Researching into Learning Resources in Colleges and Universities. The Practical Research Series.

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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…

From Cloister to Commons: Concepts and Models for Service-Learning in Religious Studies. AAHE's Series on Service-Learning in the Disciplines.

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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…

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

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

2018-03-01

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

Developing Preschool Deaf Children's Language and Literacy Learning from an Educational Media Series

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Golos, Debbie B.; Moses, Annie M.

2013-01-01

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)…

Social Responsibility and Sustainability: Multidisciplinary Perspectives through Service Learning. Service Learning for Civic Engagement Series

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McDonald, Tracy, Ed.

2011-01-01

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…

Blending Learning: The Evolution of Online and Face-to-Face Education from 2008-2015. Promising Practices in Blended and Online Learning Series

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Powell, Allison; Watson, John; Staley, Patrick; Patrick, Susan; Horn, Michael; Fetzer, Leslie; Hibbard, Laura; Oglesby, Jonathan; Verma, Sue

2015-01-01

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,…

An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks.

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Muhei-aldin, Othman; VanSwearingen, Jessie; Karim, Helmet; Huppert, Theodore; Sparto, Patrick J; Erickson, Kirk I; Sejdić, Ervin

2014-04-30

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.

Transportation life cycle assessment (LCA) synthesis : life cycle assessment learning module series.

Science.gov (United States)

2015-03-12

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...

Learning Design Development for Blended Learning

DEFF Research Database (Denmark)

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...

Machine learning methods as a tool to analyse incomplete or irregularly sampled radon time series data.

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Janik, M; Bossew, P; Kurihara, O

2018-07-15

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

Forecasting air quality time series using deep learning.

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Freeman, Brian S; Taylor, Graham; Gharabaghi, Bahram; Thé, Jesse

2018-04-13

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

Information extraction from dynamic PS-InSAR time series using machine learning

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van de Kerkhof, B.; Pankratius, V.; Chang, L.; van Swol, R.; Hanssen, R. F.

2017-12-01

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

Developing iPad-Based Physics Simulations That Can Help People Learn Newtonian Physics Concepts

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Lee, Young-Jin

2015-01-01

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…

Active learning through a debate series in a first-year pharmacy self-care course.

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Lampkin, Stacie J; Collins, Christine; Danison, Ryan; Lewis, Michelle

2015-03-25

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.

The "Tse Tsa Watle" Speaker Series: An Example of Ensemble Leadership and Generative Adult Learning

Science.gov (United States)

McKendry, Virginia

2017-01-01

This chapter examines an Indigenous speaker series formed to foster intercultural partnerships at a Canadian university. Using ensemble leadership and generative learning theories to make sense of the project, the author argues that ensemble leadership is key to designing the generative learning adult learners need in an era of ambiguity.

Evaluating the impact of a Biology I professional development series

Science.gov (United States)

Sampsell, Jacquelyn Scipper

2005-11-01

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

Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

Directory of Open Access Journals (Sweden)

Juan Pardo

2015-04-01

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.

Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

Science.gov (United States)

Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma

2015-01-01

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

Online learning algorithm for time series forecasting suitable for low cost wireless sensor networks nodes.

Science.gov (United States)

Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma

2015-04-21

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.

Ensemble Deep Learning for Biomedical Time Series Classification

Directory of Open Access Journals (Sweden)

Lin-peng Jin

2016-01-01

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.

Cluster analysis of activity-time series in motor learning

DEFF Research Database (Denmark)

Balslev, Daniela; Nielsen, Finn Å; Futiger, Sally A

2002-01-01

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...

Using machine learning to identify structural breaks in single-group interrupted time series designs.

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Linden, Ariel; Yarnold, Paul R

2016-12-01

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.

Reasoning with Paper and Pencil: The Role of Inscriptions in Student Learning of Geometric Series

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Carlsen, Martin

2009-01-01

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…

Developing Long-Term Computing Skills among Low-Achieving Students via Web-Enabled Problem-Based Learning and Self-Regulated Learning

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Tsai, Chia-Wen; Lee, Tsang-Hsiung; Shen, Pei-Di

2013-01-01

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…

A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

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Su, C-H.; Cheng, C-H.

2015-01-01

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…

Excellence in Physics Education Award Talk: Sharing Active Learning Strategies in the Developed and Developing Worlds

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Sokoloff, David

2010-02-01

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. )

International Work-Conference on Time Series

CERN Document Server

Pomares, Héctor; Valenzuela, Olga

2017-01-01

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...

Student understanding of Taylor series expansions in statistical mechanics

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Trevor I. Smith

2013-08-01

Full Text Available One goal of physics instruction is to have students learn to make physical meaning of specific mathematical expressions, concepts, and procedures in different physical settings. As part of research investigating student learning in statistical physics, we are developing curriculum materials that guide students through a derivation of the Boltzmann factor using a Taylor series expansion of entropy. Using results from written surveys, classroom observations, and both individual think-aloud and teaching interviews, we present evidence that many students can recognize and interpret series expansions, but they often lack fluency in creating and using a Taylor series appropriately, despite previous exposures in both calculus and physics courses.

Student understanding of Taylor series expansions in statistical mechanics

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Smith, Trevor I.; Thompson, John R.; Mountcastle, Donald B.

2013-12-01

One goal of physics instruction is to have students learn to make physical meaning of specific mathematical expressions, concepts, and procedures in different physical settings. As part of research investigating student learning in statistical physics, we are developing curriculum materials that guide students through a derivation of the Boltzmann factor using a Taylor series expansion of entropy. Using results from written surveys, classroom observations, and both individual think-aloud and teaching interviews, we present evidence that many students can recognize and interpret series expansions, but they often lack fluency in creating and using a Taylor series appropriately, despite previous exposures in both calculus and physics courses.

Time series classification using k-Nearest neighbours, Multilayer Perceptron and Learning Vector Quantization algorithms

Directory of Open Access Journals (Sweden)

Jiří Fejfar

2012-01-01

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.

Training the Foot Soldiers of Inquiry: Development and Evaluation of a Graduate Teaching Assistant Learning Community

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Linenberger, Kimberly; Slade, Michael C.; Addis, Elizabeth A.; Elliott, Emily R.; Mynhardt, Glené; Raker, Jeffrey R.

2014-01-01

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…

Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

International Nuclear Information System (INIS)

Chou, Jui-Sheng; Ngo, Ngoc-Tri

2016-01-01

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

E-learning and school development

DEFF Research Database (Denmark)

Skov Hansen, Line; Sunnevåg, Anne-Karin; Kostøl, Anne

2011-01-01

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...

Effective Professional Development for Physical Education Teachers: The Role of Informal, Collaborative Learning

Science.gov (United States)

Armour, Kathleen M.; Yelling, Martin

2007-01-01

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…

Development of a Water-Quality Lab That Enhances Learning & Connects Students to the Land

Science.gov (United States)

Enos-Berlage, Jodi

2012-01-01

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…

Time series modeling, computation, and inference

CERN Document Server

Prado, Raquel

2010-01-01

The authors systematically develop a state-of-the-art analysis and modeling of time series. … this book is well organized and well written. The authors present various statistical models for engineers to solve problems in time series analysis. Readers no doubt will learn state-of-the-art techniques from this book.-Hsun-Hsien Chang, Computing Reviews, March 2012My favorite chapters were on dynamic linear models and vector AR and vector ARMA models.-William Seaver, Technometrics, August 2011… a very modern entry to the field of time-series modelling, with a rich reference list of the current lit

Development of Distant Learning Laboratory and Creation of Educational Materials

Science.gov (United States)

Considine, Michelle

1995-01-01

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.

Learning Networks for Professional Development & Lifelong Learning

NARCIS (Netherlands)

Brouns, Francis; Sloep, Peter

2009-01-01

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

Design and Implementation of a Professional Development Course Series.

Science.gov (United States)

Welch, Beth; Spooner, Joshua J; Tanzer, Kim; Dintzner, Matthew R

2017-12-01

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.

Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case

International Nuclear Information System (INIS)

Voyant, Cyril; Notton, Gilles; Darras, Christophe; Fouilloy, Alexis; Motte, Fabrice

2017-01-01

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.

Generation and Validation of Spatial Distribution of Hourly Wind Speed Time-Series using Machine Learning

International Nuclear Information System (INIS)

Veronesi, F; Grassi, S

2016-01-01

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)

Generation and Validation of Spatial Distribution of Hourly Wind Speed Time-Series using Machine Learning

Science.gov (United States)

Veronesi, F.; Grassi, S.

2016-09-01

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.

Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.

Science.gov (United States)

Ak, Ronay; Fink, Olga; Zio, Enrico

2016-08-01

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.

Development of Learning to Learn Skills in Primary School

Science.gov (United States)

Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko

2015-01-01

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…

Learning Networks for Professional Development & Lifelong Learning

NARCIS (Netherlands)

Sloep, Peter

2009-01-01

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.

Developing a learning analytics tool

DEFF Research Database (Denmark)

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....

Egyptians, Maya, Minoans. Learning Works Enrichment Series.

Science.gov (United States)

Matthies, Susanna

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…

Developing a Simulation-Based Mastery Learning Curriculum: Lessons From 11 Years of Advanced Cardiac Life Support.

