifacts of learning from their professional portfolios. The PLC model described by Hord and Tobia (2012) served as a framework…
Nordentoft, Helle Merete; Wistoft, Karen
Purpose: The purpose of this paper is to investigate the process and learning outcomes of peer collaboration in a Danish health developmental project in school health nursing. The paper explores how peer collaboration influences the school nurses' collaborative learning and competence development. Design/methodology/approach: The article is based…
Since online educational technology can support a ubiquitous language learning environment, there are many ways to develop English learners' autonomy through self-access learning. This study investigates whether English as a second language (ESL) learners can improve their oral proficiency through independent study by using online self-study…
Berrell, Mike; Gloet, Marianne; Wright, Phil
Malaysian and Australian managers enrolled in a training program exhibited differences attributed to national culture in their approaches to learning, influences on management behavior, and ways of knowing. National culture had greater influence on management development and organizational learning than did organizational or systems cultures.…
The following article examines the issues of open, distance and technology-based informal learning and non-formal education for individual and community development. It argues that these two modes of education, which are estimated to constitute 70-90% of lifelong learning, are insufficiently represented in the literature of open and distance…
A model derived from information processing theory is described, which helps to explain the complex verbal learning of students and suggests implications for lecturing techniques. Other factors affecting learning, which are not covered by the model, are discussed in relationship to it: student's intellectual development and effects of individual…
Hertzog, Nancy B.
This article explores the learning context for talent development in public schools. Total aspects of the environment from physical space, affective elements, and pedagogical approaches affect learning. How teachers believe and perceive their roles as teachers influence instructional design and decision making. In this article, the optimal…
Meaney, Wanda; Harris-Lorenze, Elayne
The Early Development Instrument (EDI) was designed by McMaster University to measure the outcomes of childrens early years as they influence their readiness to learn at school. The EDI was piloted in several Canadian cities in recent years through two national initiatives. Building on these initiatives, Alberta Learning piloted the EDI as a…
Ayyildiz, Yildizay; Tarhan, Leman
The purpose of this study was to develop a valid and reliable scale for assessing high school students' self-directed learning skills. Based on a literature review and data obtained from similar instruments, all skills related to self-directed learning were identified. Next, an item pool was prepared and administered to 255 students from various…
Full Text Available This study aimed to describe the achievement of teacher learning in cognitive, affective and psychomotor in conducting professional development. This study was categorized as a descriptive study. The respondents of this study were teachers and students in the Department of Electrical Engineering at a Vocational Secondary School in Bangka Belitung. Methods of data collection used questionnaires. The data were analyzed with descriptive analysis. The results of this study consisted of: (1 teachers’ opinion, most teachers had worked very well in learning of cognitive, affective, and psychomotor, (2 students’ opinion, several teachers had succeeded in cognitive learning, and managed very well on affective and psychomotor learning.
Kurt A. April; Katja M. J. Goebel; Eddie Blass; Jonathan Foster-Pedley
This paper explores the value that computer and video games bring to learning and leadership and explores how games work as learning environments and the impact they have on personal development. The study looks at decisiveness, decision-making ability and styles, and on how this leadership-related skill is learnt through different paradigms. The paper compares the learning from a lecture to the learning from a designed computer game, both of which have the same content through the use of a s...
Hope, Nicholas C.
Arguing that the benefits from borrowing abroad exceed the costs recently imposed on countries through debt-servicing difficulties, this paper defines debt as an engine of growth, forcing the borrower to produce goods efficiently, export them, and function competitively in the international market. Debt-servicing difficulties of developing nations…
Kim, Jung Hyun; Yang, Han Joon; Kim, Nak Sang
In order to analyze the degree of self-learning development ability after the clinical training curriculum, the results of 121 questionnaires were analyzed for 3rd and 4th grade students in radiology in the metropolitan area. The overall average of self-learning ability according to gender was 3.07±0.85, which was statistically significant according to gender. However, the results according to educational system showed that the overall average was 3.07±0.85, which was higher than the average level of self-learning development ability. There was no statistically significant difference according to educational system. The results of the self-learning development ability according to the motivation for selecting the department showed that the students who have chosen their department due to their higher employment rate after graduation had high self-development ability level(3.58±0.85) but the students who entered the school due to self-aptitude had relatively lower self-development ability level (2.30±0.40). The overall average of self-learning ability according to direction of career path was 3.08±0.76, which was over-average of self-learning development ability. Thus, there was statistically significant difference according to career path. It is necessary to improve the self-learning ability in clinical practice. In addition, the lack of statistical significance suggests problems and diversity
Kim, Jung Hyun; Yang, Han Joon [Dept. of International Radiological Science, Hallym University of Graduate Studies, Chuncheon (Korea, Republic of); Kim, Nak Sang [Dept. of Radiological Science, Songho College, Hoengseong (Korea, Republic of)
In order to analyze the degree of self-learning development ability after the clinical training curriculum, the results of 121 questionnaires were analyzed for 3rd and 4th grade students in radiology in the metropolitan area. The overall average of self-learning ability according to gender was 3.07±0.85, which was statistically significant according to gender. However, the results according to educational system showed that the overall average was 3.07±0.85, which was higher than the average level of self-learning development ability. There was no statistically significant difference according to educational system. The results of the self-learning development ability according to the motivation for selecting the department showed that the students who have chosen their department due to their higher employment rate after graduation had high self-development ability level(3.58±0.85) but the students who entered the school due to self-aptitude had relatively lower self-development ability level (2.30±0.40). The overall average of self-learning ability according to direction of career path was 3.08±0.76, which was over-average of self-learning development ability. Thus, there was statistically significant difference according to career path. It is necessary to improve the self-learning ability in clinical practice. In addition, the lack of statistical significance suggests problems and diversity.
Shionoya, Kiseko; Moriceau, Stephanie; Lunday, Lauren; Miner, Cathrine; Roth, Tania L; Sullivan, Regina M
Fetal and infant rats can learn to avoid odors paired with illness before development of brain areas supporting this learning in adults, suggesting an alternate learning circuit. Here we begin to document the transition from the infant to adult neural circuit underlying odor-malaise avoidance learning using LiCl (0.3 M; 1% of body weight, ip) and a 30-min peppermint-odor exposure. Conditioning groups included: Paired odor-LiCl, Paired odor-LiCl-Nursing, LiCl, and odor-saline. Results showed that Paired LiCl-odor conditioning induced a learned odor aversion in postnatal day (PN) 7, 12, and 23 pups. Odor-LiCl Paired Nursing induced a learned odor preference in PN7 and PN12 pups but blocked learning in PN23 pups. 14C 2-deoxyglucose (2-DG) autoradiography indicated enhanced olfactory bulb activity in PN7 and PN12 pups with odor preference and avoidance learning. The odor aversion in weanling aged (PN23) pups resulted in enhanced amygdala activity in Paired odor-LiCl pups, but not if they were nursing. Thus, the neural circuit supporting malaise-induced aversions changes over development, indicating that similar infant and adult-learned behaviors may have distinct neural circuits.
Kelley, Elizabeth Spencer
The purpose of this article is to present preliminary results related to the development of a new measure of explicit word learning. The measure incorporated elements of explicit vocabulary instruction and dynamic assessment and was designed to be sensitive to differences in word learning skill and to be feasible for use in clinical settings. The explicit word learning measure included brief teaching trials and repeated fine-grained measurement of semantic knowledge and production of 3 novel words (2 verbs and 1 adjective). Preschool children (N = 23) completed the measure of explicit word learning; standardized, norm-referenced measures of expressive and receptive vocabulary; and an incidental word learning task. The measure of explicit word learning provided meaningful information about word learning. Performance on the explicit measure was related to existing vocabulary knowledge and incidental word learning. Findings from this development study indicate that further examination of the measure of explicit word learning is warranted. The measure may have the potential to identify children who are poor word learners. https://doi.org/10.23641/asha.5170738.
Wang, Zhilong; Zhang, Min; Wang, Danshi; Song, Chuang; Liu, Min; Li, Jin; Lou, Liqi; Liu, Zhuo
In this paper, we propose a performance monitoring and failure prediction method in optical networks based on machine learning. The primary algorithms of this method are the support vector machine (SVM) and double exponential smoothing (DES). With a focus on risk-aware models in optical networks, the proposed protection plan primarily investigates how to predict the risk of an equipment failure. To the best of our knowledge, this important problem has not yet been fully considered. Experimental results showed that the average prediction accuracy of our method was 95% when predicting the optical equipment failure state. This finding means that our method can forecast an equipment failure risk with high accuracy. Therefore, our proposed DES-SVM method can effectively improve traditional risk-aware models to protect services from possible failures and enhance the optical network stability.
Full Text Available Extensive research demonstrated that firms may pursue several advantages in hiring individuals with the set of emotional, social, and cognitive (ESC competencies that are most critical for business success. Therefore, the role of education for competency development is becoming paramount. Prior studies have questioned the traditional methods, grounded in the lecture format, as a way to effectively develop ESC competencies. Alternatively, they propose experiential learning techniques that involve participants in dedicated courses or activities. Despite the insights provided by these studies, they do not take into account a comprehensive set of learning methods and their combined effect on the individual’s competency portfolio within educational programs that aim to transfer primarily professional skills. Our study aims to fill these gaps by investigating the impact of the interplay between different learning methods on ESC competencies through a sample of students enrolled in the first year of a master’s degree program. After providing a classification of three learning methods (traditional learning, individual experiential learning, and social experiential learning, the study delves into their combined influence on ESC competencies, adopting the Artificial Neural Network. Contrary to prior studies, our results provide counterintuitive evidence, suggesting that traditional learning needs to be implemented together, on the one hand, with individual experiential learning to achieve a significant effect on emotional competencies and, on the other hand, with social experiential learning to have an impact on social competencies. Moreover, individual experiential learning plays a prominent role in stimulating cognitive competencies. Our research contributes to educational literature by providing new insights on the effective combination of learning methods that can be adopted into programs that transfer technical knowledge and skills to promote
Niebuhr, Virginia; Niebuhr, Bruce; Trumble, Julie; Urbani, Mary Jo
Faculty who want to develop e-learning materials face pedagogical challenges of transforming instruction for the online environment, especially as many have never experienced online learning themselves. They face technical challenges of learning new software and time challenges of not all being able to be in the same place at the same time to learn these new skills. The objective of the Any Day Any Place Teaching (ADAPT) faculty development program was to create an online experience in which faculty could learn to produce e-learning materials. The ADAPT curriculum included units on instructional design, copyright principles and peer review, all for the online environment, and units on specific software tools. Participants experienced asynchronous and synchronous methods, including a learning management system, PC-based videoconferencing, online discussions, desktop sharing, an online toolbox and optional face-to-face labs. Project outcomes were e-learning materials developed and participants' evaluations of the experience. Likert scale responses for five instructional units (quantitative) were analyzed for distance from neutral using one-sample t-tests. Interview data (qualitative) were analyzed with assurance of data trustworthiness and thematic analysis techniques. Participants were 27 interprofessional faculty. They evaluated the program instruction as easy to access, engaging and logically presented. They reported increased confidence in new skills and increased awareness of copyright issues, yet continued to have time management challenges and remained uncomfortable about peer review. They produced 22 new instructional materials. Online faculty development methods are helpful for faculty learning to create e-learning materials. Recommendations are made to increase the success of such a faculty development program.
Full Text Available Rishab Ghosh 48 Findings: formal learning In comparison with formal ICT courses: ● FLOSS provides a better, practical learning environment for many technical skills: – Writing reusable code & debugging – Working... run and maintain complex software systems Basic / introductory programming skills To look for and fix bugs To become familiar with different programming languages To write code in a way that it can be re used To design modular code To document code To create new algorithms a...
The complexity and variability of human culture is unmatched by any other species. Humans live in culturally constructed niches filled with artifacts, skills, beliefs, and practices that have been inherited, accumulated, and modified over generations. A causal account of the complexity of human culture must explain its distinguishing characteristics: It is cumulative and highly variable within and across populations. I propose that the psychological adaptations supporting cumulative cultural transmission are universal but are sufficiently flexible to support the acquisition of highly variable behavioral repertoires. This paper describes variation in the transmission practices (teaching) and acquisition strategies (imitation) that support cumulative cultural learning in childhood. Examining flexibility and variation in caregiver socialization and children’s learning extends our understanding of evolution in living systems by providing insight into the psychological foundations of cumulative cultural transmission—the cornerstone of human cultural diversity. PMID:28739945
Legare, Cristine H
The complexity and variability of human culture is unmatched by any other species. Humans live in culturally constructed niches filled with artifacts, skills, beliefs, and practices that have been inherited, accumulated, and modified over generations. A causal account of the complexity of human culture must explain its distinguishing characteristics: It is cumulative and highly variable within and across populations. I propose that the psychological adaptations supporting cumulative cultural transmission are universal but are sufficiently flexible to support the acquisition of highly variable behavioral repertoires. This paper describes variation in the transmission practices (teaching) and acquisition strategies (imitation) that support cumulative cultural learning in childhood. Examining flexibility and variation in caregiver socialization and children's learning extends our understanding of evolution in living systems by providing insight into the psychological foundations of cumulative cultural transmission-the cornerstone of human cultural diversity.
Wang, Tongtong; Xiao, Zhiqiang; Liu, Zhigang
Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatially incomplete and temporally discontinuous, and thus they cannot meet the needs of practical applications. To generate high-quality LAI products, four machine learning algorithms, including back-propagation neutral network (BPNN), radial basis function networks (RBFNs), general regression neutral networks (GRNNs), and multi-output support vector regression (MSVR) are proposed to retrieve LAI from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data in this study and performance of these machine learning algorithms is evaluated. The results demonstrated that GRNNs, RBFNs, and MSVR exhibited low sensitivity to training sample size, whereas BPNN had high sensitivity. The four algorithms performed slightly better with red, near infrared (NIR), and short wave infrared (SWIR) bands than red and NIR bands, and the results were significantly better than those obtained using single band reflectance data (red or NIR). Regardless of band composition, GRNNs performed better than the other three methods. Among the four algorithms, BPNN required the least training time, whereas MSVR needed the most for any sample size. PMID:28045443
Luce, David W
Undergraduate education must address student's developmental needs, as well as their learning needs. Yet, there has been little discussion regarding music therapy students' epistemological development, how that influences their education and clinical training, and how that understanding can inform educators and clinical supervisors. As part of an introductory music therapy course that was taught using collaborative learning consensus groups, students provided written and verbal comments about their experience and some students agreed to a series of interviews (Luce, 2002). This hermeneutic analysis of that data was based upon Perry's Scheme and Women's Ways of Knowing suggested that (a) the students' comments reflected the various perspectives or positions within the models, (b) the collaborative learning consensus groups facilitated transitions and movement within the models, and (c) there was a need for more research to understand music therapy students' developmental needs, to enhance teaching methods and pedagogy, and to address students' developmental needs as they prepare to enter the profession.