Science.gov (United States)

Barsuk, Jeffrey H; Cohen, Elaine R; Wayne, Diane B; Siddall, Viva J; McGaghie, William C

2016-02-01

Curriculum development in medical education should follow a planned, systematic approach fitted to the needs and conditions of a local institutional environment and its learners. This article describes the development and maintenance of a simulation-based medical education curriculum on advanced cardiac life support skills and its transformation to a mastery learning program. Curriculum development used the Kern 6-step model involving problem identification and general needs assessment, targeted needs assessment, goals and objectives, educational strategies, implementation, and evaluation and feedback. Curriculum maintenance and enhancement and dissemination are also addressed. Transformation of the simulation-based medical education curriculum to a mastery learning program was accomplished after a 2-year phase-in trial. A series of studies spanning 11 years was performed to adjust the curriculum, improve checklist outcome measures, and evaluate curriculum effects as learning outcomes among internal medicine residents and improved patient care practices. We anticipate wide adoption of the mastery learning model for skill and knowledge acquisition and maintenance in medical education settings.

A remote sensing computer-assisted learning tool developed using the unified modeling language

Science.gov (United States)

Friedrich, J.; Karslioglu, M. O.

The goal of this work has been to create an easy-to-use and simple-to-make learning tool for remote sensing at an introductory level. Many students struggle to comprehend what seems to be a very basic knowledge of digital images, image processing and image arithmetic, for example. Because professional programs are generally too complex and overwhelming for beginners and often not tailored to the specific needs of a course regarding functionality, a computer-assisted learning (CAL) program was developed based on the unified modeling language (UML), the present standard for object-oriented (OO) system development. A major advantage of this approach is an easier transition from modeling to coding of such an application, if modern UML tools are being used. After introducing the constructed UML model, its implementation is briefly described followed by a series of learning exercises. They illustrate how the resulting CAL tool supports students taking an introductory course in remote sensing at the author's institution.

Civic Education and Deeper Learning. Deeper Learning Research Series

Science.gov (United States)

Levine, Peter; Kawashima-Ginsberg, Kei

2015-01-01

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…

Attention and Word Learning in Autistic, Language Delayed and Typically Developing Children

Directory of Open Access Journals (Sweden)

Elena eTenenbaum

2014-05-01

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.

Logo and Geometry. Journal for Research in Mathematics Education Monograph Series.

Science.gov (United States)

Clements, Douglas H.; Battista, Michael T.

This book, the 10th volume in the Journal for Research in Mathematics Education (JRME) Monograph Series, discusses the geometry curriculum and investigates how elementary school students learn geometric concepts and how Logo programming and its turtle graphics might affect this learning. This volume also provides details on the development,…

75 FR 13259 - NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn...

Science.gov (United States)

2010-03-19

... 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...

Evaluation of the e-Learning material developed by EMERALD and EMIT for diagnostic imaging and radiotherapy.

Science.gov (United States)

Aitken, Victoria; Tabakov, Slavik

2005-09-01

Two Leonardo projects, EMERALD and EMIT, have developed in a partnershipof university and hospital departments (the consortia) e-Learning materials in X-ray diagnostic radiology, nuclear medicine, radiotherapy, ultrasound and magnetic resonance imaging for medical physics graduates and other healthcare professionals. These e-Learning materials are described in a separate paper in this issue. To assess the effectiveness and relevance of the e-Learning material, a series of evaluations by student users groups plus experts in medical physics education and training were undertaken. The students, with backgrounds in physics and clinical ultrasound, reviewed the e-Learning material using an evaluation form developed by the consortia. The student feedback was favourable with students commenting that their level of knowledge had increased having completed the tasks. Areas identified for development were a reduction in text volume and an increase in the time allowed for completion of some tasks. The feedback from the experts was positive with an overall appreciation of the value of the learning material as a resource for students in medical physics field across Europe and identified other disciplines in which the access to the learning material could be useful contribution to their learning. Suggestions made for improvements ranged from grading the tasks into basic and advanced topics to increasing the interactive nature of the material. These early evaluation of the e-Learning material look promising and provide a framework for further developments in the field. Insight into users and providers views is important if developers are to provide relevant and worthwhile educational learning opportunities.

E-learning Paradigms and The Development of E-learning Strategy

DEFF Research Database (Denmark)

Duus, Henrik Johannsen

2006-01-01

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....

E-Learning and Economic Development

Directory of Open Access Journals (Sweden)

Kelly CAREY

2005-01-01

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, Slovenia’s 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.

Professional development as learning in relationships

OpenAIRE

Noworolnik-Mastalska, Monika

2013-01-01

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 ...

Development of the breastfeeding quality improvement in hospitals learning collaborative in New York state.

Science.gov (United States)

Fitzpatrick, Eileen; Dennison, Barbara A; Welge, Sara Bonam; Hisgen, Stephanie; Boyce, Patricia Simino; Waniewski, Patricia A

2013-06-01

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.

A Model for Learning Development

Science.gov (United States)

Kilfoil, W. R.

2008-01-01

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…

Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction.

Science.gov (United States)

Miranian, A; Abdollahzade, M

2013-02-01

Local modeling approaches, owing to their ability to model different operating regimes of nonlinear systems and processes by independent local models, seem appealing for modeling, identification, and prediction applications. In this paper, we propose a local neuro-fuzzy (LNF) approach based on the least-squares support vector machines (LSSVMs). The proposed LNF approach employs LSSVMs, which are powerful in modeling and predicting time series, as local models and uses hierarchical binary tree (HBT) learning algorithm for fast and efficient estimation of its parameters. The HBT algorithm heuristically partitions the input space into smaller subdomains by axis-orthogonal splits. In each partitioning, the validity functions automatically form a unity partition and therefore normalization side effects, e.g., reactivation, are prevented. Integration of LSSVMs into the LNF network as local models, along with the HBT learning algorithm, yield a high-performance approach for modeling and prediction of complex nonlinear time series. The proposed approach is applied to modeling and predictions of different nonlinear and chaotic real-world and hand-designed systems and time series. Analysis of the prediction results and comparisons with recent and old studies demonstrate the promising performance of the proposed LNF approach with the HBT learning algorithm for modeling and prediction of nonlinear and chaotic systems and time series.

DEVELOPMENT OF TIME-SERIES HUMAN SETTLEMENT MAPPING SYSTEM USING HISTORICAL LANDSAT ARCHIVE

Directory of Open Access Journals (Sweden)

H. Miyazaki

2016-06-01

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.

Integrating Anatomy Training into Radiation Oncology Residency: Considerations for Developing a Multidisciplinary, Interactive Learning Module for Adult Learners

Science.gov (United States)

Labranche, Leah; Johnson, Marjorie; Palma, David; D'Souza, Leah; Jaswal, Jasbir

2015-01-01

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…

Collaborative distance learning: Developing an online learning community

Science.gov (United States)

Stoytcheva, Maria

2017-12-01

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.

Case study: use of problem-based learning to develop students' technical and professional skills

Science.gov (United States)

Warnock, James N.; Mohammadi-Aragh, M. Jean

2016-03-01

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.

A Mixed-Methods Analysis in Assessing Students' Professional Development by Applying an Assessment for Learning Approach.

Science.gov (United States)

Peeters, Michael J; Vaidya, Varun A

2016-06-25

Objective. To describe an approach for assessing the Accreditation Council for Pharmacy Education's (ACPE) doctor of pharmacy (PharmD) Standard 4.4, which focuses on students' professional development. Methods. This investigation used mixed methods with triangulation of qualitative and quantitative data to assess professional development. Qualitative data came from an electronic developmental portfolio of professionalism and ethics, completed by PharmD students during their didactic studies. Quantitative confirmation came from the Defining Issues Test (DIT)-an assessment of pharmacists' professional development. Results. Qualitatively, students' development reflections described growth through this course series. Quantitatively, the 2015 PharmD class's DIT N2-scores illustrated positive development overall; the lower 50% had a large initial improvement compared to the upper 50%. Subsequently, the 2016 PharmD class confirmed these average initial improvements of students and also showed further substantial development among students thereafter. Conclusion. Applying an assessment for learning approach, triangulation of qualitative and quantitative assessments confirmed that PharmD students developed professionally during this course series.

Invasion Ecology. Student Edition. Cornell Scientific Inquiry Series.