Full Text Available In the twenty first century, teachers are required to have a digital literacy skill. They must be able to integrate technology in learning process. It was already conducted by a teacher in one of public junior high schools in Jakarta. She searched the materials from the internet but she had a problem to adjust the learning materials to her students’ needs and characteristics. Therefore, this study was undertaken to explore deeply how to develop e-learning in English class based on her students’ needs and characteristics. This study employed research and development methodology. The participants were an English teacher and the first graders of junior high school. The result showed that this e-learning used PHP, Framework Bookstrap and MySQL. The e-learning also used Adobe Flash and Adobe Illustrator to make some animated videos. It consisted of listening, reading, and grammar which the topic focused on descriptive texts comprising some themes referring to 2013 curriculum. Those themes were people, animal, thing, place, and occupation. The development of e-learning deserved to be implemented after it was validated by the expert, evaluated by the teacher and tested to the students. It is expected to contribute as supplemental learning media in English learning process.
Kristin K. Janke, Ph.D.
Full Text Available The Clifton StrengthsFinder® is an online measure of personal talent that identifies where an individual’s greatest potential for building strengths exists. This paper describes a framework for strengths education in pharmacy which includes introductory, intermediate and advanced levels of learning. The use of the StrengthsFinder® assessment and supporting workshops aids student pharmacists, pharmacy residents and practitioners in identifying and refining their talents and connecting talents to roles in the profession. Additional learning strategies support a learner’s progression to intermediate and advanced levels of learning, which focus on the application of strengths in teams, leadership, and organizational development. By articulating and recognizing levels of learning around strengths-related content and skills, strong instructional design is fostered. Optimal design includes development of a sequence of learning opportunities delivered over time, a roll-out plan and consideration of the instructional resources required.
Full Text Available The Clifton StrengthsFinder™ is an online measure of personal talent that identifies where an individual's greatest potential for building strengths exists. This paper describes a framework for strengths education in pharmacy which includes introductory, intermediate and advanced levels of learning. The use of the StrengthsFinder™ assessment and supporting workshops aids student pharmacists, pharmacy residents and practitioners in identifying and refining their talents and connecting talents to roles in the profession. Additional learning strategies support a learner's progression to intermediate and advanced levels of learning, which focus on the application of strengths in teams, leadership, and organizational development. By articulating and recognizing levels of learning around strengths-related content and skills, strong instructional design is fostered. Optimal design includes development of a sequence of learning opportunities delivered over time, a roll-out plan and consideration of the instructional resources required. Type: Idea Paper
Marianne Amir Azer
Full Text Available Education is an important component of any nation’s development process. Society has been credited with creating technology, but technology is simultaneously creating society. One of the key benefits of such technology creation includes learning and curriculum development, which is otherwise referred to as e-leaning, and more appropriately referred to as global e-learning. Global e-learning raises some implications, which include communication, culture, and technology, that must be addressed before successful implementation and outcome can occur. In this paper, we discuss cultural related issues such as culture influence on e-learning and the dimensions of cultural variability. In addition, we present the main challenges to provide e-learning opportunities. Finally, a case study for facing the cultural challenges is presented; this will be followed by concluding remarks at the end of this paper.
Full Text Available The importance of accessibility to digital resources is now widely acknowledged. The W3C WAI has played a significant role in promoting the importance of accessibility and developing a framework for accessible Web resources. The accessibility of e-learning provides additional challenges that may not be faced when providing access to other Web resources. The authors argue that there is a need for a more sophisticated model for addressing e-learning accessibility which takes into account the usability of e-learning, pedagogic issues and student learning styles in addition to technical and resource issues. The authors expand on these issues and propose a holistic model for the development of accessible e-learning resources.
Koenig, Allison L.; Smith, Amber R.
Media and popular culture reach broad audiences and have the potential to be an invaluable teaching resource in terms of promoting adult education and learning. Human resource development instructors can use media artifacts (e.g., films, television, novels, and cartoons) as useful methods to demonstrate learning theory and adult development…
Indiana Department of Education, 2015
The "Foundations" (English/language arts, mathematics, social emotional skills, approaches to play and learning, science, social studies, creative arts, and physical health and growth) are Indiana's early learning development framework and are aligned to the 2014 Indiana Academic Standards. This framework provides core elements that…
McIlveen, Peter; Brooks, Sally; Lichtenberg, Anna; Smith, Martin; Torjul, Peter; Tyler, Joanne
This paper is a report on the perceived correspondence between career development learning and work-integrated learning programs that were delivered by career services in Australian higher education institutions. The study entailed a questionnaire survey of representatives of university career services. The questionnaire dealt with the extent to…
Chappell, Clive; Hawke, Geof
The purpose of this research activity was to investigate contemporary understandings of the connections between learning and work. This initial work was then used to inform the development of an organisational tool that registered training organisations (RTOs) could use to identify organisational practices likely to lead to greater learning at…
Su, C. Y.; Chiu, C. H.; Wang, T. I.
This study incorporates the 5E learning cycle strategy to design and develop Sharable Content Object Reference Model-conformant materials for elementary science education. The 5E learning cycle that supports the constructivist approach has been widely applied in science education. The strategy consists of five phases: engagement, exploration,…
Dwiyogo, Wasis D.
The main objectives of the study were to develop and investigate the implementation of blended learning based method for problem-solving. Three experts were involved in the study and all three had stated that the model was ready to be applied in the classroom. The implementation of the blended learning-based design for problem-solving was…
Mavroudi, Anna; Giannakos, Michail; Krogstie, John
Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…
Gürleyik, Sinan; Akdemir, Elif
Developing curriculum to enhance student learning is the primer purpose of all curricular activities. Availability of recent tools supporting to teach various skills including reading, listening, speaking and writing has opened a new avenue for curricular activities in technology-enhanced learning environments. Understanding the perceptions of…
Clements, Michael David; Cord, Bonnie Amelia
As industry demands increase for a new type of graduate, there is more pressure than ever before for higher education (HE) to respond by cultivating and developing students who are prepared for these workplace challenges. This paper explores an innovative experiential learning programme built on the principles of work-related learning that…
van Kleef, J.A.G.
Since the 1960s, the attention paid by policy makers and scientists to the negative environmental and social effects of economic development has grown steadily. However, although some progress has been made in a number of areas, unsustainable trends in the patterns of our systems of production and
Kušová, Drahomíra; Těšitel, Jan; Bartoš, Michael
Roč. 14, č. 3 (2008), s. 221-234 ISSN 1211-7420 Institutional research plan: CEZ:AV0Z60870520 Keywords : nature protection * learning sites * biosphere reserves * sustainable development Subject RIV: DO - Wilderness Conservation
The Clinical Learning Spiral incorporates reflective processes into undergraduate nursing education. It entails successive cycles of four phases: preparative (briefing, planning), constructive (practice development), reflective (debriefing), and reconstructive (planning for change and commitment to action). (SK)
Babb, Jeffry S.; Hoda, Rashina; Nørbjerg, Jacob
The adoption of agile methods promises many advantages for individual, team, and organizational learning. However, environmental, structural, and organizational/cultural constraints often find teams adapting agile software development methods rather than engaging in full adoption. We present resu...
Information literacy, the ability to search and assess information and use relevant and valid ... as virtual rooms and time management are prerequisites for many employment opportunities. ... Keywords: ICT, e-learning, sustainable development ...
Full Text Available On the general direction of the economic system, China is in a crucial period of the establishment of the modern enterprise system and reform of the macroeconomic system, and a lot of high-quality business administration talents are required to make China’s economy be stably developed. This paper carries out time series analysis of the development situation of China’s business administration major: on the whole, the society currently presents an upward trend on the demand for the business administration talents. With the gradually increasing demand for the business administration talents, various colleges and universities also set up the business administration major to train a large number of administration talents, thus leading to an upward trend for the academic focus on business administration.
Kanchymalay, Kasturi; Salim, N.; Sukprasert, Anupong; Krishnan, Ramesh; Raba'ah Hashim, Ummi
The aim of this paper was to study the correlation between crude palm oil (CPO) price, selected vegetable oil prices (such as soybean oil, coconut oil, and olive oil, rapeseed oil and sunflower oil), crude oil and the monthly exchange rate. Comparative analysis was then performed on CPO price forecasting results using the machine learning techniques. Monthly CPO prices, selected vegetable oil prices, crude oil prices and monthly exchange rate data from January 1987 to February 2017 were utilized. Preliminary analysis showed a positive and high correlation between the CPO price and soy bean oil price and also between CPO price and crude oil price. Experiments were conducted using multi-layer perception, support vector regression and Holt Winter exponential smoothing techniques. The results were assessed by using criteria of root mean square error (RMSE), means absolute error (MAE), means absolute percentage error (MAPE) and Direction of accuracy (DA). Among these three techniques, support vector regression(SVR) with Sequential minimal optimization (SMO) algorithm showed relatively better results compared to multi-layer perceptron and Holt Winters exponential smoothing method.
Ellizar, E.; Hardeli, H.; Beltris, S.; Suharni, R.
Scientific Approach is a learning process, designed to make the students actively construct their own knowledge through stages of scientific method. The scientific approach in learning process can be done by using learning modules. One of the learning model is discovery based learning. Discovery learning is a learning model for the valuable things in learning through various activities, such as observation, experience, and reasoning. In fact, the students’ activity to construct their own knowledge were not optimal. It’s because the available learning modules were not in line with the scientific approach. The purpose of this study was to develop a scientific approach discovery based learning module on Acid Based, also on electrolyte and non-electrolyte solution. The developing process of this chemistry modules use the Plomp Model with three main stages. The stages are preliminary research, prototyping stage, and the assessment stage. The subject of this research was the 10th and 11th Grade of Senior High School students (SMAN 2 Padang). Validation were tested by the experts of Chemistry lecturers and teachers. Practicality of these modules had been tested through questionnaire. The effectiveness had been tested through experimental procedure by comparing student achievement between experiment and control groups. Based on the findings, it can be concluded that the developed scientific approach discovery based learning module significantly improve the students’ learning in Acid-based and Electrolyte solution. The result of the data analysis indicated that the chemistry module was valid in content, construct, and presentation. Chemistry module also has a good practicality level and also accordance with the available time. This chemistry module was also effective, because it can help the students to understand the content of the learning material. That’s proved by the result of learning student. Based on the result can conclude that chemistry module based on
Joko; Septia Wulandari, Gayuh
The development of Learning Management System (LMS) can be used as an online learning media by managing the teacher in delivering the material and giving a task. This study aims to: 1) to know the validity of learning devices using LMS with Edmodo, 2) know the student’s response to LMS implementation using Edmodo, and 3) to know the difference of the learning outcome that is students who learned by using LMS with Edmodo and Direct Learning Model (DLM). This research method is quasi experimental by using control group pretest-posttest design. The population of the study was the student at SMKN 1 Sidoarjo. Research sample X TITL 1 class as control goup, and X TITL 2 class as experimental group. The researcher used scale rating to analyze the data validity and students’ respon, and t-test was used to examine the difference of learning outcomes with significant 0.05. The result of the research shows: 1) the average learning device validity use Edmodo 88.14%, lesson plan validity is 92.45%, pretest-posttest validity is 89.15%, learning material validity is 84.64%, and affective and psychomotor-portfolio observation sheets validity is 86.33 included very good criteria or very suitable to be used for research; 2) the result of students’ response questionnaire after taught by using LMS with Edmodo 86.03% in very good category and students agreed that Edmodo can be used in learning; and 3) the learning outcome of LMS by using Edmodo with DLM are: a) there are significant difference of the student cognitive learning outcome which is taught by using Edmodo with the student who use DLM. The average of student learning outcome that is taught LMS using Edmodo is 81.69 compared to student with DLM outcome 76.39, b) there is difference of affective learning outcome that is taught LMS using Edmodo compared to student using DLM. The average of student learning outcomeof affective that is taught LMS by using Edmodo is 83.50 compared students who use DLM 80.34, and c) there is
Full Text Available M-learning is the style of learning for the new millennium. Decreases in cost and increases in capabilities of mobile devices have made this medium attractive for the dissemination of knowledge. Mobile engineers, software developers, and educationists represent the supply side of this technology, whereas students represent the demand side. In order to further develop and improve this medium of learning it is imperative to find out students’ perceptions about m-learning adoption. To achieve this objective a survey was conducted among the students of 10 chartered universities operating in the twin cities of Rawalpindi and Islamabad in Pakistan. The results indicate that perceived usefulness, ease of use, and facilitating conditions significantly affect the students’ intention to adopt m-learning, whereas perceived playfulness is found to have less influence. Social influence is found to have a negative impact on adoption of m-learning. The findings of this study are useful in providing guidance to developers and educators for designing m-learning courses specifically in the context of developing countries.
Full Text Available The growth of the mobile industry is an important aspect in the link of the global village. Another aspect is theInternet. The introduction of VoIP, video conferencing, emailing and TV reviewing also support the communicationbecoming much easier. The Internet becomes a reliable source of information; Users learn more from the Internetthan anywhere else. Therefore, there are many educational institutions publishing their learning material on theInternet. So that e-learning becomes an essential learning method now days. Student can access the learning materialeverywhere, every time. While the mobile industry offers many 3G services, mobile operators still lack of theapplication that allowing users to access learning material while on the move. Mobile learning is an excellentsolution to solve this problem. This will be supported by mobile features improvement, cheaper and faster data rates.This paper gives a simple idea of developing mobile learning where users can access learning material in similarway to blackboard via mobile devices, called blackboard mobile.
The full text of CERN’s “Learning and Development Policy” is now available in English and French on the HR training website: cern.ch/hr-training/. This new policy was presented to all personnel in the HR Public meeting held on Monday 25 June, and the slides and the video recording remain available on Indico. Pascale Goy, Head of the Learning and Development Group in HR, is available for more information: email@example.com , tel. 62232.
Babb, Jeffry; Hoda, Rashina; Nørbjerg, Jacob
The theoretical underpinnings of agile methods emphasize regular reflection as a means to sustainable development pace and continuous learning, but in practice, high iteration pressure can diminish reflection opportunities. The Reflective Agile Learning Model (REALM) combines insights and results...... from studies of agile development practices in India, New Zealand, and the US with Schön’s theory of reflective practice to embed reflection in everyday agile practices....
Poels, Yorick; Annema, Jan Henk; Zaman, Bieke; Cornillie, Frederik
This paper will report on an ongoing project which aims to develop video games for language learning through a user-centered and evidence-based approach. Therefore, codesign sessions were held with adolescents between 14 and 16 years old, in order to gain insight into their preferences for educational games for language learning. During these sessions, 11 concepts for video games were developed. We noticed a divide between the concepts for games that were oriented towa...
Full Text Available The mobile market development has a high impact on all domains including education. Smart mobile devices started to be affordable and the massive use on educational processes does not seem to be too far. Mobile learning applications are be targeted for all major mobile operating systems as native applications or Web-based. The objective of this paper is to present the implementation of the evaluation module for an m-learning application developed for iOS devices. The m-learning application is targeted to a higher education institution. The application uses Web services in order to obtain the content and to authenticate the users.
Schumacher, Daniel J; Englander, Robert; Carraccio, Carol
As a result of the paradigm shift to a competency-based framework, both self-directed lifelong learning and learner-centeredness have become essential tenets of medical education. In the competency-based framework, learners drive their own educational process, and both learners and teachers share the responsibility for the path and content of learning. This learner-centered emphasis requires each physician to develop and maintain lifelong learning skills, which the authors propose culminate in becoming a "master leaner." To better understand the development of these skills and the attainment of that goal, the authors explore how learning theories inform the development of master learners and how to translate these theories into practical strategies for the learner, the teacher, and the learning environment so as to optimize this development.The authors begin by exploring self-determination theory, which lays the groundwork for understanding the motivation to learn. They next consider the theories of cognitive load and situated cognition, which inform the optimal context and environment for learning. Building from this foundation, the authors consider key educational theories that affect learners' abilities to serve as primary drivers of their learning, including self-directed learning (SDL); the self-assessment skills necessary for SDL; factors affecting self-assessment (self-concept, self-efficacy, illusory superiority, gap filling); and ways to mitigate the inaccuracies of self-assessment (reflection, self-monitoring, external information seeking, and self-directed assessment seeking).For each theory, they suggest practical action steps for the learner, the teacher, and the learning environment in an effort to provide a road map for developing master learners.
The only Unity book specifically covering 2D game development Written by Alan Thorn, experience game developer and author of seven books on game programming Hands-on examples of all major aspects of 2D game development using Unity
Full Text Available The e-learning system provides the development of the learning process by organizing and correlating the following: general managerial activities, organizing activities of the learning process, sustaining activities of the learning process. This article c
...] Medicare Program; Accountable Care Organization Accelerated Development Learning Sessions; Center for... (CMS). This two-day training session is the second Accelerated Development Learning Session (ADLS.... Through Accelerated Development Learning Sessions (ADLS), the Innovation Center will test whether...
...] Medicare Program; Accountable Care Organization Accelerated Development Learning Sessions; Center for... Services (CMS). This two-day training session is the third and final Accelerated Development Learning... the quality of care for beneficiaries. Through Accelerated Development Learning Sessions (ADLS), the...
Vyas, Rashmi; Faith, Minnie; Selvakumar, Dhayakani; Pulimood, Anna; Lee, Mary
The Christian Medical College, Vellore, in collaboration with Tufts University, Boston, conducted an advanced workshop in e-learning for medical faculty members in India. E-learning can enhance educational reforms for today's computer-literate generation, and keep faculty members up to speed in a rapidly changing world. The purpose of this paper is to report on the design and evaluation of a project-based faculty member development programme focused on developing faculty members as educators and as peer trainers who can use e-learning for educational reforms. During a 2-day workshop, 29 participants in groups of two or three developed 13 e-learning projects for implementation in their institutions. Evaluation of the workshop was through written feedback from the participants at the end of the workshop and by telephone interview with one participant from each project group at the end of one year. Content analysis of qualitative data was perfomed. The participants reported that they were motivated to implement e-learning projects and recognised the need for and usefulness of e-learning. The majority of projects (10 out of 13) that were implemented 'to some extent' or 'to a great extent' faced challenges with a lack of resources and administrative support, but faculty members were able to overcome them. E-learning can enhance educational reforms for today's computer-literate generation IMPLICATIONS: Designing feasible e-learning projects in small groups and obtaining hands-on experience with e-learning tools enhance the effectiveness of subsequent implementation. To successfully incorporate e-learning when designing educational reforms, faculty member training, continuing support and infrastructure facilities are essential. © 2016 John Wiley & Sons Ltd.
Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng
Traditional outdoor learning activities such as inquiry-based learning in nature science encounter many dilemmas. Due to prompt development of mobile computing and widespread of mobile devices, mobile learning becomes a big trend on education. The main purpose of this study is to develop a mobile-learning management system for overcoming the…
Cockett, R.; Heagy, L. J.; Kang, S.; Rosenkjaer, G. K.
Inverse modelling provides a mathematical framework for constructing a model of physical property distributions in the subsurface that are consistent with the data collected in geophysical surveys. The geosciences are increasingly moving towards the integration of geological, geophysical, and hydrological information to better characterize the subsurface. This integration must span disciplines and is not only challenging scientifically, but additionally the inconsistencies between conventions often makes implementations complicated, non reproducible, or inefficient. SimPEG is an open-source, multi-university effort aimed at providing a generalized framework for solving forward and inverse problems. SimPEG includes finite volume discretizations on structured and unstructured meshes, interfaces to standard numerical solver packages, convex optimization algorithms, model parameterizations, and visualization routines. The SimPEG package (http://simpeg.xyz) supports an ecosystem of forward and inverse modelling applications, including electromagnetics, vadose zone flow, seismic, and potential fields, that are all written with a common interface and toolbox. The goal of SimPEG is to support a community of researchers with well-tested, extensible tools, and encourage transparency and reproducibility both of the SimPEG software and the geoscientific research it is applied to. In this presentation, we will share some of the lessons we have learned in designing the modular infrastructure, testing and development practices of SimPEG. We will discuss our use of version control, extensive unit-testing, continuous integration, documentation, issue tracking, and resources that facilitate communication between existing team members and allows new researchers to get involved. These practices have enabled the use of SimPEG in research, industry, and education as well as the ability to support a growing number of dependent repositories and applications. We hope that sharing our
Chan, Teresa M; Thoma, Brent; Lin, Michelle
It is difficult to engage clinicians in continuing medical education that does not focus on clinical expertise. Evolving online technologies (e.g., massive open online courses [MOOCs]) are disrupting and transforming medical education, but few online nonclinical professional development resources exist. In August 2013, the Academic Life in Emergency Medicine Web site launched the Medical Education in Cases (MEdIC) series to engage clinicians in an online professional development exercise. Each month, a complex, realistic scenario featuring a nonclinical medical education dilemma is published with accompanying discussion questions. A weeklong discussion is moderated on Twitter and the Web site. This discussion is curated to create a community commentary, which is published alongside presolicited expert responses. Case resources are available for download. The first six MEdIC cases (published August 2013-January 2014) emphasized different CanMEDS and/or Accreditation Council on Graduate Medical Education competencies. Median reader engagement metrics (interquartile range 25%-75%) in the first week following publication were 861 (634-1,114) pageviews, 767 (518-953) unique visitors from 326 (218-405) cities in 45 (32-50) countries, 30 (24-39) comments, 52 (40-56) tweets, 17 (13-30) Facebook Likes, and 5 (5-7) Google Plus +1s. The MEdIC series is proof of concept that online activities can engage clinicians in nonclinical professional development. The early experience suggests the connectivist nature of MEdIC allows for crowdsourcing solutions to ill-defined problems via the wisdom of readers. This methodology may also be effective for other nonclinical and medical education topics.
Darby, Kevin P.; Sloutsky, Vladimir M.
Learning often affects future learning and memory for previously learned information by exerting either facilitation or interference effects. Several theoretical accounts of interference effects have been proposed, each making different developmental predictions. This research examines interference effects across development, with the goal of better understanding mechanisms of interference and of memory development. Preschool-aged children and adults participated in a three-phased associative learning paradigm containing stimuli that were either unique or repeated across phases. Both age groups demonstrated interference effects, but only for repeated items. Whereas proactive interference effects were comparable across age groups, retroactive interference reached catastrophic-like levels in children. Additionally, retroactive interference increased in adults when contextual differences between phases were minimized (Experiment 2), and decreased in adults who were more successful at encoding repeated pairs of stimuli during a training phase (Experiment 3). These results are discussed with respect to theories of memory and memory development. PMID:25688907
Full Text Available This study explores the self-regulated learning (SRL experiences of international students in developing English language academic literacy essential for successful transition to university. The participants in this study were a small, diverse group of first year undergraduate students who sought academic support from the Academic Skills Centre at an Australian university. They were given the opportunity to independently access an online program, Study Skills Success, over the duration of one semester to develop their academic literacy in English. Data for this study were collected from a pre- and post-program questionnaire, interviews, a focus group discussion, and reflective online learning logs. These sources gathered information regarding the participants’ motivation and attitudes, their online learning experiences and strategy use, and the perceived benefits of SRL online. The findings from this study have implications for supporting the transition of first year students to university by developing essential academic skills through independent online learning.
Paulsson, Katarina; Ivergård, Toni; Hunt, Brian
Changes in work and the ways in which it is carried out bring a need for upgrading workplace knowledge, skills and competencies. In today's workplaces, and for a number of reasons, workloads are higher than ever and stress is a growing concern (Health Risk Soc. 2(2) (2000) 173; Educat. Psychol. Meas. 61(5) (2001) 866). Increased demand for learning brings a risk that this will be an additional stress factor and thus a risk to health. Our research study is based on the control-demand-support model of Karasek and Theorell (Health Work: Stress, Productivity and the Reconstruction of Working Life, Basic Books/Harper, New York, 1990). We have used this model for our own empirical research with the aim to evaluate the model in the modern workplace. Our research enables us to expand the model in the light of current workplace conditions-especially those relating to learning. We report empirical data from a questionnaire survey of working conditions in two different branches of industry. We are able to define differences between companies in terms of working conditions and competence development. We describe and discuss the effects these conditions have on workplace competence development. Our research results show that increased workers' control of the learning process makes competence development more stimulating, is likely to simplify the work and reduces (learning-related) stress. It is therefore important that learning at work allows employees to control their learning and also allows time for the process of learning and reflection.
Hansen, Line Skov; Hansen, Ole; Guttorm Andersen, Pia
The content of this article includes experiences and results of a comprehensive development project for schools and kindergartens in Denmark. The project includes all pedagogical professionals within the organization and contains a professional development sequence based on among other things e-learning...... where pedagogical professionals collaboratively develop their common and individual practices. The article takes a look at both the challenges and potentials that have surfaced using e-learning as part of the framework for both professional and organizational development. In addition, the article...... proposes how the experience gathered from this existing project can be used as springboard to design new professional development projects where e-learning becomes an important element of competency development for pedagogical professionals in schools and kindergartens closely related to practice....
Nicol, Christine J
This review highlights two areas of particular interest in the study of social learning in fowl. First, the role of social learning in the development of feeding and foraging behavior in young chicks and older birds is described. The role of the hen as a demonstrator and possible teacher is considered, and the subsequent social influence of brood mates and other companions on food avoidance and food preference learning is discussed. Second, the way in which work on domestic fowl has contributed to an understanding of the importance of directed social learning is examined. The well-characterized hierarchical social organization of small chicken flocks has been used to design studies which demonstrate that the probability of social transmission is strongly influenced by social relationships between birds. The practical implications of understanding the role of social learning in the spread of injurious behaviors in this economically important species are briefly considered.
Larsen, Lasse Juel; Helms, Niels Henrik
of tangible learning media and develop didactic approaches for teachers in a primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between....... This paper therefore aims at illustrating how and why the “Octopus” works and functions in a learning community (school) and discus the relations between distinctions, embodiment, intelligent contexts, structure and flow. This paper introduces a new reading of pervasive learning environments as the “Octopus......” through M.M. Bachtins concept of “Chronotopos” or how time and space influence and structure experience and learning. We have adapted this theory that originally is about literature in order to find new ways of understanding the time and place relation in learning....
Rock, Kim Z
This study’s purpose was to better understand the transfer of learning by uncovering how various factors supported the integration of health information technology knowledge and skills gleaned from the Health Resources and Services Administration–funded faculty development programs into nursing education curricula. Through interviews with 20 participants from four programs, this study confirmed the importance of findings related to faculty, program, and work environment characteristics for supporting successful transfer of learning and substantiates a variety of other transfer-of-learning research. New or seldom discussed supportive individual characteristics were found, including leadership abilities, lifelong learning, ability to recognize limitations, persistence, creativity, and risk taking. The importance of networking, diversity of perspectives, postconference support, and teams in program designs were found to positively influence transfer. The variety of supportive factors and barriers in the participants’ work environments strengthens the assertions that transfer may be context dependent. Findings provided insight for recommendations to improve learning transfer. Copyright 2014, SLACK Incorporated.
Full Text Available The recent and rapid development of mobile devices and the increasing popularity of e learning have created a demand for mobile learning packages and environments. We have analyzed the possibilities of adapting the existing content for mobile devices, and have implemented two fundamentally different systems to satisfy the demand that has arisen. One of the systems creates e learning courses from existing materials and adapts them to the specified platform (this system realizes the functionalities of the Content Management System. The other system is a modified version of the Moodle Learning Management System, which can adapt existing courses right before displaying them. This paper discuses the fundamentals of e learning, the design considerations and investigates various methods of scalable video coding. Finally the realization details of the two systems are presented.
Jan M. Nauta; Jo Platenkamp; Marike Hettinga
In a pilot project, a blended-learning course “Research and Development” was developed. This course is taught according to the flipped classroom principle. To develop the course, the ADDIE-model (Analysis, Design, Development, Implementation, and Evaluation) was used. During the evaluation phase, we
This publication focuses on national and international policy initiatives to develop a better understanding of work-based learners and the types of flexibility that may well enhance their study especially pedagogically. As part of our five-strand research project "Flexible Pedagogies: preparing for the future" it: (1) highlights the…
Vandergrift, Larry; Goh, Christine C. M.