Science.gov (United States)

Krasny, Marianne E.; Trautmann, Nancy; Carlsen, William; Cunningham, Christine

This book contains the student edition of the Environmental Inquiry curriculum series developed at Cornell University. It is designed to teach learning skills for investigating the behaviors of non-native and native species and demonstrate how to apply scientific knowledge to solve real-life problems. This book focuses on strange intruders…

Introduction to Time Series Modeling

CERN Document Server

Kitagawa, Genshiro

2010-01-01

In time series modeling, the behavior of a certain phenomenon is expressed in relation to the past values of itself and other covariates. Since many important phenomena in statistical analysis are actually time series and the identification of conditional distribution of the phenomenon is an essential part of the statistical modeling, it is very important and useful to learn fundamental methods of time series modeling. Illustrating how to build models for time series using basic methods, "Introduction to Time Series Modeling" covers numerous time series models and the various tools f

The development of a valid discovery-based learning module to improve students' mathematical connection

Science.gov (United States)

Kuneni, Erna; Mardiyana, Pramudya, Ikrar

2017-08-01

Geometry is the most important branch in mathematics. The purpose of teaching this material is to develop students' level of thinking for a better understanding. Otherwise, geometry in particular, has contributed students' failure in mathematics examinations. This problem occurs due to special feature in geometry which has complexity of correlation among its concept. This relates to mathematical connection. It is still difficult for students to improve this ability. This is because teachers' lack in facilitating students towards it. Eventhough, facilitating students can be in the form of teaching material. A learning module can be a solution because it consists of series activities that should be taken by students to achieve a certain goal. A series activities in this case is adopted by the phases of discovery-based learning model. Through this module, students are facilitated to discover concept by deep instruction and guidance. It can build the mathematical habits of mind and also strengthen the mathematical connection. Method used in this research was ten stages of research and development proposed by Bord and Gall. The research purpose is to create a valid learning module to improve students' mathematical connection in teaching quadrilateral. The retrieved valid module based on media expert judgment is 2,43 for eligibility chart aspect, 2,60 for eligibility presentation aspect, and 3,00 for eligibility contents aspect. Then the retrieved valid module based on material expert judgment is 3,10 for eligibility content aspect, 2,87 for eligibility presentation aspect, and 2,80 for eligibility language and legibility aspect.

Law and Financial Development: What we are learning from time-series evidence

OpenAIRE

Armour, J.; Deakin, S.; Mollica, V.; Siems, M.M.

2010-01-01

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...

Pupils Learning Preferences and Interest Development in Learning

Science.gov (United States)

Arikpo, Ofem U.; Domike, Grace

2015-01-01

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…

Designing and Evaluating an Interprofessional Experiential Course Series Involving Medical and Pharmacy Students

Science.gov (United States)

Dueñas, Gladys G.; Zanoni, Aileen; Grover, Anisha B.

2016-01-01

Objective. To prepare first-year and second-year pharmacy and medical students to build effective collaborative health care teams by participating in an interprofessional experiential 6-semester course series. Design. An interprofessional experiential course series was designed using a variety of teaching methods to achieve both interprofessional and experiential learning outcomes. A standardized objective behavioral assessment was developed to measure team performance of interprofessional communication and teamwork. In addition, student perceptions were measured using a validated instrument. Assessment. A majority of teams demonstrated appropriate competence with respect to interprofessional communication and teamwork. Additionally, a majority of students expressed positive perceptions of interprofessional collaboration with respect to teamwork, roles and responsibilities, and patient outcomes. Conclusion. An interprofessional experiential course series can be successfully implemented to achieve both interprofessional and experiential learning outcomes. Highly collaborative teams and positive student perceptions provide evidence of achievement of interprofessional education learning outcomes. PMID:27402988

Clinical time series prediction: Toward a hierarchical dynamical system framework.

Science.gov (United States)

Liu, Zitao; Hauskrecht, Milos

2015-09-01

Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision making. In this work, we propose and develop a novel hierarchical framework for modeling clinical time series data of varied length and with irregularly sampled observations. Our hierarchical dynamical system framework for modeling clinical time series combines advantages of the two temporal modeling approaches: the linear dynamical system and the Gaussian process. We model the irregularly sampled clinical time series by using multiple Gaussian process sequences in the lower level of our hierarchical framework and capture the transitions between Gaussian processes by utilizing the linear dynamical system. The experiments are conducted on the complete blood count (CBC) panel data of 1000 post-surgical cardiac patients during their hospitalization. Our framework is evaluated and compared to multiple baseline approaches in terms of the mean absolute prediction error and the absolute percentage error. We tested our framework by first learning the time series model from data for the patients in the training set, and then using it to predict future time series values for the patients in the test set. We show that our model outperforms multiple existing models in terms of its predictive accuracy. Our method achieved a 3.13% average prediction accuracy improvement on ten CBC lab time series when it was compared against the best performing baseline. A 5.25% average accuracy improvement was observed when only short-term predictions were considered. A new hierarchical dynamical system framework that lets us model irregularly sampled time series data is a promising new direction for modeling clinical time series and for improving their predictive performance. Copyright © 2014 Elsevier B.V. All rights reserved.

Clinical time series prediction: towards a hierarchical dynamical system framework

Science.gov (United States)

Liu, Zitao; Hauskrecht, Milos

2014-01-01

Objective Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision making. In this work, we propose and develop a novel hierarchical framework for modeling clinical time series data of varied length and with irregularly sampled observations. Materials and methods Our hierarchical dynamical system framework for modeling clinical time series combines advantages of the two temporal modeling approaches: the linear dynamical system and the Gaussian process. We model the irregularly sampled clinical time series by using multiple Gaussian process sequences in the lower level of our hierarchical framework and capture the transitions between Gaussian processes by utilizing the linear dynamical system. The experiments are conducted on the complete blood count (CBC) panel data of 1000 post-surgical cardiac patients during their hospitalization. Our framework is evaluated and compared to multiple baseline approaches in terms of the mean absolute prediction error and the absolute percentage error. Results We tested our framework by first learning the time series model from data for the patient in the training set, and then applying the model in order to predict future time series values on the patients in the test set. We show that our model outperforms multiple existing models in terms of its predictive accuracy. Our method achieved a 3.13% average prediction accuracy improvement on ten CBC lab time series when it was compared against the best performing baseline. A 5.25% average accuracy improvement was observed when only short-term predictions were considered. Conclusion A new hierarchical dynamical system framework that lets us model irregularly sampled time series data is a promising new direction for modeling clinical time series and for improving their predictive

An online module series to prepare pharmacists to facilitate student engagement in patient-centered care delivery: development and evaluation

Directory of Open Access Journals (Sweden)

Kassam R

2012-06-01

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

Experience Learning and Community Development

Directory of Open Access Journals (Sweden)

Nena Mijoč

1996-12-01

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.

Integrated learning through student goal development.

Science.gov (United States)

Price, Deborah; Tschannen, Dana; Caylor, Shandra

2013-09-01

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.

Exploitation of linkage learning in evolutionary algorithms

CERN Document Server

Chen, Ying-ping

2010-01-01

The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Fourier Series Optimization Opportunity

Science.gov (United States)

Winkel, Brian

2008-01-01

This note discusses the introduction of Fourier series as an immediate application of optimization of a function of more than one variable. Specifically, it is shown how the study of Fourier series can be motivated to enrich a multivariable calculus class. This is done through discovery learning and use of technology wherein students build the…

Epistemological development and collaborative learning: a hermeneutic analysis of music therapy students' experience.

Science.gov (United States)

Luce, David W

2008-01-01

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.

Integrating transformative learning and action learning approaches to enhance ethical leadership for supervisors in the hotel business

OpenAIRE

Boonyuen Saranya; Charungkaittikul Suwithida; Ratana-ubol Archanya

2016-01-01

Ethical leadership is now increasingly focused in leadership development. The main purpose of this study is to explore two methods of adult learning, action learning and transformative learning, and to use the methods to enhance ethical leadership. Building ethical leadership requires an approach that focuses on personal values, beliefs, or frames of references, which is transformative learning. Transformative learning requires a series of meetings to conduct critical discourse and to follow ...

Advanced Learning Theories Applied to Leadership Development

Science.gov (United States)

2006-11-01

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

Co-Operative Learning and Development Networks.

Science.gov (United States)

Hodgson, V.; McConnell, D.

1995-01-01

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…

Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals

Directory of Open Access Journals (Sweden)

Kai Wang

2016-01-01

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.

Moments of movement: active learning and practice development.

Science.gov (United States)

Dewing, Jan

2010-01-01

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.

A deep learning framework for financial time series using stacked autoencoders and long-short term memory.

Science.gov (United States)

Bao, Wei; Yue, Jun; Rao, Yulei

2017-01-01

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.

Teacher Perspectives on Technology Integration Professional Development: Formal, Informal, and Independent Learning Activities

Science.gov (United States)

Jones, Monty; Dexter, Sara

2018-01-01

This mixed-methods study examined the technology integration learning activities of four teachers throughout one year using weekly quantitative surveys and a series of three qualitative individual interviews. Through the teachers' own voices an illustration of their learning processes is presented, and the gap between what is supported by their…

edX e-learning course development

CERN Document Server

Gilbert, Matthew A

2015-01-01

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.

Developing Scale for Assimilate the Integration between Learning Theories and E-learning.

Directory of Open Access Journals (Sweden)

George Maher Iskander

2014-03-01

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.

A deep learning framework for financial time series using stacked autoencoders and long-short term memory

Science.gov (United States)

Bao, Wei; Rao, Yulei

2017-01-01

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

A deep learning framework for financial time series using stacked autoencoders and long-short term memory.

Directory of Open Access Journals (Sweden)

Wei Bao

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.

Robot Competence Development by Constructive Learning

Science.gov (United States)

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.

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

NARCIS (Netherlands)

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

2017-01-01

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

How School Districts Can Support Deeper Learning: The Need for Performance Alignment. Executive Summary. Deeper Learning Research Series

Science.gov (United States)

Honig, Meredith I.; Rainey, Lydia R.