This reader-friendly text, firmly grounded in listening theories and supported by recent research findings, offers a comprehensive treatment of concepts and knowledge related to teaching second language (L2) listening, with a particular emphasis on metacognition. The metacognitive approach, aimed at developing learner listening in a holistic…
This student guide is intended to assist persons employed as supervisors in developing communication skills. Discussed in the first two sections are the nature of communication (communication skills and processes and planning communications) and the skills of communication (writing, speaking, and behavioral skills). Each of these sections contains…
Boulanger Bertolus, Julie; Mouly, Anne-Marie; Sullivan, Regina M
As altricial infants gradually transition to adults, their proximate environment changes. In three short weeks, pups transition from a small world with the caregiver and siblings to a complex milieu rich in dangers as their environment expands. Such contrasting environments require different learning abilities and lead to distinct responses throughout development. Here, we will review some of the learned fear conditioned responses to threats in rats during their ontogeny, including behavioral and physiological measures that permit the assessment of learning and its supporting neurobiology from infancy through adulthood. In adulthood, odor-shock conditioning produces robust fear learning to the odor that depends upon the amygdala and related circuitry. Paradoxically, this conditioning in young pups fails to support fear learning and supports approach learning to the odor previously paired with shock. This approach learning is mediated by the infant attachment network that does not include the amygdala. During the age range when pups transition from the infant to the adult circuit (10-15 d old), pups have access to both networks: odor-shock conditioning in maternal presence uses the attachment circuit but the adult amygdala-dependent circuit when alone. However, throughout development (as young as 5 d old) the attachment associated learning can be overridden and amygdala-dependent fear learning supported, if the mother expresses fear in the presence of the pup. This social modulation of the fear permits the expression of defense reactions in life threatening situations informed by the caregiver but prevents the learning of the caregiver itself as a threat. © 2016 Boulanger Bertolus et al.; Published by Cold Spring Harbor Laboratory Press.
As altricial infants gradually transition to adults, their proximate environment changes. In three short weeks, pups transition from a small world with the caregiver and siblings to a complex milieu rich in dangers as their environment expands. Such contrasting environments require different learning abilities and lead to distinct responses throughout development. Here, we will review some of the learned fear conditioned responses to threats in rats during their ontogeny, including behavioral and physiological measures that permit the assessment of learning and its supporting neurobiology from infancy through adulthood. In adulthood, odor–shock conditioning produces robust fear learning to the odor that depends upon the amygdala and related circuitry. Paradoxically, this conditioning in young pups fails to support fear learning and supports approach learning to the odor previously paired with shock. This approach learning is mediated by the infant attachment network that does not include the amygdala. During the age range when pups transition from the infant to the adult circuit (10–15 d old), pups have access to both networks: odor–shock conditioning in maternal presence uses the attachment circuit but the adult amygdala-dependent circuit when alone. However, throughout development (as young as 5 d old) the attachment associated learning can be overridden and amygdala-dependent fear learning supported, if the mother expresses fear in the presence of the pup. This social modulation of the fear permits the expression of defense reactions in life threatening situations informed by the caregiver but prevents the learning of the caregiver itself as a threat. PMID:27634146
Full Text Available In this study, we use a new proposed framework to develop the Hamiltonian circuit learning games for college students. The framework is for enhancing learners’ activities with learning reflexiveness. The design of these games is based on this framework to achieve the targeted learning outcomes. In recent years, the game-based learning is a very popular research topic. The Hamiltonian circuit is an important concepts for learning many computer science and electric engineering topics, such as IC design routing algorithm. The developed games use guiding rules to enable students to learn the Hamiltonian circuit in complicate graph problem. After the game, the learners are given a reviewing test which using the animation film for explaining the knowledge. This design concept is different from the previous studies. Through this new design, the outcome gets the better learning results under the effect of reflection. The students will have a deeper impression on the subject, and through self-learning and active thinking, in the game will have a deeper experience.
Full Text Available Engineering economics plays an important role in decision making. Also, the cash flows, time value of money and interest rates are the most important research fields in mathematical finance. Generalized formulae obtained from a variety of models with the time value of money and cash flows are inadequate to solve some problems. In this study, a new generalized formulae is considered for the first time and derived from a loan payment model which is a certain number of payment amount determined by customer at the beginning of payment period and the other repayments with piecewise linear gradient series. As a result, some numerical examples with solutions are given for the developed models.
Wilson, Penne L.
This study was conducted as part of the five year evaluation of the Star Schools grant awarded to Oklahoma State University for the development on online teacher professional development in the Hypothesis Based Learning (HbL) method of science instruction. Participants in this research were five teachers who had completed the online workshop, submitted a lesson plan, and who allowed this researcher and other members of the University of New Mexico Evaluation Team into their classrooms to observe and to determine if the learning of the method from the online HbL workshop had translated into practice. These teachers worked in inner city, suburban, metropolitan, and rural communities in the U.S. Southwest. This study was conducted to determine if teachers learned the HbL method from the online HbL workshop, to examine the relationship of satisfaction to learning, and to determine the elements of the online workshop that led to teacher learning. To measure learning of HbL, three different assessment instruments were used: embedded assessments within the online HbL workshop that gave teachers a scenario and asked them to generate questions to facilitate the HbL process; the analysis of a lesson plan provided by teachers using a science concept that they wished to incorporate in their curriculum using an HbL lesson template provided at the HbL website; and, observations of teachers facilitating the HbL process conducted at three different times during the year that they began the HbL online workshop. To determine if teachers were satisfied with the learning environment, the online HbL workshop, and the product, HbL Method for Teaching Science, and to determine if teachers could identify the elements of the online workshop that led to learning, interviews with the participants were conducted. The research findings were presented in two parts: Part I is an analysis of data provided by the assessment instruments and a content analysis of the transcripts of the teacher
Walia, Surinder; Marks-Maran, Di
This article examines the use of action learning sets in a leadership module delivered by a university in south east England. An evaluation research study was undertaking using survey method to evaluate student engagement with action learning sets, and their value, impact and sustainability. Data were collected through a questionnaire with a mix of Likert-style and open-ended questions and qualitative and quantitative data analysis was undertaken. Findings show that engagement in the action learning sets was very high. Action learning sets also had a positive impact on the development of leadership knowledge and skills and are highly valued by participants. It is likely that they would be sustainable as the majority would recommend action learning to colleagues and would consider taking another module that used action learning sets. When compared to existing literature on action learning, this study offers new insights as there is little empirical literature on student engagement with action learning sets and even less on value and sustainability. Copyright © 2014 Elsevier Ltd. All rights reserved.
Dmytro S. Morozov
Full Text Available The research paper outlines the problem of organization collaboration of users group on creation distance learning courses. The article contains analysis of the courses data structure. According to proposed structure the model of developer’s collaboration on creating distance learning courses based on basic principles of source code management was proposed. The article also provides result of research on necessary tools for collaborative development of courses in distance learning platforms. According to the requirements of flexibility and simplicity of access to system for any level educational institutions, technological decisions on granting permissions on performing basic operations on course elements and providing to user moderation’s privileges were proposed.
Norma Esmeralda RODRÍGUEZ RAMÍREZ
Full Text Available This article presents the results and reflections obtained across a research aimed to analyze the quality criteria of an opened learning object oriented to develop communication skills in order to be able to report and validate it according to its content, pedagogic structure, technological structure, graphical and textual language and usability to teacher training, in order to base it theoretically, pedagogically and technologically. The research question was: Which are the quality criteria that a learning object aimed to develop communication skills must cover? Under a quantitative approach, there were electronic questionnaires applied to: 34 Technological University teachers, eight experts about of communicative competence, teaching, technology and graphic design. The results indicated that some of the quality criteria of learning object are: the effective managing of the learning content, the balanced composition of his pedagogic structure, the technological structure efficiency and the proper managing of graphical and textual language.
Thomsen, Jakob Louis Demant; Mathiesen, Ole; Hägi-Pedersen, Daniel; Skovgaard, Lene Theil; Østergaard, Doris; Engbaek, Jens; Gätke, Mona Ring
Muscle relaxants facilitate endotracheal intubation under general anesthesia and improve surgical conditions. Residual neuromuscular blockade occurs when the patient is still partially paralyzed when awakened after surgery. The condition is associated with subjective discomfort and an increased risk of respiratory complications. Use of an objective neuromuscular monitoring device may prevent residual block. Despite this, many anesthetists refrain from using the device. Efforts to increase the use of objective monitoring are time consuming and require the presence of expert personnel. A neuromuscular monitoring e-learning module might support consistent use of neuromuscular monitoring devices. The aim of the study is to assess the effect of a neuromuscular monitoring e-learning module on anesthesia staff's use of objective neuromuscular monitoring and the incidence of residual neuromuscular blockade in surgical patients at 6 Danish teaching hospitals. In this interrupted time series study, we are collecting data repeatedly, in consecutive 3-week periods, before and after the intervention, and we will analyze the effect using segmented regression analysis. Anesthesia departments in the Zealand Region of Denmark are included, and data from all patients receiving a muscle relaxant are collected from the anesthesia information management system MetaVision. We will assess the effect of the module on all levels of potential effect: staff's knowledge and skills, patient care practice, and patient outcomes. The primary outcome is use of neuromuscular monitoring in patients according to the type of muscle relaxant received. Secondary outcomes include last recorded train-of-four value, administration of reversal agents, and time to discharge from the postanesthesia care unit as well as a multiple-choice test to assess knowledge. The e-learning module was developed based on a needs assessment process, including focus group interviews, surveys, and expert opinions. The e-learning
Misnasanti; Dien, C. A.; Azizah, F.
This study is aimed to describe Lesson Study (LS) activity and its roles in the development of mathematics learning instruments based on Learning Trajectory (LT). This study is a narrative study of teacher’s experiences in joining LS activity. Data collecting in this study will use three methods such as observation, documentations, and deep interview. The collected data will be analyzed with Milles and Huberman’s model that consists of reduction, display, and verification. The study result shows that through LS activity, teachers know more about how students think. Teachers also can revise their mathematics learning instrument in the form of lesson plan. It means that LS activity is important to make a better learning instruments and focus on how student learn not on how teacher teach.
Su, C-H.; Cheng, C-H.
This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…
Full Text Available Learning ‘using’ technologies has become a global phenomenon. The Internet is often seen as a value-neutral tool that potentially allows individuals to overcome the constraints of traditional elitist spaces and gain unhindered access to learning. It is widely suggested that online technologies can help address issues of educational equity and social exclusion, and open up democratic and accessible educational opportunities. The national governments and non-governmental agencies who fund educational endeavours in developing countries have advocated the use of new technologies to reduce the cost of reaching and educating large numbers of children and adults who are currently missing out on education. This paper presents an overview of the educational developments in open, distance, and technology-facilitated learning that aim to reach the educationally deprived populations of the world. It reveals the challenges encountered by children and adults in developing countries as they attempt to access available educational opportunities. The discussion questions whether, in face of these challenges, developing nations should continue to invest money, time, and effort into e-learning developments. Can technology-enhanced learning help address the poverty, literacy, social, and political problems in developing countries?
Casey, Debbie; Clark, Liz; Gould, Kathryn
This article describes the experience of one university team in developing, delivering and evaluating an online Nursing and Midwifery Council-approved mentorship programme for nurses and midwives who support pre-registration students in practice. Although the authors are confident of the quality of the educational provision, this article does not discuss this programme as an exemplar of best practice, but aims to share the learning gained from the experience of introducing a digital learning version of a mentorship course.
Sala Ripoll, Cristina; Oparka, Richard; Campbell, Annie; Erolin, Caroline
The use of eLearning resources is becoming increasingly widespread in medical education because of its numerous advantages. They awaken interest in students can be reused without loss of quality and give students added control over their own education by allowing them to review content in their own time. This article describes the development and evaluation of an innovative eLearning animation for the curriculum of the pathology class at the University of Dundee School of Medicine.
Penlington, Roger; Steiner, Simon
This repository of teaching and learning resources is a companion to the 2nd edition of “An Introduction to Sustainable Development in the Engineering Curriculum”, by Roger Penlington and Simon Steiner, originally created by The Higher Education Academy Engineering Subject Centre, Loughborough University. \\ud The purpose of this collection of teaching and learning re-sources is to provide access, with a brief resumé, to materials in curricula reform, recognition awards, and university movemen...
Олександр Іванович Пушкар
Full Text Available The place of the pedagogical scenario in development of the e-learning support system has been defined. The process of student's interaction with the system of e-learning in the form of a proper dialogue has been proposed. Peculiarities of constructing typical models of scenarios of academic disciplines have been analyzed. A technique for quantitative assessment of the relationships between the objects of study in the model of a pedagogical scenario has been offered
Baldiris Navarro, Silvia Margarita; Zervas, Panagiotis; Fabregat Gesa, Ramon; Sampson, Demetrios G.
Inclusive education, namely the process of providing all learners with equal educational opportunities, is a major challenge for many educational systems worldwide. In order to address this issue, a widely used framework has been developed, namely the Universal Design for Learning (UDL), which aims to provide specific educational design guidelines to ensure accessibility of all learner types to the learning environment. On the other hand, nowadays teachers are provided with ample ...