2015-01-01

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.…

Teacher Professional Learning: Developing with the Aid of Technology

Science.gov (United States)

Kyprianou, Marianna; Nikiforou, Eleni

2016-01-01

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…

Cultivating Institutional Capacities for Learning Analytics

Science.gov (United States)

Lonn, Steven; McKay, Timothy A.; Teasley, Stephanie D.

2017-01-01

This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…

Component-Based Approach in Learning Management System Development

Science.gov (United States)

Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

2013-01-01

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…

The impact on career development of learning opportunities and learning behavior at work

NARCIS (Netherlands)

van der Sluis, E.C.; Poell, R.F.

2003-01-01

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

Technology Development, Implementation and Assessment: K-16 Pre-Service, In-Service and Distance Learning Initiatives

Science.gov (United States)

Williams, William B., Jr.

1999-01-01

The technologies associated with distance learning are evolving rapidly, giving to educators a potential tool for enhancing the educational experiences of large numbers of students simultaneously. This enhancement, in order to be effective, must take into account the various agendas of teachers, administrators, state systems, and of course students. It must also make use of the latest research on effective pedagogy. This combination, effective pedagogy and robust information technology, is a powerful vehicle for communicating, to a large audience of school children the excitement of mathematics and science--an excitement that for the most part is now well-hidden. This project,"Technology Development, Implementation and Assessment," proposed to bring to bear on the education of learners in grades 3 - 8 in science and mathematics both advances in information technology and in effective pedagogy. Specifically, the project developed components NASA CONNECT video series--problem-based learning modules that focus on the scientific method and that incorporate problem-based learning scenarios tied to national mathematics and science standards. These videos serve two purposes; they engage students in the excitement of hands-on learning and they model for the teachers of these students the problem-based learning practices that are proving to be excellent ways to teach science and mathematics to school students. Another component of NASA CONNECT is the accompanying web-site.

Koopman Operator Framework for Time Series Modeling and Analysis

Science.gov (United States)

Surana, Amit

2018-01-01

We propose an interdisciplinary framework for time series classification, forecasting, and anomaly detection by combining concepts from Koopman operator theory, machine learning, and linear systems and control theory. At the core of this framework is nonlinear dynamic generative modeling of time series using the Koopman operator which is an infinite-dimensional but linear operator. Rather than working with the underlying nonlinear model, we propose two simpler linear representations or model forms based on Koopman spectral properties. We show that these model forms are invariants of the generative model and can be readily identified directly from data using techniques for computing Koopman spectral properties without requiring the explicit knowledge of the generative model. We also introduce different notions of distances on the space of such model forms which is essential for model comparison/clustering. We employ the space of Koopman model forms equipped with distance in conjunction with classical machine learning techniques to develop a framework for automatic feature generation for time series classification. The forecasting/anomaly detection framework is based on using Koopman model forms along with classical linear systems and control approaches. We demonstrate the proposed framework for human activity classification, and for time series forecasting/anomaly detection in power grid application.

U.S. Department of Energy & Nuclear Regulatory Commission Advanced Fuel Cycle Research & Development Seminar Series FY 2007 & 2008

Energy Technology Data Exchange (ETDEWEB)

Grandy, Christopher [Argonne National Lab. (ANL), Argonne, IL (United States)

2008-08-01

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.

Career Development Theory and Its Application. Career Knowledge Series

Science.gov (United States)

National Career Development Association, 2015

2015-01-01

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…

Distance learning: the future of continuing professional development.

Science.gov (United States)

Southernwood, Julie

2008-10-01

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.

Nuclear engineering 24/7 via distance learning: Course development and management experiences

International Nuclear Information System (INIS)

Maldonado, G. I.; Christenson, J.; Spitz, H.; Rutz, E.; Todd, A.

2006-01-01

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)

Financing the Business. PACE Revised. Level 2. Unit 8. Research & Development Series No. 240BB8.

Science.gov (United States)

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…

iPad Learning Ecosystem: Developing Challenge-Based Learning Using Design Thinking

Science.gov (United States)

Marin, Catalina; Hargis, Jace; Cavanaugh, Cathy

2013-01-01

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…

An associative account of the development of word learning.

Science.gov (United States)

Sloutsky, Vladimir M; Yim, Hyungwook; Yao, Xin; Dennis, Simon

2017-09-01

Word learning is a notoriously difficult induction problem because meaning is underdetermined by positive examples. How do children solve this problem? Some have argued that word learning is achieved by means of inference: young word learners rely on a number of assumptions that reduce the overall hypothesis space by favoring some meanings over others. However, these approaches have difficulty explaining how words are learned from conversations or text, without pointing or explicit instruction. In this research, we propose an associative mechanism that can account for such learning. In a series of experiments, 4-year-olds and adults were presented with sets of words that included a single nonsense word (e.g. dax). Some lists were taxonomic (i.,e., all items were members of a given category), some were associative (i.e., all items were associates of a given category, but not members), and some were mixed. Participants were asked to indicate whether the nonsense word was an animal or an artifact. Adults exhibited evidence of learning when lists consisted of either associatively or taxonomically related items. In contrast, children exhibited evidence of word learning only when lists consisted of associatively related items. These results present challenges to several extant models of word learning, and a new model based on the distinction between syntagmatic and paradigmatic associations is proposed. Copyright © 2017 Elsevier Inc. All rights reserved.

Development of e-learning for English class

Directory of Open Access Journals (Sweden)

Agustina Noni

2018-01-01

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.

Development of Learning Models Based on Problem Solving and Meaningful Learning Standards by Expert Validity for Animal Development Course

Science.gov (United States)

Lufri, L.; Fitri, R.; Yogica, R.

2018-04-01

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.

Learning iOS 8 game development using Swift

CERN Document Server

Shekar, Siddharth

2015-01-01

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.

Historical Perspectives and Future Needs in the Development of the Soil Series Concept

Science.gov (United States)

Beaudette, Dylan E.; Brevik, Eric C.; Indorante, Samuel J.

2016-04-01

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.

Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

Meng-Chien Yang

2018-02-01

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

Cultural Challenges in Developing E-Learning Content

OpenAIRE

Marianne Amir Azer; Ahmed Mostafa El-Sherbini

2011-01-01

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 ...

Online faculty development for creating E-learning materials.

Science.gov (United States)

Niebuhr, Virginia; Niebuhr, Bruce; Trumble, Julie; Urbani, Mary Jo

2014-01-01

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.

Developing e-learning solutions in the automotive industry

Directory of Open Access Journals (Sweden)

Razvan Virgil Bogdan

2016-07-01

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.

Neural plasticity of development and learning.

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Galván, Adriana

2010-06-01

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.

Still to Learn from Vicarious Learning

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Mayes, J. T.

2015-01-01

The term "vicarious learning" was introduced in the 1960s by Bandura, who demonstrated how learning can occur through observing the behaviour of others. Such social learning is effective without the need for the observer to experience feedback directly. More than twenty years later a series of studies on vicarious learning was undertaken…

Teaching experience on learning to research in social education: design and development of socio-educational research projects

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Sonia MORALES CALVO

2013-01-01

Full Text Available With the introduction of the competency-based approach, university teaching has to face new challenges into the convergence process by the European Higher Education Area (EHEA. This situation involves a series of pedagogical implications related to: the emphasis on student learning, the changing role of the teacher as manager of the learning process, and the development of the ECTS methodology of «Other Teaching Spaces» such as teaching small groups (seminars or group works in the same classroom. The intention is to harness the educational potential of other teaching tools than those of lectures, for two reasons: better development in the acquisition of competence and greater concern for the quality of teaching, where ECTS credits, the competency as one of the axes of the curriculum, independent learning as aim and mean of higher education, learning throughout life as a synthesis of student learning and creating teaching materials as means of access to knowledge, are the benchmark in the construction of a university adapted to the EHEA. Similarly, we analyze the perceptions of students leading to curriculum development and methodology of the subject, comprising the high degree of satisfaction with the objectives, methodology and resources used in the subject, highlighting the tutorial and teamwork for effective learning. In this context, the aim of this paper is to show a teaching experience in the subject of Research Methods in Education, adapted to the requirements of the EHEA within the degree of Social Education in Talavera de la Reina (Toledo Campus of the University of Castilla-La Mancha. Likewise, we analyze the perceptions of students on the curricula and methodological development of the subject.

Kriging Methodology and Its Development in Forecasting Econometric Time Series

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Andrej Gajdoš

2017-03-01

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.

Students’ Learning Strategies for Developing Speaking Ability

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Sofyan A. Gani

2015-03-01

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.

E-Learning Research and Development: On Evaluation, Learning Performance, and Visual Attention

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Rüth, Marco

2017-01-01

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…

Three Theories of Psychological Development; Implications for Children's Dentistry.

Science.gov (United States)

George, James M.; McIver, F. Thomas

1983-01-01

A slide-tape series developed for introduction of developmental and learning theories in freshman dental curriculum is described. Theories of social-emotional development, cognitive development, and theories of conditioning and observational learning are included. (MSE)

Invasion Ecology. Teacher's Guide [and Student Edition]. Cornell Scientific Inquiry Series.