Dambudzo, Ignatius Isaac
The study sought to investigate curriculum issues, teaching and learning for sustainable development in secondary schools in Zimbabwe. Education for sustainable development (ESD) aims at changing the approach to education by integrating principles, values, practices and needs in all forms of learning. Literature has documented the importance of…
Full Text Available The main goal of the current study is to take advantage of advanced numerical and intelligent tools to predict the speed of a vehicle using time series. It is clear that the uncertainty caused by temporal behavior of the driver as well as various external disturbances on the road will affect the vehicle speed, and thus, the vehicle power demands. The prediction of upcoming power demands can be employed by the vehicle powertrain control systems to improve significantly the fuel economy and emission performance. Therefore, it is important to systems design engineers and automotive industrialists to develop efficient numerical tools to overcome the risk of unpredictability associated with the vehicle speed profile on roads. In this study, the authors propose an intelligent tool called evolutionary least learning machine (E-LLM to forecast the vehicle speed sequence. To have a practical evaluation regarding the efficacy of E-LLM, the authors use the driving data collected on the San Francisco urban roads by a private Honda Insight vehicle. The concept of sliding window time series (SWTS analysis is used to prepare the database for the speed forecasting process. To evaluate the performance of the proposed technique, a number of well-known approaches, such as auto regressive (AR method, back-propagation neural network (BPNN, evolutionary extreme learning machine (E-ELM, extreme learning machine (ELM, and radial basis function neural network (RBFNN, are considered. The performances of the rival methods are then compared in terms of the mean square error (MSE, root mean square error (RMSE, mean absolute percentage error (MAPE, median absolute percentage error (MDAPE, and absolute fraction of variances (R2 metrics. Through an exhaustive comparative study, the authors observed that E-LLM is a powerful tool for predicting the vehicle speed profiles. The outcomes of the current study can be of use for the engineers of automotive industry who have been
Cummings, Greta G; Spiers, Judith A; Sharlow, Janice; Germann, Paula; Yurtseven, Ozden; Bhatti, Aslam
In response to increasing recognition of the importance of quality health care work environments, the Alberta Cancer Board initiated a province-wide leadership development program to plan for organizational change through a series of stages. In 2004, the Leadership Development Initiative (LDI) was implemented to facilitate organizational learning using a cohort-based leadership intervention based on a communities of practice framework. The aim of the Worklife Improvement and Leadership Development study was to examine both the outcomes and experiences of participants of the LDI program to better understand leadership development, implementation, and its impact on worklife quality among 5 cohorts of health care managers and staff at the Alberta Cancer Board. This study used both structured survey and interview methods, using a pretest-intervention-posttest quasi-experiment without a control group design, to assess the effects of LDI on worklife of leaders and staff. Surveys included the Leadership Practices Inventory and Areas of Worklife Scale, which looked at meaningfulness of work and organizational engagement. Interviews and focus group data provided a more detailed description of the experience of leadership development and perceptions of organizational worklife. The study revealed layers of information about the complexity of individual and collective leadership in a cohort-based design, perceptions of leadership initiatives, organizational worklife, and planned organizational change. Our findings suggest that early changes in how leaders reflected on their own skills and practices (Leading Self) were positive; however, growing disengagement as the LDI continued was evident in the focus group data, particularly when change in behavior of others was not perceived to be evident. To support the effectiveness and success of a leadership initiative, managers and administrators need to implement strategies designed to help leaders grow and cope with ongoing flux of
Hadar, Irit; Sherman, Sofia; Hazzan, Orit
Collaboration has become increasingly widespread in the software industry as systems have become larger and more complex, adding human complexity to the technological complexity already involved in developing software systems. To deal with this complexity, human-centric software development methods, such as Extreme Programming and other agile…
Prasad, Deepak; Totaram, Rajneel; Usagawa, Tsuyoshi
Textbook costs have skyrocketed in recent years, putting them beyond the reach of many students, but there are options which can mitigate this problem. Open textbooks, an open educational resource, have proven capable of making textbooks affordable to students. There have been few educational development as promising as the development of open…
Boutelle, Kerri N; Bouton, Mark E
Childhood obesity is associated with medical and psychological comorbidities, and interventions targeting overeating could be pragmatic and have a significant impact on weight. Calorically dense foods are easily available, variable, and tasty which allows for effective opportunities to learn to associate behaviors and cues in the environment with food through fundamental conditioning processes, resulting in measurable psychological and physiological food cue reactivity in vulnerable children. Basic research suggests that initial learning is difficult to erase, and that it is vulnerable to a number of phenomena that will allow the original learning to re-emerge after it is suppressed or replaced. These processes may help explain why it may be difficult to change food cue reactivity and overeating over the long term. Extinction theory may be used to develop effective cue-exposure treatments to decrease food cue reactivity through inhibitory learning, although these processes are complex and require an integral understanding of the theory and individual differences. Additionally, learning theory can be used to develop other interventions that may prove to be useful. Through an integration of learning theory, basic and translational research, it may be possible to develop interventions that can decrease the urges to overeat, and improve the weight status of children. Copyright © 2015 Elsevier Ltd. All rights reserved.
Ghent, Darren; Remedios, John
Land surface temperature (LST) is the radiative skin temperature of the land, and is one of the key parameters in the physics of land-surface processes on regional and global scales. Earth Observation satellites provide the opportunity to obtain global coverage of LST approximately every 3 days or less. One such source of satellite retrieved LST has been the Advanced Along-Track Scanning Radiometer (AATSR); with LST retrieval being implemented in the AATSR Instrument Processing Facility in March 2004. Here we present first regional and global time-series of LST data from AATSR with estimates of uncertainty. Mean changes in temperature over the last decade will be discussed along with regional patterns. Although time-series across all three ATSR missions have previously been constructed (Kogler et al., 2012), the use of low resolution auxiliary data in the retrieval algorithm and non-optimal cloud masking resulted in time-series artefacts. As such, considerable ESA supported development has been carried out on the AATSR data to address these concerns. This includes the integration of high resolution auxiliary data into the retrieval algorithm and subsequent generation of coefficients and tuning parameters, plus the development of an improved cloud mask based on the simulation of clear sky conditions from radiance transfer modelling (Ghent et al., in prep.). Any inference on this LST record is though of limited value without the accompaniment of an uncertainty estimate; wherein the Joint Committee for Guides in Metrology quote an uncertainty as "a parameter associated with the result of a measurement that characterizes the dispersion of the values that could reasonably be attributed to the measurand that is the value of the particular quantity to be measured". Furthermore, pixel level uncertainty fields are a mandatory requirement in the on-going preparation of the LST product for the upcoming Sea and Land Surface Temperature (SLSTR) instrument on-board Sentinel-3
Diez, David; Malizia, Alessio; Aedo, Ignacio; Diaz, Paloma; Fernandez, Camino; Dodero, Juan-Manuel
The basic idea of service-oriented learning is that a learning environment should be conceived as a set of independent units of learning packaged as learning services. The design, development and deployment of a learning system based on integrating different learning services needs both a technological platform to support the system as well as a…
Full Text Available Previous work has demonstrated that patterns of social attention hold predictive value for language development in typically developing infants. The goal of this research was to explore how patterns of attention in autistic, language delayed, and typically developing children relate to early word learning and language abilities. We tracked patterns of eye movements to faces and objects while children watched videos of a woman teaching them a series of new words. Subsequent test trials measured participants’ recognition of these novel word-object pairings. Results indicated that greater attention to the speaker’s mouth was related to higher scores on standardized measures of language development for autistic and typically developing children (but not for language delayed children. This effect was mediated by age for typically developing, but not autistic children. When effects of age were controlled for, attention to the mouth among language delayed participants was negatively correlated with standardized measures of language learning. Attention to the speaker’s mouth and eyes while she was teaching the new words was also predictive of faster recognition of the newly learned words among autistic children. These results suggest that language delays among children with autism may be driven in part by aberrant social attention, and that the mechanisms underlying these delays may differ from those in language delayed participants without autism.
Noguchi, Fumiko; Guevara, Jose Roberto; Yorozu, Rika
This handbook identifies principles and policy mechanisms to advance community-based learning for sustainable development based on the commitments endorsed by the participants of the "Kominkan-CLC International Conference on Education for Sustainable Development," which took place in Okayama City, Japan, in October 2014. To inform…
Kjærgaard, Annemette; Meier, Frank; Tangkjær, Christian
In this paper we address the question of what professional practitioner students learn from experiments in leadership development programs. Drawing from our own design and teaching in a leadership programme, we explore how certain models and frameworks become threshold concepts for students’ lear...... practical implications for using threshold concepts in designing experiments in leadership development education for professional practitioners....
Brenner, Michael Yoel
This qualitative case study was designed to explore how participants in an arts-based leadership development program learned to draw on their right brain capabilities in order to develop the creative competencies required to solve complex modern-day problems in new and different ways. The rationale for this study emerges from the researcher's…
Kilic Cakmak, Ebru; Cebi, Ayça; Kan, Adnan
The purpose of the current study is to develop a "social presence scale" for e-learning environments. A systematic approach was followed for developing the scale. The scale was applied to 461 students registered in seven different programs at Gazi University. The sample was split into two subsamples on a random basis (n1 = 261; n2 =…
Akrofi, Solomon; Clarke, Nicholas; Vernon, Guy
Evaluating the returns on intangible assets in general and executive human capital in particular is still a challenging endeavour. One possible means of addressing this challenge involves developing a broad measure of executive learning and development (L&D), encapsulating both the formal and informal activities that closely reflect the dynamic…
Emotional and behavioural barriers to learning and development in the inclusive education classrooms in South Africa: Developing a training programme for teachers. ... The training affected teachers' attitudes, teacher–learner interaction, learner behaviour and school organisation. Conclusion: In-service training for ...
Caspersz, Donella; Olaru, Doina
Developing an emancipatory interest enables individuals to free themselves from the intersubjective or commonly held meanings that dominate their understanding of their current world, and subsequently change their practices. We argue that developing an emancipatory interest is critical in learning to create social change, that is, wanting to…
Backus, Clark; Keegan, Kevin; Gluck, Charles; Gulick, Lisa M. V.
The authors put forward an approach to leadership development that builds on the principle of accelerated learning. They argue that leadership development, particularly in a period of recession or slow economic growth, needs to deliver results more quickly and with fewer resources. Indeed, they raise the question of whether or not this is what is…
Zapalska, Alina; Brozik, Dallas; Rudd, Denis
Educational games and simulations are excellent active learning tools that offer students hands-on experience. Little research is available on developing games and simulations and how teachers can be assisted in making their own games and simulations. In this context, the paper presents a multi-step process of how to develop games and simulations…
Chen, Peiying; Lee, Che-Di; Lin, Hongda; Zhang, Chun-Xi
This research aimed to investigate the key factors of developing effective professional learning communities (PLCs) within the Taiwanese context. Four constructs--supportive and shared leadership, shared visions, collegial trust, and shared practices--were adopted and developed into an instrument for measuring PLC function. A stratified random…
Haefner, Leigh Ann; Zembal-Saul, Carla
This study examined prospective elementary teachers' learning about scientific inquiry in the context of an innovative life science course. Research questions included: (1) What do prospective elementary teachers learn about scientific inquiry within the context of the course? and (2) In what ways do their experiences engaging in science investigations and teaching inquiry-oriented science influence prospective elementary teachers' understanding of science and science learning and teaching? Eleven prospective elementary teachers participated in this qualitative, multi-participant case study. Constant comparative analysis strategies attempted to build abstractions and explanations across participants around the constructs of the study. Findings suggest that engaging in scientific inquiry supported the development more appropriate understandings of science and scientific inquiry, and that prospective teachers became more accepting of approaches to teaching science that encourage children's questions about science phenomena. Implications include careful consideration of learning experiences crafted for prospective elementary teachers to support the development of robust subject matter knowledge.
Sri Huning Anwariningsih
Full Text Available The implementation of information and comunication technology (ICT curriculum at elementary school is the educational sector development. ICT subject is a practical subject which require a direct practice to make easier in the student understanding. Therefore, a teacher is demanded to make a learning media which helps the student to understand the material of study. This research is aimed at describing the model of ICT study in elementary school and using of learning media. Moreover, the description can be bocome one of the basic from the development of interactive study model base on student self learning. Besides, the arraging of this study model is hoped to make habitual and self learning.
The book follows a standard tutorial approach, which will enable readers to use the FuelPHP framework efficiently while developing PHP applications.If you are a PHP developer who is looking to learn more about using the FuelPHP framework for effective PHP development, this book is ideal for you. If you are interested in this book, you should already have a basic understanding of general PHP development.
Chan, Wilfred K.; Clingman, Dan J.; Amitay, Michael
Piezoelectric materials have long been used for active flow control purposes in aerospace applications to increase the effectiveness of aerodynamic surfaces on aircraft, wind turbines, and more. Piezoelectric actuators are an appropriate choice due to their low mass, small dimensions, simplistic design, and frequency response. This investigation involves the development of piezoceramic-based actuators with two bimorphs placed in series. Here, the main desired characteristic was the achievable displacement amplitude at specific driving voltages and frequencies. A parametric study was performed, in which actuators with varying dimensions were fabricated and tested. These devices were actuated with a sinusoidal waveform, resulting in an oscillating platform on which to mount active flow control devices, such as dynamic vortex generators. The main quantification method consisted of driving these devices with different voltages and frequencies to determine their free displacement, blocking force, and frequency response. It was found that resonance frequency increased with shorter and thicker actuators, while free displacement increased with longer and thinner actuators. Integration of the devices into active flow control test modules is noted. In addition to physical testing, a quasi-static analytical model was developed and compared with experimental data, which showed close correlation for both free displacement and blocking force.
Sri Huning Anwariningsih; Sri Ernawati
The implementation of information and comunication technology (ICT) curriculum at elementary school is the educational sector development. ICT subject is a practical subject which require a direct practice to make easier in the student understanding. Therefore, a teacher is demanded to make a learning media which helps the student to understand the material of study. This research is aimed at describing the model of ICT study in elementary school and using of learning media. Moreover, the des...
Auksztol, Jerzy; Przechlewski, Tomasz
There is no doubt that modular design has many advantages, including the most important ones: reusability and cost-effectiveness. In an e-leaming community parlance the modules are determined as Learning Objects (LOs) . An increasing amount of learning objects have been created and published online, several standards has been established and multiple repositories developed for them. For example Cisco Systems, Inc., "recognizes a need to move from creating and delivering large inflexible training courses, to database-driven objects that can be reused, searched, and modified independent of their delivery media" . The learning object paradigm of education resources authoring is promoted mainly to reduce the cost of the content development and to increase its quality. A frequently used metaphor of Learning Objects paradigm compares them to Lego Logs or objects in Object-Oriented program design . However a metaphor is only an abstract idea, which should be turned to something more concrete to be usable. The problem is that many papers on LOs end up solely in metaphors. In our opinion Lego or OO metaphors are gross oversimplificatation of the problem as there is much easier to develop Lego set or design objects in OO program than develop truly interoperable, context-free learning content1.
Stimulating learning motivation refers to transforming potential learning motivation to learning behavior.Motivation is the core of learning process,keeping right and long-lasting power is the premise of English learning.As for present English teaching,teachers often face students lacking learning interests and learning motivation,so how to stimulate and develop these students’learning motivation is a universal prob-lem for many teachers,of course it is a difficult problem.The essay aims at analyzing the classifications of English learning motivation,the influen-tial factors of learning motivation and how to improve English learning motivation from many ways.
Noe, Egon; Langvad, Anne-Mette
Functional differentiation within society at large poses a major challenge to practising sustainable rural development. Multiplication of perspectives on sustainability calls for a theoretical position that is based on the integrity of each of the perspectives in play and for an approach that is ......Functional differentiation within society at large poses a major challenge to practising sustainable rural development. Multiplication of perspectives on sustainability calls for a theoretical position that is based on the integrity of each of the perspectives in play and for an approach...
Larsen, Lasse Juel; Helms, Niels Henrik
of tangible learning media and develop didactic approaches for teachers in primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between......This short paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning. The framework is a research and development project where we have tried to work with new kinds......, embodiment, intelligent contexts, structure and flow. This paper does this through Bachtins concept of “Chronotopos” or how time and space influence and structure experience and learning....
Nelson, Eric E; Lau, Jennifer Y F; Jarcho, Johanna M
The nervous system promotes adaptive responding to myriad environmental stimuli by ascribing emotion to specific stimulus domains. This affects the salience of different stimuli, facilitates learning, and likely involves the amygdala. Recent studies suggest a strong homology between adaptive responses that result from learning and those that emerge during development. As in motivated learning, developmental studies have found the salience of different classes of stimulus (e.g., peers) undergoes marked fluctuation across maturation and may involve differential amygdala engagement. In this review, by highlighting the importance of particular stimulus categories during sensitive periods of development, we suggest that variability in amygdala response to different stimulus domains has an active and functional role in shaping emerging cortical circuits across development. Published by Elsevier Ltd.
Lauridsen, Karen M.; Cozart, Stacey Marie; Kling, Joyce
Uni project (2012-15) recommends that higher education institutions (HEI) provide ‘the necessary professional development and teacher training programmes that will allow HE teachers to appropriately develop (…) their professional and pedagogical knowledge, skills and competences and thereby empower them...... to ensure the quality of their teaching – and their students’ learning – in the multilingual and multicultural learning space’ (www.intluni.eu; Carroll 2015; Leask 2015). For many universities and other HEIs around the world, the multilingual and multicultural classroom is the new – or no longer quite so...... platform with resources targeted at EDs responsible for advancing faculty development in this area. In this session, the presenters will report on the first outcomes of EQUiiP. Participants will then be invited to interact and explore best practices in the multilingual and multicultural learning space...
Caverly, David C.
In the last column, author David Caverly discussed the role of mobile devices (i.e., phones, tablets, laptops) in everyday lives and in academia. In this column, he reviews specific apps for fostering literacy development. Still, he warns that with over 800,000 apps for Apple and Android devices (iOS or Android, respectively) and the Windows…
Overstreet, Michelle; Okiror, Linda; Weber, Margaret J.; McCray, Jacquelyn
The Multicultural Leadership Development Program provided for the exploration into the culture of the individual and others for undergraduates from two different universities. Students reported changes in their perspectives on diversity, leadership, and citizenship and felt these changes could potentially influence awareness and sensitivity in…
Haartsen-Geven, Manon; Sandberg, Jacobijn
Purpose: The purpose of the paper is to provide insight in the critical factors involved in creating an optimum in developing technology for educational innovation, for each stakeholder, in any relevant context and at any time. Design/methodology/approach: From literature review, four diagrams were constructed to contain the critical factors…
Bonesso, Sara; Gerli, Fabrizio; Pizzi, Claudio
Extensive research demonstrated that firms may pursue several advantages in hiring individuals with the set of emotional, social, and cognitive (ESC) competencies that are most critical for business success. Therefore, the role of education for competency development is becoming paramount. Prior studies have questioned the traditional methods, grounded in the lecture format, as a way to effectively develop ESC competencies. Alternatively, they propose experiential learning techniques that involve participants in dedicated courses or activities. Despite the insights provided by these studies, they do not take into account a comprehensive set of learning methods and their combined effect on the individual's competency portfolio within educational programs that aim to transfer primarily professional skills. Our study aims to fill these gaps by investigating the impact of the interplay between different learning methods on ESC competencies through a sample of students enrolled in the first year of a master's degree program. After providing a classification of three learning methods [traditional learning (TL), individual experiential learning (IEL), and social experiential learning (SEL)], the study delves into their combined influence on ESC competencies, adopting the Artificial Neural Network. Contrary to prior studies, our results provide counterintuitive evidence, suggesting that TL needs to be implemented together, on the one hand, with IEL to achieve a significant effect on emotional competencies and, on the other hand, with SEL to have an impact on social competencies. Moreover, IEL plays a prominent role in stimulating cognitive competencies. Our research contributes to educational literature by providing new insights on the effective combination of learning methods that can be adopted into programs that transfer technical knowledge and skills to promote behavioral competencies.
This book provides a step by step approach that explains the most important extension components and their features. All the major features are explained by using the JobHub application with supporting screenshots.If you are an intermediate to advanced level user (or developer) who already has a basic working knowledge of PrimeFaces, then this book is for you.The only thing you need to know is Java Server Faces(JSF).
Sustainable development requires learning, but the contents of learning are often complex and ambiguous. This requires new integrated approaches from research. It is argued that investigation of people's learning challenges in every-day work is beneficial for research on sustainable development. The aim of the paper is to describe a research method for examining learning challenges in promoting sustainable development. This method is illustrated with a case example from organic vegetable farming in Finland. The method, based on Activity Theory, combines historical analysis with qualitative analysis of need expressions in discourse data. The method linking local and subjective need expressions with general historical analysis is a promising way to overcome the gap between the individual and society, so much needed in research for sustainable development. Dialectically informed historical frameworks have practical value as tools in collaborative negotiations and participatory designs for sustainable development. The simultaneous use of systemic and subjective perspectives allows researchers to manage the complexity of practical work activities and to avoid too simplistic presumptions about sustainable development.
Siegismund, Daniel; Tolkachev, Vasily; Heyse, Stephan; Sick, Beate; Duerr, Oliver; Steigele, Stephan
Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning. A typical example is the automated analysis of images which are typically produced en-masse in many domains, e. g., in high-content screening or digital pathology. Deep learning enables to create competitive applications in so-far defined core domains of 'human intelligence'. Applications of artificial intelligence have been enabled in recent years by (i) the massive availability of data samples, collected in pharma driven drug programs (='big data') as well as (ii) deep learning algorithmic advancements and (iii) increase in compute power. Such applications are based on software frameworks with specific strengths and weaknesses. Here, we introduce typical applications and underlying frameworks for deep learning with a set of practical criteria for developing production ready solutions in life science and pharma research. Based on our own experience in successfully developing deep learning applications we provide suggestions and a baseline for selecting the most suited frameworks for a future-proof and cost-effective development. © Georg Thieme Verlag KG Stuttgart · New York.
Pannimpullath R. Renosh
Full Text Available Hydro-sedimentary numerical models have been widely employed to derive suspended particulate matter (SPM concentrations in coastal and estuarine waters. These hydro-sedimentary models are computationally and technically expensive in nature. Here we have used a computationally less-expensive, well-established methodology of self-organizing maps (SOMs along with a hidden Markov model (HMM to derive profiles of suspended particulate inorganic matter (SPIM. The concept of the proposed work is to benefit from all available data sets through the use of fusion methods and machine learning approaches that are able to process a growing amount of available data. This approach is applied to two different data sets entitled “Hidden” and “Observable”. The hidden data are composed of 15 months (27 September 2007 to 30 December 2008 of hourly SPIM profiles extracted from the Regional Ocean Modeling System (ROMS. The observable data include forcing parameter variables such as significant wave heights ( H s and H s 50 (50 days from the Wavewatch 3-HOMERE database and barotropic currents ( U b a r and V b a r from the Iberian–Biscay–Irish (IBI reanalysis data. These observable data integrate hourly surface samples from 1 February 2002 to 31 December 2012. The time-series profiles of the SPIM have been derived from four different stations in the English Channel by considering 15 months of output hidden data from the ROMS as a statistical representation of the ocean for ≈11 years. The derived SPIM profiles clearly show seasonal and tidal fluctuations in accordance with the parent numerical model output. The surface SPIM concentrations of the derived model have been validated with satellite remote sensing data. The time series of the modeled SPIM and satellite-derived SPIM show similar seasonal fluctuations. The ranges of concentrations for the four stations are also in good agreement with the corresponding satellite data. The high accuracy of the
Maldonado, G. I.; Christenson, J.; Spitz, H.; Rutz, E.; Todd, A.
This article summarizes a few lessons learned in our early experiences in developing, delivering and implementing a series of distance learning classes for full-time undergraduate students enrolled in the combined-degree BS Mechanical + MS Nuclear Engineering 5-year and co-op based 'MNE- ACCEND' program at the Univ. of Cincinnati. This program is in its third year since inception and currently hosts approximately 35 undergraduate students enrolled in the graduating classes of 2008, 2009, and 2010, which is when these students are expected to complete their BS Mechanical and MS Nuclear Engineering degrees. In addition, 20+ newly confirmed students are expected to enter this program in the fall quarter of 2006 to become our Class of 2011. Therefore, the successful 'follow through' of the DL component of this program continues to be increasingly crucial as this student pipeline reaches a targeted steady-state of about 10 to 15 graduates per class. (authors)
Rice, Emily L.; Schwamb, M. E.; Muna, D.
We have established an innovative public outreach event series called Astronomy on Tap. The venues, format, timing, and content of the events aim to bring science to the public in an informal, engaging, creative way and to reach a larger, more diverse audience than typical public science lectures at academic and cultural institutions. Each event is held on a weekday evening at a bar and features several short astronomy-related presentations, usually electronic slides with other media formats encouraged. The presenters are typically early-career scientists (grad students, postdocs and new faculty) and occasionally educators, writers, and artists with experience relevant to astronomy. The informal and interactive environment is encouraged by allowing ample time for questions and conversations between presenters and the audience before, during, and after presentations. We also have a designated host who provides introductions, interludes, games, prizes, and give aways. The events serve as professional development by providing opportunities for early-career scientists to practice communication and presentation skills in a decidedly non-academic environment. We have successfully held over ten events in three cities in 2012-2013 and received extremely positive feedback from presenters, attendees, and venue staff. We present key practical considerations for hosting a similar event and share initial evaluation results collected at events in October 2013.
Smith, Montserrat Rabago; McAllister, Robert; Newkirk, Kiera; Basing, Alexander; Wang, Lihua
An interdisciplinary approach to education has become more important in the development of science and technology, which requires universities to have graduates with broad knowledge and skills and to apply these skills in solving real-world problems. An interdisciplinary experimental series has been developed for the laboratories in cell and…
Whiten, Andrew; van de Waal, Erica
In recent decades, an accelerating research effort has exploited a substantial diversity of methodologies to garner mounting evidence for social learning and culture in many species of primate. As in humans, the evidence suggests that the juvenile phases of non-human primates' lives represent a period of particular intensity in adaptive learning from others, yet the relevant research remains scattered in the literature. Accordingly, we here offer what we believe to be the first substantial collation and review of this body of work and its implications for the lifetime behavioral ecology of primates. We divide our analysis into three main phases: a first phase of learning focused on primary attachment figures, typically the mother; a second phase of selective learning from a widening array of group members, including some with expertise that the primary figures may lack; and a third phase following later dispersal, when a migrant individual encounters new ecological and social circumstances about which the existing residents possess expertise that can be learned from. Collating a diversity of discoveries about this lifetime process leads us to conclude that social learning pervades primate ontogenetic development, importantly shaping locally adaptive knowledge and skills that span multiple aspects of the behavioral repertoire.
Mather, Carey; Cummings, Elizabeth
Digital technology provides opportunities for using mobile learning strategies in healthcare environments. To realise the vision of the National Workforce Development Strategy there needs to be innovation of health professionals to further develop knowledge and skills of clinical supervisors to access and gain an understanding of the value of mobile learning at the workplace. The use of digital technology by clinical supervisors was explored in 2012 as part of a teaching development grant to evaluate the use of Web 2.0 technology to develop a community of practice about clinical supervision. Prior to developing the virtual network of clinical supervisors, feedback about the use of Web 2.0 technology by clinicians was sought via an online survey. Over 90% of respondents used social media, 85% understood what a blog and wiki were and approximately half of the respondents used smart phones. More than one-third indicated they would participate in a virtual community of practice and would like to receive information about clinical facilitation at least once per week. Findings indicate both inhibitors and opportunities for workforce development within healthcare environments that need to be addressed. Support of graduate-ready nurses can be achieved through an integrated outlook that enables health professionals within organisations to undertake mobile learning in situ. A flexible and collaborative approach to continuing professional development within organisations could enhance practice development and could positively impact on workforce development.
Revolutionary advancements have been observed in e-learning technologies though an amalgamated evaluation methodology for new generation e-learning content development tools is not available. The evaluation of educational software for online use must consider its usability and as well as its pedagogic effectiveness. This study is a first step…
Eriksen, Kristin Ådnøy; Dahl, Hellen; Karlsson, Bengt; Arman, Maria
Practical wisdom, understood as knowing how to be or act in any present situation with clients, is believed to be an essential part of the knowledge needed to be a professional mental health worker. Exploring processes of adapting, extending knowledge and refining tacit knowledge grounded in mental health workers' experiences with being in practice may bring awareness of how mental health workers reflect, learn and practice professional 'artistry'. The aim of the article was to explore mental health workers' processes of development and learning as they appeared in focus groups intended to develop practical wisdom. The main research question was 'How might the processes of development and learning contribute to developing practical wisdom in the individual as well as in the practice culture?' The design was multi-stage focus groups, and the same participants met four times. A phenomenological hermeneutical method for researching lived experience guided the analysis. Eight experienced mental health workers representing four Norwegian municipalities participated. The research context was community-based mental health services. The study was reported to Norwegian Social Data Services, and procedures for informed consent were followed. Two examples of processes of re-evaluation of experience (Association, Integration, Validation, Appropriation and Outcomes and action) were explored. The health workers had developed knowledge in previous encounters with clients. In sharing practice experiences, this knowledge was expressed and developed, and also tested and validated against the aims of practice. Discussions led to adapted and extended knowledge, and as tacit knowledge was expressed it could be used actively. Learning to reflect, being ready to be provoked and learning to endure indecisiveness may be foundational in developing practical wisdom. Openness is demanding, and changing habits of mind is difficult. Reflection on, and confrontation with, set practices are
Shek, Daniel T L; Chan, Stephen C F
To help university teachers to understand Service-Learning and develop Service-Learning subjects, a 3-h+ e-learning package was developed at The Hong Kong Polytechnic University (PolyU). There are seven units in this e-learning package: introduction session (Unit 1), what is Service-Learning? (Unit 2), impact and benefits of Service-Learning (Unit 3), myths and positive attitudes toward Service-Learning (Unit 4), developing a Service-Learning subject at PolyU (Unit 5), self-reflection about Service-Learning (Unit 6), and concluding session (Unit 7). To understand the views of the users on the e-learning package, the package was offered before formal launching. For the first offering, three focus group sessions were held. Results showed that the users were satisfied with the structural arrangement of the e-learning package and agreed that the e-learning package was useful for them to understand more about Service-Learning. For the second offering, colleagues were generally satisfied with the e-learning package and demonstrated gain in knowledge on Service-Learning. Suggestions for improvement were noted.