Science.gov (United States)

Krasny, Marianne E.; Trautmann, Nancy; Carlsen, William; Cunningham, Christine

This book contains the teacher's guide of the Environmental Inquiry curriculum series developed at Cornell University. It is designed to teach learning skills for investigating the behaviors of non-native and native species and demonstrate how to apply scientific knowledge to solve real-life problems. This book focuses on strange intruders…

Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning.

Science.gov (United States)

Oudeyer, Pierre-Yves

2017-01-01

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.

Learning Spring application development

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Soni, Ravi Kant

2015-01-01

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.

The development and evaluation of a holistic needs assessment and care planning learning package targeted at cancer nurses in the UK.

Science.gov (United States)

Henry, R; Hartley, B; Simpson, M; Doyle, N

2014-01-01

A project team from the United Kingdom Oncology Nursing Society developed a blended e-learning website to facilitate nurses to further develop their confidence and competencies in a range of skills related to assessing the holistic needs of people with cancer. The project team identified three areas which were integral to an holistic needs assessment (HNA) implementation project. These were project support information, project management skills, and practical competencies delivered in a blended e-learning package containing a series of accessible video presentations, supporting documents, and practical activities. The team worked with internal and external partners to ensure that a robust and inspiring programme was created. www.hnaforcancer.com was launched in October 2012 as a blended learning programme that incorporates e-learning on core subjects. These subjects are packaged as videoed presentations with supporting learning material and can be accessed via the UKONS website. By the end of the programme participants were equipped to identify and explore the essential requirements for HNA and care planning, more able to recognise potential need, and initiate care to prevent or minimise the risk of complications. Participants had also developed confidence and competency in new skills, including basic project management.

Enhancing Learning Outcomes through Application Driven Activities in Marketing

Science.gov (United States)

Stegemann, Nicole; Sutton-Brady, Catherine

2013-01-01

This paper introduces an activity used in class to allow students to apply previously acquired information to a hands-on task. As the authors have previously shown active learning is a way to effectively facilitate and improve students' learning outcomes. As a result to improve learning outcomes we have overtime developed a series of learning…

Development of E-learning Software Based Multiplatform Components

OpenAIRE

Salamah, Irma; Ganiardi, M. Aris

2017-01-01

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...

Developments in cooperative learning: review of research

Directory of Open Access Journals (Sweden)

Robyn M. Gillies

2014-10-01

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.

Project-based faculty development for e-learning.

Science.gov (United States)

Vyas, Rashmi; Faith, Minnie; Selvakumar, Dhayakani; Pulimood, Anna; Lee, Mary

2016-12-01

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.

International Work-Conference on Time Series

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Pomares, Héctor

2016-01-01

This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. The International Work-Conferences on Time Series (ITISE) provide 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 research encompassing the disciplines of computer science, mathematics, statistics and econometrics.

Learning Design for Sustainable Educational and Professional Development

DEFF Research Database (Denmark)

Godsk, Mikkel; Bjælde, Ole Eggers; Caspersen, Michael E.

2015-01-01

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...

Integrating transformative learning and action learning approaches to enhance ethical leadership for supervisors in the hotel business

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Boonyuen Saranya

2016-01-01

Full Text Available Ethical leadership is now increasingly focused in leadership development. The main purpose of this study is to explore two methods of adult learning, action learning and transformative learning, and to use the methods to enhance ethical leadership. Building ethical leadership requires an approach that focuses on personal values, beliefs, or frames of references, which is transformative learning. Transformative learning requires a series of meetings to conduct critical discourse and to follow up the learning of learners. By organizing such action learning, human resource developers can optimize their time and effort more effectively. The authors have created a comprehensive model to integrate the two learning approaches in a general way that focuses not only on ethical leadership, but also on all kinds of behavioral transformation in the workplace in the hotel business or even other types of business.

Grammar-based feature generation for time-series prediction

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De Silva, Anthony Mihirana

2015-01-01

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method ...

Development of an e-learning package on Service-Learning for university teachers: experience from Hong Kong.

Science.gov (United States)

Shek, Daniel T L; Chan, Stephen C F

2013-01-01

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.

Planning the Marketing Strategy. PACE Revised. Level 2. Unit 6. Research & Development Series No. 240BB6.

Science.gov (United States)

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…

Director`s series on proliferation

Energy Technology Data Exchange (ETDEWEB)

Bailey, K.C.; Price, M.E. [eds.

1994-12-27

The Director`s Series on Proliferation is an occasional publication of essays on the topics of nuclear, chemical, biological, and missile proliferation. The seven papers presented in this issue cover the following topics: Should the Treaty on the Nonproliferation of Nuclear Weapons (NPT) be amended?; NPT extension - Legal and procedural issues; An Indonesian view of NPT review conference issues; The treaty of Tlatelolco and the NPT - Tools for peace and development; Perspectives on cut-off, weapons dismantlement, and security assurances; Belarus and NPT challenges; A perspective on the chemical weapons convention - Lessons learned from the preparatory commission.

Professional identity development: Learning and journeying together.

Science.gov (United States)

Bridges, Stephanie J

2018-03-01

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.

Mutual learning and reverse innovation–where next?

Science.gov (United States)

2014-01-01

There is a clear and evident need for mutual learning in global health systems. It is increasingly recognized that innovation needs to be sourced globally and that we need to think in terms of co-development as ideas are developed and spread from richer to poorer countries and vice versa. The Globalization and Health journal’s ongoing thematic series, “Reverse innovation in global health systems: learning from low-income countries” illustrates how mutual learning and ideas about so-called "reverse innovation" or "frugal innovation" are being developed and utilized by researchers and practitioners around the world. The knowledge emerging from the series is already catalyzing change and challenging the status quo in global health. The path to truly “global innovation flow”, although not fully established, is now well under way. Mobilization of knowledge and resources through continuous communication and awareness raising can help sustain this movement. Global health learning laboratories, where partners can support each other in generating and sharing lessons, have the potential to construct solutions for the world. At the heart of this dialogue is a focus on creating practical local solutions and, simultaneously, drawing out the lessons for the whole world. PMID:24673828

Mutual learning and reverse innovation--where next?

Science.gov (United States)

Crisp, Nigel

2014-03-28

There is a clear and evident need for mutual learning in global health systems. It is increasingly recognized that innovation needs to be sourced globally and that we need to think in terms of co-development as ideas are developed and spread from richer to poorer countries and vice versa. The Globalization and Health journal's ongoing thematic series, "Reverse innovation in global health systems: learning from low-income countries" illustrates how mutual learning and ideas about so-called "reverse innovation" or "frugal innovation" are being developed and utilized by researchers and practitioners around the world. The knowledge emerging from the series is already catalyzing change and challenging the status quo in global health. The path to truly "global innovation flow", although not fully established, is now well under way. Mobilization of knowledge and resources through continuous communication and awareness raising can help sustain this movement. Global health learning laboratories, where partners can support each other in generating and sharing lessons, have the potential to construct solutions for the world. At the heart of this dialogue is a focus on creating practical local solutions and, simultaneously, drawing out the lessons for the whole world.

Learning Outcomes in Vocational Education: A Business Plan Development by Production-Based Learning Model Approach

Science.gov (United States)

Kusumaningrum, Indrati; Hidayat, Hendra; Ganefri; Anori, Sartika; Dewy, Mega Silfia

2016-01-01

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…

Global Blended Learning Practices for Teaching and Learning, Leadership and Professional Development

Science.gov (United States)

Hilliard, Ann Toler

2015-01-01

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…

Handbook of Time Series Analysis Recent Theoretical Developments and Applications

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Schelter, Björn; Timmer, Jens

2006-01-01

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

Epistemic Communities, Situated Learning and Open Source Software Development

DEFF Research Database (Denmark)

Edwards, Kasper

2001-01-01

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...

Learning in a Physics Classroom Community: Physics Learning Identity Construct Development, Measurement and Validation

Science.gov (United States)

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

Inquiry based learning: a student centered learning to develop mathematical habits of mind

Science.gov (United States)

Handayani, A. D.; Herman, T.; Fatimah, S.; Setyowidodo, I.; Katminingsih, Y.

2018-05-01

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.

Cultural Challenges in Developing E-Learning Content

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Marianne Amir Azer

2011-03-01

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.

Developing physics learning media using 3D cartoon

Science.gov (United States)

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

2018-03-01

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

Development and Evaluation of a Computer-Based Learning Environment for Teachers: Assessment of Learning Strategies in Learning Journals

Directory of Open Access Journals (Sweden)

Inga Glogger

2013-01-01

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.

Time series analysis of the developed financial markets' integration using visibility graphs

Science.gov (United States)

Zhuang, Enyu; Small, Michael; Feng, Gang

2014-09-01

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.

Open and Distance Learning Today. Routledge Studies in Distance Education Series.

Science.gov (United States)

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…

Technology-Enhanced Learning in Developing Nations: A review

Directory of Open Access Journals (Sweden)

Shalni Gulati

2008-02-01

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?