Liang, Li-Ping; Huang, Jie; Fulton, Ruth; Pearson-Smith, Jennifer N.; Day, Brian J.; Patel, Manisha
Reactive oxygen species are a well-defined therapeutic target for Parkinson's disease (PD) and pharmacological agents that catalytically scavenge reactive species are promising neuroprotective strategies for treatment. Metalloporphyrins are synthetic catalytic antioxidants that mimic the body's own antioxidant enzymes i.e. superoxide dismutases and catalase. The goal of this study was to determine if newly designed metalloporphyrins have enhanced pharmacodynamics including oral bioavailability, longer plasma elimination half-lives, penetrate the blood brain barrier, and show promise for PD treatment. Three metalloporphyrins (AEOL 11216, AEOL 11203 and AEOL 11114) were identified in this study as potential candidates for further pre-clinical development. Each of these compounds demonstrated blood brain barrier permeability by the i.p. route and two of three compounds (AEOL 11203 and AEOL 11114) were orally bioavailable. All of these compounds protected against 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced neurotoxicity, including dopamine depletion in the striatum, dopaminergic neuronal loss in the substantial nigra, and increased oxidative/nitrative stress indices (glutathione disulfide and 3-nitrotyrosine) in the ventral midbrain of the mice without inhibiting MPTP metabolism. Daily therapeutic dosing of these metalloporphyrins were well tolerated without accumulation of brain manganese levels or behavioral alterations assessed by open field and rotarod tests. The study identified two orally active metalloporphyrins and one injectable metalloporphyrin as clinical candidates for further development in PD. - Highlights: • A series of metalloporphyrins were optimized in a mouse model of parkinsonism. • Two novel orally active, brain permeable antioxidant metalloporphyrins were identified. • The identified metalloporphyrins were well tolerated.
Liang, Li-Ping [Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO (United States); Huang, Jie [Department of Medicine, National Jewish Health, Denver, CO (United States); Fulton, Ruth; Pearson-Smith, Jennifer N. [Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO (United States); Day, Brian J. [Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO (United States); Department of Medicine, National Jewish Health, Denver, CO (United States); Patel, Manisha, E-mail: firstname.lastname@example.org [Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO (United States)
Reactive oxygen species are a well-defined therapeutic target for Parkinson's disease (PD) and pharmacological agents that catalytically scavenge reactive species are promising neuroprotective strategies for treatment. Metalloporphyrins are synthetic catalytic antioxidants that mimic the body's own antioxidant enzymes i.e. superoxide dismutases and catalase. The goal of this study was to determine if newly designed metalloporphyrins have enhanced pharmacodynamics including oral bioavailability, longer plasma elimination half-lives, penetrate the blood brain barrier, and show promise for PD treatment. Three metalloporphyrins (AEOL 11216, AEOL 11203 and AEOL 11114) were identified in this study as potential candidates for further pre-clinical development. Each of these compounds demonstrated blood brain barrier permeability by the i.p. route and two of three compounds (AEOL 11203 and AEOL 11114) were orally bioavailable. All of these compounds protected against 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced neurotoxicity, including dopamine depletion in the striatum, dopaminergic neuronal loss in the substantial nigra, and increased oxidative/nitrative stress indices (glutathione disulfide and 3-nitrotyrosine) in the ventral midbrain of the mice without inhibiting MPTP metabolism. Daily therapeutic dosing of these metalloporphyrins were well tolerated without accumulation of brain manganese levels or behavioral alterations assessed by open field and rotarod tests. The study identified two orally active metalloporphyrins and one injectable metalloporphyrin as clinical candidates for further development in PD. - Highlights: • A series of metalloporphyrins were optimized in a mouse model of parkinsonism. • Two novel orally active, brain permeable antioxidant metalloporphyrins were identified. • The identified metalloporphyrins were well tolerated.
Besnard, S.; Carvalhais, N.; Clevers, J.; Dutrieux, L.; Gans, F.; Herold, M.; Reichstein, M.; Jung, M.
Forests play a crucial role in the global carbon (C) cycle, covering about 30% of the planet's terrestrial surface, accounting for 50% of plant productivity, and storing 45% of all terrestrial C. As such, forest disturbances affect the balance of terrestrial C dioxide (CO 2 ) exchange, with the potential of releasing large amounts of C into the atmosphere. Understanding and quantifying the effect of forest disturbance on terrestrial C metabolism is critical for improving forest C balance estimates and predictions. Here we combine remote sensing, climate, and eddy-covariance (EC) data to study forest land surface-atmosphere C fluxes at more than 180 sites globally. We aim to enhance understanding of C balance in forest ecosystems by capturing the ecological carry-over effect of disturbance historyon C fluxes. Our objectives are to (1) characterize forest disturbance history through the full temporal depth of the Landsat time series (LTS); and (2) to investigate lag and carry-over effects of forest dynamics and climate on ecosystem C fluxes using a data-driven recurrent neural network(RNN). The resulting data-driven model integrates carry-over effects of the system, using LTS, ecosystem productivity, and several abiotic factors. In this study, we show that our RNN algorithm is able to effectively calculate realistic seasonal, interannual, and across-site C flux variabilities based on EC, LTS, and climate data. In addition, our results demonstrate that a deep learning approach with embedded dynamic memory effects offorest dynamics is able to better capture lag and carry-over effects due to soil-vegetation feedback compared to a classic approach considering only the current condition of the ecosystem. Our study paves the way to produce accurate, high resolution carbon fluxes maps, providing morecomprehensive monitoring, mapping, and reporting of the carbon consequences of forest change globally.
Coch, Donna, Ed.; Fischer, Kurt W., Ed.; Dawson, Geraldine, Ed.
This volume brings together leading authorities from multiple disciplines to examine the relationship between brain development and behavior in typically developing children. Presented are innovative cross-sectional and longitudinal studies that shed light on brain-behavior connections in infancy and toddlerhood through adolescence. Chapters…
This study aims to develop the core mechanism for realizing the development of personalized adaptive e-learning platform, which is based on the previous learning effort curve research and takes into account the learner characteristics of learning style and self-efficacy. 125 university students from Taiwan are classified into 16 groups according…
Ote, Leonardo M.; De Jesus, Agnes C.
The Mt. Apo geothermal project, a critical component of the Philippine energy program met stiff opposition from 1988-1991. Seemingly unresolvable legal, environmental and cultural issues between the government developer, the Philippine National Oil Company-Energy Development Corporation (PNOC-EDC) and various affected sectors delayed the project for two years. The paper discusses the efforts undertaken by the developer to resolve these conflicts through a series of initiatives that transformed the project into a legally, environmentally and socially acceptable project. Lastly, the PNOC-EDC experience has evolved a new set of procedures for the environmental evaluation of development project in the Philippines. (author)
Full Text Available Introduction. Lifelong learning (LLL is an intentional learning that people engage in throughout their lives for personal and professional fulfillment and to improve the quality of their lives. Develop the capability for lifelong learning in Higher Education is important to facilitate the incorporation of new graduates to work. To this end, we have designed a program on "Lifelong learning competencies for Higher Education students', which we have applied to students at University of San Diego, California, USA and to the University of Distance Education, Spain. Methodology. We have presented the program by means a workshop where the debate and the reflection played one important strategy. To check the program’s achievements we used mixed methodologies, according to the evaluative research. We applied one questionnaire, and together to a practice and the students' personal portfolio, they enabled us to assess the program effectiveness, satisfaction and impact. Results. The comparison of the answers in the questionnaire, before and after of the workshops sing that students improved in their knowledge and awareness about the importance of LLL and key competencies for their profession development plan. Discussion. The program contributes to improve key competencies and commitment to learning throughout the people’s lives.
Delagran, Louise; Vihstadt, Corrie; Evans, Roni
Online educational interventions to teach evidence-based practice (EBP) are a promising mechanism for overcoming some of the barriers to incorporating research into practice. However, attention must be paid to aligning strategies with adult learning theories to achieve optimal outcomes. We describe the development of a series of short self-study modules, each covering a small set of learning objectives. Our approach, informed by design-based research (DBR), involved 6 phases: analysis, design, design evaluation, redesign, development/implementation, and evaluation. Participants were faculty and students in 3 health programs at a complementary and integrative educational institution. We chose a reusable learning object approach that allowed us to apply 4 main learning theories: events of instruction, cognitive load, dual processing, and ARCS (attention, relevance, confidence, satisfaction). A formative design evaluation suggested that the identified theories and instructional approaches were likely to facilitate learning and motivation. Summative evaluation was based on a student survey (N=116) that addressed how these theories supported learning. Results suggest that, overall, the selected theories helped students learn. The DBR approach allowed us to evaluate the specific intervention and theories for general applicability. This process also helped us define and document the intervention at a level of detail that covers almost all the proposed Guideline for Reporting Evidence-based practice Educational intervention and Teaching (GREET) items. This thorough description will facilitate the interpretation of future research and implementation of the intervention. Our approach can also serve as a model for others considering online EBP intervention development.
Relates aspects of the didactic tradition, especially the German didactic tradition, to the theory and practice of instructional design. Focuses on processes that are necessary to the modeling of reality and describes the design and development of a virtual enterprise as a complex teaching-learning environment in a German business school.…
Kim, Minsung; Bednarz, Robert
This study developed an interview-based critical spatial thinking oral test and used the test to investigate the effects of Geographic Information System (GIS) learning on three components of critical spatial thinking: evaluating data reliability, exercising spatial reasoning, and assessing problem-solving validity. Thirty-two students at a large…
Roberts, Dennis C.; Komives, Susan R.
Following chapters that have offered examples and tools relevant to higher education institutions that wish to enhance student learning and development, this chapter summarizes and extends the conversation of how true partnerships in international higher education can be cultivated to achieve the deepest impact.
Walsh, Bridget A.; Sanchez, Claudia; Lee, Angela M.; Casillas, Nicole; Hansen, Caitlynn
This exploratory study investigated the use of concepts related to families, parents, and the home in 51 state-level early learning and development standards documents. Guidelines from six national family involvement, engagement, and school-partnership models were used to create the Family Involvement Models Analysis Chart (FIMAC), which served as…
McLaughlin, Milbrey; London, Rebecca A.
A societal sector perspective looks to a broad array of actors and agencies responsible for creating the community contexts that affect youth learning and development. We demonstrate the efficacy of this perspective by describing the Youth Data Archive, which allows community partners to define issues affecting youth that transcend specific…
Lin, Yii-Nii; Lai, Pi-Hui; Chiu, Yi-Hsing Claire; Hsieh, Hui-Hsing; Chen, Yueh-Hua
This study described the relations of experiential learning and psychosocial development of Taiwanese university students through the qualitative method of phenomenology. Thirty-six students, age ranged from 19 to 25 years, from three research-oriented universities in northern Taiwan were interviewed. Seven themes were delineated: (1) discovering…
Concerns that the African child is being tailored to be a "global child," alongside other homogenizing and dominating projections, such as early learning and development standards (ELDS), have increased. African communities need to be assured that global standards and global indicators will not further homogenize nations and thereby risk…
Navarro, Silvia Baldiris; Zervas, Panagiotis; Gesa, Ramon Fabregat; Sampson, Demetrios G.
Inclusive education, namely the process of providing all learners with equal educational opportunities, is a major challenge for many educational systems worldwide. In order to address this issue, a widely used framework has been developed, namely the Universal Design for Learning (UDL), which aims to provide specific educational design guidelines…
Sessa, Valerie I; Alonso, Nicole; Farago, Pamela; Schettino, Gaynell; Tacchi, Kelcie; Bragger, Jennifer D
This chapter describes theory and research demonstrating that the experiences students have within student organizations, and the people with whom they interact within those organizations, are powerful triggers for leader learning and development. © 2017 Wiley Periodicals, Inc., A Wiley Company.
Afacan, Senol; Cilden, Seyda
This study was conducted for the purpose of developing a valid and reliable learning strategies scale for students receiving violin education in Departments of Music at Fine Arts High Schools. The scale was applied to 391 violin students receiving education in the 11th and 12th grades in Departments of Music at Fine Arts High Schools in the…
Qasem, Arwa Ahmed Abdo; Viswanathappa, G.
Integrating Information and Communication Technology (ICT) into teaching and learning is a growing area that has attracted many educators' attention in recent years. Teachers need to be involved in collaborative projects and development of intervention change strategies, which include teaching partnerships with ICT as a tool. Teacher perceptions…
Sanderson, Bonnie K; Carter, Matt; Schuessler, Jenny B
Demonstrating scholarly competency is an expectation for nurse faculty. However, there is hesitancy among some faculty to fully engage in scholarly activities. To strengthen a school of nursing's culture of scholarship, a faculty development writing initiative based on Social Learning Theory was implemented. The authors discuss this initiative to facilitate writing for publication productivity among faculty and the successful outcomes.
Purpose: This paper aims to argue that the process of making an original game develops digital literacy skills and provides an authentic learning experience as students create, publish and deploy interactive games. Teaching students to create computer games has become common in both K-12 and tertiary education to introducing programming concepts,…
Townsend, Peter; Regan, Padraic; Li, Liang Liang
Purpose: The purpose of this paper is to evaluate cultural experience as a learning strategy for developing international managers. Design/methodology/approach: Using an integrated framework, two quantitative studies, based on empirical methodology, are conducted. Study 1, with an undergraduate sample situated in the Asia Pacific, aimed to examine…
Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus
This paper presents results from the continuous process of developing an evaluation framework of quality indicators for learning analytics (LA). Building on a previous study, a group concept mapping approach that uses multidimensional scaling and hierarchical clustering, the study presented here
Hadi, Rizali; Supriyanto; Hasanah, Mahmudah
This study aims to describe the learning medium of economic education at senior High School in Banjarmasin with media based on local wisdom. This research uses qualitative method as developed by Miles & Huberman, starting from data collection, data reduction data display, and then made conclusion. Data were collected in the order of Basic…
Johnson, Scott D.; Bozeman, Marci
This essay presents the findings of a study employing a developmental approach to student acquisition of social responsibility. Professors at seven collegiate institutions of differing types who teach service-learning courses were asked if they would be willing to include their students in a study of social responsibility development through…
The RAGE project (Realising an Applied Gaming Ecosystem, http://rageproject.eu/) is an ongoing initiative that aims to offer an ecosystem to support serious games’ development and use. Its two main objectives are to provide technologies for computer game-based pedagogy and learning and to establish
Verschoor, Stephan Alexander
By using innovative paradigms, the present thesis provides convincing evidence that action-effect learning, and sensorimotor processes in general play a crucial role in the development of action- perception and production in infancy. This finding was further generalized to sequential action.
Becker, Karen; Bish, Adelle
Purpose: Many organisations are reconsidering their investment in formal education and training, in favour of more informal approaches to learning such as mentoring, temporary assignments, stretch assignments, and job rotation. The purpose of this paper is to explore the ways in which managers have developed capabilities for their roles thus far…
Objective: The interaction between teachers, classroom strategies and learners experiencing emotional and behavioural barriers to learning and development in a system of inclusive education results in multiple dynamics on different levels. Many teachers in mainstream education lack training to deal with learners ...