Challenges in Developing XML-Based Learning Repositories

Science.gov (United States)

Auksztol, Jerzy; Przechlewski, Tomasz

There is no doubt that modular design has many advantages, including the most important ones: reusability and cost-effectiveness. In an e-leaming community parlance the modules are determined as Learning Objects (LOs) [11]. An increasing amount of learning objects have been created and published online, several standards has been established and multiple repositories developed for them. For example Cisco Systems, Inc., "recognizes a need to move from creating and delivering large inflexible training courses, to database-driven objects that can be reused, searched, and modified independent of their delivery media" [6]. The learning object paradigm of education resources authoring is promoted mainly to reduce the cost of the content development and to increase its quality. A frequently used metaphor of Learning Objects paradigm compares them to Lego Logs or objects in Object-Oriented program design [25]. However a metaphor is only an abstract idea, which should be turned to something more concrete to be usable. The problem is that many papers on LOs end up solely in metaphors. In our opinion Lego or OO metaphors are gross oversimplificatation of the problem as there is much easier to develop Lego set or design objects in OO program than develop truly interoperable, context-free learning content1.

Time-series prediction and applications a machine intelligence approach

CERN Document Server

Konar, Amit

2017-01-01

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at...

Learning Joomla! 3 extension development

CERN Document Server

Plummer, Tim

2013-01-01

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

Clinical anatomy e-cases: a five-year follow-up of learning analytics.

Science.gov (United States)

Perumal, Vivek; Butson, Russell; Blyth, Phil; Daniel, Ben

2017-01-27

This article explores the development and user experiences of a supplementary e-learning resource (clinical anatomy e-cases) for medical students, across a five-year teaching period. A series of online supplementary e-learning resources (the clinical anatomy e-cases) were developed and introduced to the regional and clinical anatomy module of the medicine course. Usage analytics were collected online from a cohort of third-year medical students and analysed to gain a better understanding of how students utilised these resources. Key results showed that the students used the supplementary learning resource during and outside regular teaching hours that includes a significant access during holidays. Analysis also suggested that the resources were frequently accessed during examination periods and during subsequent clinical study years (fourth or fifth years of medicine course). Increasing interest and positive feedback from students has led to the development of a further series of e-cases. Tailor-made e-learning resources promote clinical anatomy learning outside classroom hours and make supplementary learning a 24/7 task.

Child Development: An Active Learning Approach

Science.gov (United States)

Levine, Laura E.; Munsch, Joyce

2010-01-01

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

Aligning Theory and Design: The Development of an Online Learning Intervention to Teach Evidence-based Practice for Maximal Reach.

Science.gov (United States)

Delagran, Louise; Vihstadt, Corrie; Evans, Roni

2015-09-01

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.

Predicting chaotic time series

International Nuclear Information System (INIS)

Farmer, J.D.; Sidorowich, J.J.

1987-01-01

We present a forecasting technique for chaotic data. After embedding a time series in a state space using delay coordinates, we ''learn'' the induced nonlinear mapping using local approximation. This allows us to make short-term predictions of the future behavior of a time series, using information based only on past values. We present an error estimate for this technique, and demonstrate its effectiveness by applying it to several examples, including data from the Mackey-Glass delay differential equation, Rayleigh-Benard convection, and Taylor-Couette flow

The Development of Associate Learning in School Age Children

Science.gov (United States)

Harel, Brian T.; Pietrzak, Robert H.; Snyder, Peter J.; Thomas, Elizabeth; Mayes, Linda C.; Maruff, Paul

2014-01-01

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

The development of associate learning in school age children.

Directory of Open Access Journals (Sweden)

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.

Learning, Motivation, and Transfer: Successful Teacher Professional Development

Science.gov (United States)

McDonald, Lex

2012-01-01

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,…

Interpretable Categorization of Heterogeneous Time Series Data

Science.gov (United States)

Lee, Ritchie; Kochenderfer, Mykel J.; Mengshoel, Ole J.; Silbermann, Joshua

2017-01-01

We analyze data from simulated aircraft encounters to validate and inform the development of a prototype aircraft collision avoidance system. The high-dimensional and heterogeneous time series dataset is analyzed to discover properties of near mid-air collisions (NMACs) and categorize the NMAC encounters. Domain experts use these properties to better organize and understand NMAC occurrences. Existing solutions either are not capable of handling high-dimensional and heterogeneous time series datasets or do not provide explanations that are interpretable by a domain expert. The latter is critical to the acceptance and deployment of safety-critical systems. To address this gap, we propose grammar-based decision trees along with a learning algorithm. Our approach extends decision trees with a grammar framework for classifying heterogeneous time series data. A context-free grammar is used to derive decision expressions that are interpretable, application-specific, and support heterogeneous data types. In addition to classification, we show how grammar-based decision trees can also be used for categorization, which is a combination of clustering and generating interpretable explanations for each cluster. We apply grammar-based decision trees to a simulated aircraft encounter dataset and evaluate the performance of four variants of our learning algorithm. The best algorithm is used to analyze and categorize near mid-air collisions in the aircraft encounter dataset. We describe each discovered category in detail and discuss its relevance to aircraft collision avoidance.

RUVIVAL Publication Series Volume 3

OpenAIRE

Behrendt, Joachim; Fröndhoff, Dario; Munoz Ardila, Andrea; Orlina, Maria Monina; Rueda Morales, Máryeluz; Schaldach, Ruth; Schaldach, Ruth; Otterpohl, Ralf

2018-01-01

RUVIVAL Publication Series is a compilation of literature reviews on topics concerned with the revitalisation of rural areas. RUVIVAL Publication Series is part of the e-learning project RUVIVAL and each of the three contributions in this publication is connected to further interactive multimedia material, which can be reached under www.ruvival.de. The first literature review is concerned with urine utilisation as a fertiliser in agriculture. Urine contains four important nutrients for pla...

Variable Selection in Time Series Forecasting Using Random Forests

Directory of Open Access Journals (Sweden)

Hristos Tyralis

2017-10-01

Full Text Available Time series forecasting using machine learning algorithms has gained popularity recently. Random forest is a machine learning algorithm implemented in time series forecasting; however, most of its forecasting properties have remained unexplored. Here we focus on assessing the performance of random forests in one-step forecasting using two large datasets of short time series with the aim to suggest an optimal set of predictor variables. Furthermore, we compare its performance to benchmarking methods. The first dataset is composed by 16,000 simulated time series from a variety of Autoregressive Fractionally Integrated Moving Average (ARFIMA models. The second dataset consists of 135 mean annual temperature time series. The highest predictive performance of RF is observed when using a low number of recent lagged predictor variables. This outcome could be useful in relevant future applications, with the prospect to achieve higher predictive accuracy.

Distance Learning Plan Development: Initiating Organizational Structures

National Research Council Canada - National Science Library

Poole, Clifton

1998-01-01

.... 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...

M-Learning Adoption: A Perspective from a Developing Country

Directory of Open Access Journals (Sweden)

Shakeel Iqbal

2012-06-01

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.

Developing a Holistic Approach for E-Learning Accessibility

Directory of Open Access Journals (Sweden)

Brian Kelly

2004-10-01

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.

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection.

Science.gov (United States)

Liu, Zitao; Hauskrecht, Milos

2017-11-01

Building of an accurate predictive model of clinical time series for a patient is critical for understanding of the patient condition, its dynamics, and optimal patient management. Unfortunately, this process is not straightforward. First, patient-specific variations are typically large and population-based models derived or learned from many different patients are often unable to support accurate predictions for each individual patient. Moreover, time series observed for one patient at any point in time may be too short and insufficient to learn a high-quality patient-specific model just from the patient's own data. To address these problems we propose, develop and experiment with a new adaptive forecasting framework for building multivariate clinical time series models for a patient and for supporting patient-specific predictions. The framework relies on the adaptive model switching approach that at any point in time selects the most promising time series model out of the pool of many possible models, and consequently, combines advantages of the population, patient-specific and short-term individualized predictive models. We demonstrate that the adaptive model switching framework is very promising approach to support personalized time series prediction, and that it is able to outperform predictions based on pure population and patient-specific models, as well as, other patient-specific model adaptation strategies.

Teachers' Learning in School-Based Development

Science.gov (United States)

Postholm, May Britt; Waege, Kjersti

2016-01-01

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…

E-Learning and Comprehensive School and Kindergarten Development

DEFF Research Database (Denmark)

Hansen, Line Skov; Hansen, Ole; Guttorm Andersen, Pia

2012-01-01

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....

DEVELOPMENT OF USABILITY CRITERIA FOR E-LEARNING CONTENT DEVELOPMENT SOFTWARE

Directory of Open Access Journals (Sweden)

Serkan ÇELIK

2012-04-01

Full Text Available 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 towards the definition of criteria for evaluating e-learning tools. A preliminary user study involving a group of pre-service instructional designers, observed during their interaction with e-learning tools, is reported. Throughout the study, specific usability attributes of these e-learning tools were identified. Participants were assigned to rate the importance of functional and pedagogical competences proposed during the criteria development phase. The findings of the study revealed 31 evaluation criteria under the headings of technical, media, and assessment competences. Among the groups of benchmarks proposed and rated by the users, assessment was considered as the most important one while technical and media features were even.The following step was actual implemention of the usability criteria into evaluation of fifteen leading software used in e-learning across the world. Mostly, tools were observed as having limitations in terms of capabilities. Comparing to the other software, Captivate, Softchalk, and Lectora were regarded as outstanding tools by the participants. Following the discussion on the limitations of the study, some implications for further research were proposed.

Organisational learning by way of organisational development

DEFF Research Database (Denmark)

Elkjær, Bente

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....

Context-Aware Writing Support for SNS: Connecting Formal and Informal Learning

Science.gov (United States)

Waragai, Ikumi; Kurabayashi, Shuichi; Ohta, Tatsuya; Raindl, Marco; Kiyoki, Yasushi; Tokuda, Hideyuki

2014-01-01

This paper presents another stage in a series of research efforts by the authors to develop an experience-connected mobile language learning environment, bridging formal and informal learning. Building on a study in which the authors tried to connect classroom learning (of German in Japan) with learners' real life experiences abroad by having…

The Impact on Career Development of Learning Opportunities and Learning Behavior at Work.

Science.gov (United States)

Van der Sluis, Lidewey E. C.; Poell, Rob E.

2003-01-01

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,…

The development of metacognitive-based genetic learning ...

African Journals Online (AJOL)

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.

Development of Usability Criteria for E-Learning Content Development Software

Science.gov (United States)

Celik, Serkan

2012-01-01

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…

The development of mathematics courseware for learning line and angle

Science.gov (United States)

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

2015-05-01

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

Effect of clinical practice on self-learning development ability

International Nuclear Information System (INIS)

Kim, Jung Hyun; Yang, Han Joon; Kim, Nak Sang

2017-01-01

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

Effect of clinical practice on self-learning development ability

Energy Technology Data Exchange (ETDEWEB)

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)

2017-09-15

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.

Learning challenges and sustainable development: A methodological perspective.

Science.gov (United States)

Seppänen, Laura

2017-01-01

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.

Assessment Guiding Learning: Developing Graduate Qualities in an Experiential Learning Programme

Science.gov (United States)

Clements, Michael David; Cord, Bonnie Amelia

2013-01-01

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…

Investigating the experience: A case study of a science professional development program based on Kolb's experiential learning model

Science.gov (United States)

Davis, Brian L.

Professional development for educators has been defined as the process or processes by which teachers achieve higher levels of professional competence and expand their understanding of self, role, context and career (Duke and Stiggins, 1990). Currently, there is limited research literature that examines the effect a professional development course, which uses David Kolb's experiential learning model, has on the professional growth and teaching practice of middle school science teachers. The purpose of this interpretive case study is to investigate how three science teachers who participated in the Rivers to Reef professional development course interpreted the learning experience and integrated the experience into their teaching practice. The questions guiding this research are (1) What is the relationship between a professional development course that uses an experiential learning model and science teaching practice? (2) How do the Rivers to Reef participants reflect on and describe the course as a professional growth experience? The creation of the professional development course and the framework for the study were established using David Kolb's (1975) experiential learning theory and the reflection process model designed by David Boud (1985). The participants in the study are three middle school science teachers from schools representing varied settings and socioeconomic levels in the southeastern United States. Data collected used the three-interview series interview format designed by Dolbere and Schuman (Seidman, 1998). Data was analyzed for the identification of common categories related to impact on science teaching practice and professional growth. The major finding of this study indicates the years of teaching experience of middle school science teachers significantly influences how they approach professional development, what and how they learn from the experience, and the ways in which the experience influences their teaching practices.

An Analytic Framework to Support E.Learning Strategy Development

Science.gov (United States)

Marshall, Stephen J.

2012-01-01

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…

Collaborative Learning: Cognitive and Computational Approaches. Advances in Learning and Instruction Series.

Science.gov (United States)

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)…

Sustained Professional Development on Cooperative Learning: Impact on Six Teachers' Practices and Students' Learning.

Science.gov (United States)

Goodyear, Victoria A

2017-03-01

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.

Rheumatoid Arthritis Educational Video Series

Medline Plus

Full Text Available ... and what other conditions are associated with RA. Learning more about your condition will allow you to ... Arthritis Educational Video Series Psoriatic Arthritis 101 2010 E.S.C.A.P.E. Study Patient Update Transitioning ...

Design Framework for an Adaptive MOOC Enhanced by Blended Learning

DEFF Research Database (Denmark)

Gynther, Karsten

2016-01-01

The research project has developed a design framework for an adaptive MOOC that complements the MOOC format with blended learning. The design framework consists of a design model and a series of learning design principles which can be used to design in-service courses for teacher professional...

Intergenerational learning in organizations : An effective way to stimulate older employee learning and development

NARCIS (Netherlands)

dr. Donald Ropes

2014-01-01

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

Internationalizing Student Learning and Development

Science.gov (United States)

Roberts, Dennis C.; Komives, Susan R.

2016-01-01

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.

Voice Blog: An Exploratory Study of Language Learning

Directory of Open Access Journals (Sweden)

Yu-Chih Sun

2009-06-01

Full Text Available This study uses voice blogs as a platform for an extensive study of language learners’ speaking skills. To triangulate the findings, the study collected data by surveying the learners’ blogging processes, investigating learning strategies, and conducting retrospective interviews. The results revealed that students (a developed a series of blogging stages, including conceptualizing, brainstorming, articulation, monitoring, and evaluating, and used a wide variety of strategies to cope with blogging-related difficulties, and (b perceived blogging as a means of learning, self-presentation, information exchange, and social networking. Findings suggest that blogs can constitute a dynamic forum that fosters extensive practice, learning motivation, authorship, and development of learning strategies.

Training, Development, Education and Learning: Different or the Same?

Science.gov (United States)

Garavan, Thomas N.

1997-01-01

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)

Profiling and Utilizing Learning Style. NASSP Learning Style Series.

Science.gov (United States)

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…

Conditional time series forecasting with convolutional neural networks

NARCIS (Netherlands)

A. Borovykh (Anastasia); S.M. Bohte (Sander); C.W. Oosterlee (Cornelis)

2017-01-01

textabstractForecasting financial time series using past observations has been a significant topic of interest. While temporal relationships in the data exist, they are difficult to analyze and predict accurately due to the non-linear trends and noise present in the series. We propose to learn these

Time series forecasting based on deep extreme learning machine

NARCIS (Netherlands)

Guo, Xuqi; Pang, Y.; Yan, Gaowei; Qiao, Tiezhu; Yang, Guang-Hong; Yang, Dan

2017-01-01

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

Children's developing understanding of what and how they learn.

Science.gov (United States)

Sobel, David M; Letourneau, Susan M

2015-04-01

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.

Developing the master learner: applying learning theory to the learner, the teacher, and the learning environment.

Science.gov (United States)

Schumacher, Daniel J; Englander, Robert; Carraccio, Carol

2013-11-01

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.

Cardiac e-learning: Development of a web-based implantable cardioverter defibrillator educational system.

Science.gov (United States)

Hickey, Kathleen T; Johnson, Mary P; Biviano, Angelo; Aboelela, Sally; Thomas, Tami; Bakken, Suzanne; Garan, Hasan; Zimmerman, John L; Whang, William

2011-04-01

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.

Developing mathematics learning set for special-needs junior high school student oriented to learning interest and achievement

Directory of Open Access Journals (Sweden)

Ai Sadidah

2016-11-01

Full Text Available This study aims to produce a mathematics learning set for special-needs students (mathematical learning disability and mathematically gifted of Junior High School Grade VIII Second Semester oriented to learning interests and achievement which is valid, practical, and effective. This study was a research and development study using the Four-D development model consisting of four stages: (1 define, (2 design, (3 develop, and (4 disseminate. The quality of learning set consisting of the following three criterions: (1 validity, (2 practicality, and (3 effectiveness.  The data analysis technique used in this study is a descriptive quantitative analysis. The research produced learning set consisting of lesson plans and student worksheets. The result of the research shows that: (1 the learning set fulfill the valid criteria base on experts’ appraisal; (2 the learning set fulfill the practical criterion base on teacher’s and students’ questionnaire, and observation of learning implementation; (3 the learning set fulfill the effectiveness criterion base on learning interest and achievement.

Development of a Mechanical Engineering Test Item Bank to promote learning outcomes-based education in Japanese and Indonesian higher education institutions

Directory of Open Access Journals (Sweden)

Jeffrey S. Cross

2017-11-01

Full Text Available Following on the 2008-2012 OECD Assessment of Higher Education Learning Outcomes (AHELO feasibility study of civil engineering, in Japan a mechanical engineering learning outcomes assessment working group was established within the National Institute of Education Research (NIER, which became the Tuning National Center for Japan. The purpose of the project is to develop among engineering faculty members, common understandings of engineering learning outcomes, through the collaborative process of test item development, scoring, and sharing of results. By substantiating abstract level learning outcomes into concrete level learning outcomes that are attainable and assessable, and through measuring and comparing the students’ achievement of learning outcomes, it is anticipated that faculty members will be able to draw practical implications for educational improvement at the program and course levels. The development of a mechanical engineering test item bank began with test item development workshops, which led to a series of trial tests, and then to a large scale test implementation in 2016 of 348 first semester master’s students in 9 institutions in Japan, using both multiple choice questions designed to measure the mastery of basic and engineering sciences, and a constructive response task designed to measure “how well students can think like an engineer.” The same set of test items were translated from Japanese into to English and Indonesian, and used to measure achievement of learning outcomes at Indonesia’s Institut Teknologi Bandung (ITB on 37 rising fourth year undergraduate students. This paper highlights how learning outcomes assessment can effectively facilitate learning outcomes-based education, by documenting the experience of Japanese and Indonesian mechanical engineering faculty members engaged in the NIER Test Item Bank project.First published online: 30 November 2017

Lessons Learned In Developing The VACIS Products

International Nuclear Information System (INIS)

Orphan, Victor J.