Nenden Octavarulia Shanty
Full Text Available This research aimed at investigating students’ development of learning integer concept and integer addition. The investigation was based on analyzing students’ works in solving the given mathematical problems in each instructional activity designed based on Realistic Mathematics Education (RME levels. Design research was chosen to achieve and to contribute in developing a local instruction theory for teaching and learning of integer concept and integer addition. In design research, the Hypothetical Learning Trajectory (HLT plays important role as a design and research instrument. It was designed in the phase of preliminary design and tested to three students of grade six OASIS International School, Ankara – Turkey. The result of the experiments showed that temperature in the thermometer context could stimulate students’ informal knowledge of integer concept. Furthermore, strategies and tools used by the students in comparing and relating two temperatures were gradually be developed into a more formal mathematics. The representation of line inside thermometer which then called the number line could bring the students to the last activity levels, namely rules for adding integer, and became the model for more formal reasoning. Based on these findings, it can be concluded that students’ learning integer concept and integer addition developed through RME levels.Keywords: integer concept, integer addition, Realistic Mathematics Education DOI: http://dx.doi.org/10.22342/jme.7.2.3538.57-72
Fraser, Christine A.
This article explores the effects of continuing professional development (CPD) on teachers' and pupils' experiences of learning and teaching science in primary classrooms. During 2006-2007, quantitative and qualitative data were elicited from two primary teachers in Scotland using questionnaires, semi-structured interviews and video-stimulated…
Homosexuality and homophobia are rarely discussed in schools, yet they are relevant in motor-development and motor-learning settings because people hold gender-stereotyped beliefs about movement and about lesbian, gay, bisexual, or transgendered individuals. This article addresses homophobia and related stereotypes in physical education settings…
Choosing toys and activities that are suitable for infants and toddlers can challenge even the most experienced teacher. By being mindful of the basic principles of child development and the role of play, teachers can intentionally select toys to meet young children's unique needs and interests, supporting learning. It is also important to be…
Plate, Rista C.; Fulvio, Jacqueline M.; Shutts, Kristin; Green, C. Shawn; Pollak, Seth D.
Individuals track probabilities, such as associations between events in their environments, but less is known about the degree to which experience--within a learning session and over development--influences people's use of incoming probabilistic information to guide behavior in real time. In two experiments, children (4-11 years) and adults…
Folorunso, Olusegun; Akinwale, AdioTaofeek
Purpose: In tertiary institution, some students find it hard to learn database design theory, in particular, database normalization. The purpose of this paper is to develop a visualization tool to give students an interactive hands-on experience in database normalization process. Design/methodology/approach: The model-view-controller architecture…
Armour, Kathleen M.; Makopoulou, Kyriaki
This paper reports findings from an evaluation of a national continuing professional development (CPD) programme for teachers in England. Data showed that the localised implementation, opportunities for interactive learning, and "collective participation" were positive factors. Research participants reported difficulties, however, in…
Mentoring can be seen as relevant if not essential in the continuing professional development of entrepreneurs. In the present study, we seek to understand how to maximize the learning that occurs through the mentoring process. To achieve this, we consider various elements that the literature suggested are associated with successful mentoring and…
Professional development (PD) is seen by a broad cross-section of stakeholders--teachers, principals, policymakers--as essential for instructional improvement and student learning. And yet, despite deep investments of time and money in its design and implementation, the return on investment and subjective assessments about PD's effectiveness…
Brodahl, Cornelia; Oftedahl, Heidi
This study investigated outsourcing of the development of visual, animated and interactive learning objects for mathematics education by a Norwegian university to software vendors in China. It sought to understand the challenges in this outsourcing engagement and competences needed to meet the challenges. The authors tested outsourcing strategies…
Bitter-Rijpkema, Marlies; Pannekeet, Kees; Rutjens, Marjo
Bitter-Rijpkema, M., Pannekeet, K., & Rutjens, M. (2009). Recommendations for e-learning in New Product Development teams. In S. Hambach, A. Martens, D. Tavangarian & B. Urban (Eds.), Proceedings of the 2nd International eLBa Science Conference (pp. 135-145). June, 17-19, 2009, Rostock, Germany:
Toledo-Sherman, Leticia M; Prime, Michael E; Mrzljak, Ladislav; Beconi, Maria G; Beresford, Alan; Brookfield, Frederick A; Brown, Christopher J; Cardaun, Isabell; Courtney, Stephen M; Dijkman, Ulrike; Hamelin-Flegg, Estelle; Johnson, Peter D; Kempf, Valerie; Lyons, Kathy; Matthews, Kimberly; Mitchell, William L; O'Connell, Catherine; Pena, Paula; Powell, Kendall; Rassoulpour, Arash; Reed, Laura; Reindl, Wolfgang; Selvaratnam, Suganathan; Friley, Weslyn Ward; Weddell, Derek A; Went, Naomi E; Wheelan, Patricia; Winkler, Christin; Winkler, Dirk; Wityak, John; Yarnold, Christopher J; Yates, Dawn; Munoz-Sanjuan, Ignacio; Dominguez, Celia
We report on the development of a series of pyrimidine carboxylic acids that are potent and selective inhibitors of kynurenine monooxygenase and competitive for kynurenine. We describe the SAR for this novel series and report on their inhibition of KMO activity in biochemical and cellular assays and their selectivity against other kynurenine pathway enzymes. We describe the optimization process that led to the identification of a program lead compound with a suitable ADME/PK profile for therapeutic development. We demonstrate that systemic inhibition of KMO in vivo with this lead compound provides pharmacodynamic evidence for modulation of kynurenine pathway metabolites both in the periphery and in the central nervous system.
Thomas, Partono; Nurkhin, Ahmad
Improving the learning process is very important for every lecturer by implement innovative learning methods or media. The purpose of this study is to develop a research methodology learning instruction and module based of problem based learning for accounting education students. This research applied research and development design in the research methodology course in Economics Education (Accounting) Department, Faculty Of Economics, Semarang State University. Data analysis was used to test...
Nowadays, more and more Children English Training organization developed, all the parents and teachers also want to improve the children's English. So the parents will find the organization where the teachers are better in teaching. They will motive a lot of imagine and acquire many information which you can not know. If we can care more about this point from the children, may be it also can help children to learn English well. This essay aims at how does classroom Layout influence the children to learn English well and let the children love this environment.
Full Text Available This paper presents a programming education support method based on Agile Development that encourages and builds on communication between students. Through mutual discussion, students using our approach transform their ideas into software and cooperate to write a program. The students complete the software through repetition and programming. Before completing the software program, the students learn to solve problems by working together. The students are encouraged to think and share ideas, and gain experience writing software. With this approach, students not only learn how to write programs, but also increase their logical thinking, problem-solving, and communication skills.
Hickey, Kathleen T; Johnson, Mary P; Biviano, Angelo; Aboelela, Sally; Thomas, Tami; Bakken, Suzanne; Garan, Hasan; Zimmerman, John L; Whang, William
The objective of this study was to design a Web-based implantable cardioverter defibrillator (ICD) module that would allow greater access to learning which could occur at an individual's convenience outside the fast-paced clinical environment. A Web-based ICD software educational program was developed to provide general knowledge of the function of the ICD and the interpretation of the stored electrocardiograms. This learning tool could be accessed at any time via the Columbia University Internet server, using a unique, password protected login. A series of basic and advanced ICD terms were presented using actual ICD screenshots and videos that simulated scenarios the practitioner would most commonly encounter in the fast-paced clinical setting. To determine the usefulness of the site and improve the module, practitioners were asked to complete a brief (less than 5 min) online survey at the end of the module. Twenty-six practitioners have logged into our Web site: 20 nurses/nurse practitioners, four cardiac fellows, and two other practitioners. The majority of respondents rated the program as easy to use and useful. The success of this module has led to it becoming part of the training for student nurse practitioners before a clinical electrophysiology rotation, and the module is accessed by our cardiac entry level fellows before a rotation in the intensive care unit or electrophysiology service. Remote electronic arrhythmia learning is a successful example of the melding of technology and education to enhance clinical learning.
Delisle, Megan; Seguin, Jade; Zeilinski, David; Moore, Dorothy L
To provide an insight into the presentation, diagnosis and management of paediatric abdominal tuberculosis (TB) in developed countries. The records of all children at the Montreal Children's Hospital (MCH) admitted with abdominal TB between 1990 and 2014 were reviewed. An automated and manual literature search from 1946 to 2014 was performed. (1) CASE SERIES: six cases were identified at the MCH. All were male between 5 and 17 years of age. All were from populations known to have high rates of TB (aboriginal, immigrant). Three underwent major surgical interventions and three underwent ultrasound (US) or CT aspiration or biopsy for diagnosis. (2) LITERATURE REVIEW: 29 male (64%) and 16 female subjects (36%) aged between 14 months and 18 years were identified, including the MCH patients. All patients except one were from populations with a high incidence of TB. Most presented with a positive tuberculin skin test (90%), abdominal pain (76%), fever (71%) and weight loss (68%). On imaging, 22 (49%) were classified with gastrointestinal TB with colonic wall irregularity (41%) and 19 (42%) with peritoneal TB with ascites (68%). A positive culture was obtained in 33 (73%) patients. Three cases used CT- or US-guided aspiration or biopsy to obtain tissue samples. A surgical intervention was performed in 34 (76%) children; 13 (38%) of these were for diagnosis. Diagnosis based on clinical features (abdominal pain, fever and weight loss) and CT- or US-guided aspiration or biopsy may encourage physicians to adopt a more conservative approach to abdominal TB. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Hohara, Sin-ya; Horiguchi, Tetsuo; Ito, Shin
Time-Series Analysis supplies a new vision that conventional analysis methods such as energy spectroscopy haven't achieved ever. However, application of time-series analysis to radiation measurements needs much effort in software and hardware development. By taking advantage of Visual Studio 2005, we developed an analysis software, 'ListFileConverter', for time-series radiation measurement system called as 'MPA-3'. The software is based on graphical user interface (GUI) architecture that enables us to save a large amount of operation time in the analysis, and moreover to make an easy-access to special file structure of MPA-3 data. In this paper, detailed structure of ListFileConverter is fully explained, and experimental results for counting capability of MPA-3 hardware system and those for neutron measurements with our UTR-KINKI reactor are also given. (author)
Dadgaran, Ideh; Shirazi, Mandana; Mohammadi, Aeen; Ravari, Ali
Although nursing students spend a large part of their learning period in the clinical environment, clinical learning has not been perceived by its nature yet. To develop an instrument to measure effective factors on clinical learning in nursing students. This is a mixed methods study performed in 2 steps. First, the researchers defined "clinical learning" in nursing students through qualitative content analysis and designed items of the questionnaire based on semi-structured individual interviews with nursing students. Then, as the second step, psychometric properties of the questionnaire were evaluated using the face validity, content validity, construct validity, and internal consistency evaluated on 227 students from fourth or higher semesters. All the interviews were recorded and transcribed, and then, they were analyzed using Max Qualitative Data Analysis and all of qualitative data were analyzed using SPSS 14. To do the study, we constructed the preliminary questionnaire containing 102 expressions. After determination of face and content validities by qualitative and quantitative approaches, the expressions of the questionnaire were reduced to 45. To determine the construct validity, exploratory factor analysis was applied. The results indicated that the maximum variance percentage (40.55%) was defined by the first 3 factors while the rest of the total variance percentage (59.45%) was determined by the other 42 factors. Results of exploratory factor analysis of this questionnaire indicated the presence of 3 instructor-staff, students, and educational related factors. Finally, 41 expressions were kept in 3 factor groups. The α-Cronbach coefficient (0.93) confirmed the high internal consistency of the questionnaire. Results indicated that the prepared questionnaire was an efficient instrument in the study of the effective factors on clinical learning as viewed by nursing students since it involves 41 expressions and properties such as instrument design based
Full Text Available A comprehensive online learning programme with more than 200 courses was built by the International Federation of Red Cross and Red Crescent Societies between starting with 2009 and 2015, offering development opportunities to the Red Cross and Red Crescent (RCRC volunteers and staff to broaden their understanding, to strengthen their organisations, and to be better prepared in providing humanitarian aid. While it is difficult to say to what extent factors such as training, job mentoring, and induction programmes contribute to job performance and to an organisation’s efficiency, it is certain that staff and volunteers willing to undertake courses are more open to transformative and creative approaches, more prepared to tackle with new challenges, more likely to have a stock of knowledge and competencies broader than their own specialisation. Learning and “knowing to learn” are conditions for competitiveness and high performance. Over time, generally speaking, implementation of training as a priority personnel policy proved to have the most significant effects on productivity growth, therefore, efforts towards building a learning culture and delivering quality (online learning are key for developing organisations, their staff, and the quality of services provided. An online training would make a significant difference in learners’ behaviour if it follows several practical guidelines in development, accompanied by thorough checklists to ensure relevance, consistency, alignment and to assist training programmes’ lifecycle.
Full Text Available In the process of learning in the field, the teacher still dominates the conversation while the students as a passive listener. As a result, not only the communication skills of students who are less developed, the understanding of student material is also lacking. Therefore it is necessary to research the ability of teachers in developing learning tools potentially mathematical discourse to improve students' mathematical communication skills. The research method used is descriptive. Research activities include: identification of problems through questionnaires, observation, and interviews; teacher training; teachers develop learning tools; validation; and enhancement of the device by the teacher. The subject of this research is the junior high school mathematics teacher from several districts in the border area of Sambas-Sarawak Regency. The results show that in every learning mathematics there is always a conversation between teachers and students, but rarely use the question "why" and "how". Most teacher-made lesson plans contain scenarios of conversations between teachers and students, but just plain questioning, have not led to a debate between each other so that understanding becomes deeper. Student worksheet made by the teacher in the form of a matter of the ordinary story, rarely load non-routine problem let alone open-ended.
Blair, R J R
In this paper it is proposed that important components of moral development and moral judgment rely on two forms of emotional learning: stimulus-reinforcement and response-outcome learning. Data in support of this position will be primarily drawn from work with individuals with the developmental condition of psychopathy as well as fMRI studies with healthy individuals. Individuals with psychopathy show impairment on moral judgment tasks and a pronounced increased risk for instrumental antisocial behavior. It will be argued that these impairments are developmental consequences of impaired stimulus-aversive conditioning on the basis of distress cue reinforcers and response-outcome learning in individuals with this disorder. Copyright © 2017. Published by Elsevier B.V.