2011-01-01

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.

Grooming. Learning Activity Package.

Science.gov (United States)

Stark, Pamela

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

professional development through informal learning' : workshop

NARCIS (Netherlands)

dr.ir. Quinta Kools

2013-01-01

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

Cognitive components underpinning the development of model-based learning.

Science.gov (United States)

Potter, Tracey C S; Bryce, Nessa V; Hartley, Catherine A

2017-06-01

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.

Plasticity-related genes in brain development and amygdala-dependent learning.

Science.gov (United States)

Ehrlich, D E; Josselyn, S A

2016-01-01

Learning about motivationally important stimuli involves plasticity in the amygdala, a temporal lobe structure. Amygdala-dependent learning involves a growing number of plasticity-related signaling pathways also implicated in brain development, suggesting that learning-related signaling in juveniles may simultaneously influence development. Here, we review the pleiotropic functions in nervous system development and amygdala-dependent learning of a signaling pathway that includes brain-derived neurotrophic factor (BDNF), extracellular signaling-related kinases (ERKs) and cyclic AMP-response element binding protein (CREB). Using these canonical, plasticity-related genes as an example, we discuss the intersection of learning-related and developmental plasticity in the immature amygdala, when aversive and appetitive learning may influence the developmental trajectory of amygdala function. We propose that learning-dependent activation of BDNF, ERK and CREB signaling in the immature amygdala exaggerates and accelerates neural development, promoting amygdala excitability and environmental sensitivity later in life. © 2015 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

DEVELOPMENT OF AN E-LEARNING WEB PORTAL: The Foss Approach

Directory of Open Access Journals (Sweden)

Azeta A. A.

2008-04-01

Full Text Available With the vast development of various technologies, learning today is no longer confined to classrooms with lecture delivery as the only method of conveying knowledge, rather, an electronic means of learning has continued to evolve. Electronic learning (e-Learning, which facilitates education using communications networks, has made learning possible from anywhere at anytime using the Internet, wide area networks or local area networks. Notably, e-Learning applications which have now become central to the learning process may be developed using proprietary programming tools and the process of acquiring and using them to develop large software application is not only complex but require a huge sum of money. A viable alternative is to utilize the open source software platform that allows software engineers and institutions the right to reuse, study, distribute and localize to satisfy user’s requirements. This paper provides an overview of e-Learning and the open source domain as well as discusses how open source can be used to speedily realizes the development of an e-Learning application in a web environment using an adaptive process. Specifically, the authors described their preliminary experiment of implementing an open source e-Learning platform by adapting free PHP source code and MySQL database to suit an electronic class bulletin board.

Developing a Mobile Learning Management System for Outdoors Nature Science Activities Based on 5E Learning Cycle

Science.gov (United States)

Lai, Ah-Fur; Lai, Horng-Yih; Chuang, Wei-Hsiang; Wu, Zih-Heng

2015-01-01

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…

Developing a Code of Practice for Learning Analytics

Science.gov (United States)

Sclater, Niall

2016-01-01

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…

Leadership Skills Development Through Service Learning

Directory of Open Access Journals (Sweden)

James A. Ejiwale

2013-08-01

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  the participants.

Learning and Celebrating: The Glamour of Design Lecture Series

Science.gov (United States)

Popov, Lubomir

2013-01-01

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,…

Statistical learning across development: Flexible yet constrained

Directory of Open Access Journals (Sweden)

Lauren eKrogh

2013-01-01

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.

On-the-Job Training and Social Learning Theory. A Literature Review

Science.gov (United States)

1980-05-01

and discussed by Albert Bandura (47). The principles of social learning theory and learning from models are first described. Then a series of rules...developed by Bandura and his students (47, 48, 49) to be the most useful theory to account for observational learning and to provide a basis for...Learning Theory and Its Application 47. Bandura , A. Principles of Behavior Modification, New York: Holt, Rinehart & Winston, 1969. 48. Bandura , A

E-learning and professional development--never too old to learn.

Science.gov (United States)

Gill, Anthony

A growing concern among healthcare professionals is the need to continually update knowledge and skills in order to enhance clinical practice. It is recognized that there are major concerns about recruitment and retention of staff within health care, and an increasing need for greater emphasis on valuing the existing workforce. This article contributes to the debate about the role of e-learning in conjunction with continuing professional development (CPD) and personal professional development. It describes how healthcare professionals utilized an innovative, self-managed, pick-up and put-down distance learning module delivered online or by CD-ROM. Staff enrolled on the module were encouraged to complete a questionnaire online or by post upon completion of each unit; to enhance validity, telephone interviews were also conducted with selected staff. Results indicate that participants showed some improvement in all categories, especially patient care where 90% of staff reported some improvement after completing the course. This particular method of teaching and learning was shown to be favoured by staff as a method of CPD, and thus has the potential to enhance patient care.

Cross-situational statistical word learning in young children.

Science.gov (United States)

Suanda, Sumarga H; Mugwanya, Nassali; Namy, Laura L

2014-10-01

Recent empirical work has highlighted the potential role of cross-situational statistical word learning in children's early vocabulary development. In the current study, we tested 5- to 7-year-old children's cross-situational learning by presenting children with a series of ambiguous naming events containing multiple words and multiple referents. Children rapidly learned word-to-object mappings by attending to the co-occurrence regularities across these ambiguous naming events. The current study begins to address the mechanisms underlying children's learning by demonstrating that the diversity of learning contexts affects performance. The implications of the current findings for the role of cross-situational word learning at different points in development are discussed along with the methodological implications of employing school-aged children to test hypotheses regarding the mechanisms supporting early word learning. Copyright © 2014 Elsevier Inc. All rights reserved.

Determining Your Potential as an Entrepreneur. PACE Revised. Level 2. Unit 2. Research & Development Series No. 240BB2.

Science.gov (United States)

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…

Development of Simulink-Based SiC MOSFET Modeling Platform for Series Connected Devices

DEFF Research Database (Denmark)

Tsolaridis, Georgios; Ilves, Kalle; Reigosa, Paula Diaz

2016-01-01

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....

Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum.

Science.gov (United States)

Mala-Maung; Abdullah, Azman; Abas, Zoraini W

2011-12-01

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.

Developing critical reflection for professional practice through problem-based learning.

Science.gov (United States)

Williams, B

2001-04-01

To explore the influence of current learning traditions in nursing on the development of reflection and critical reflection as professional practice skills and to offer suggestions for nursing education that will specifically facilitate the development of critical reflection. ORGANIZATIONAL CONSTRUCTS: Mezirow's transformative learning theory, Barrows conceptualization of problem-based learning (PBL). Integrative literature review of published literature related to nursing, health science education and professional education from 1983-2000. Professional education scholars concur that specialized knowledge is clearly essential for professional practice, however, they also suggest that self-consciousness (reflection) and continual self-critique (critical reflection) are crucial to continued competence. While strategies to facilitate reflection have been outlined in the literature, specific strategies to facilitate the development of critical reflection and implications for nursing education are much less clear. Advocates of reflective and critically reflective practice suggest that the development of these abilities should be inextricably linked to professional development and can be developed through active repeated guided practice. In health care, PBL based on constructivism, has been identified as one way to facilitate the development of these skills. Nursing learners exposed to PBL develop the ability to be reflective and critically reflective in their learning and acquire the knowledge and skill within the discipline of nursing by encountering key professional practice situations as the stimulus and focus of their classroom learning. The learners' ability to be both reflective and critically reflective in their learning is developed by critical questioning of the faculty tutor during situational analysis, learning need determination, application of knowledge, critique of resources and personal problem-solving processes, and summarization of what was learned.

Teach Your Children: Learning Differences. Final Report.

Science.gov (United States)

Fisher, Allison L.; Willard, Penny

A three-part series of evening workshops was designed to help adult basic education (ABE) parents identify learning styles and develop communication and advocacy skills, assertiveness, and self-esteem. At the workshops, instructors from the center presented an adaptation of curriculum on self-esteem for parenting developed by the Center for…

Considerations for Task Analysis Methods and Rapid E-Learning Development Techniques

Directory of Open Access Journals (Sweden)

Dr. Ismail Ipek

2014-02-01

Full Text Available The purpose of this paper is to provide basic dimensions for rapid training development in e-learning courses in education and business. Principally, it starts with defining task analysis and how to select tasks for analysis and task analysis methods for instructional design. To do this, first, learning and instructional technologies as visions of the future were discussed. Second, the importance of task analysis methods in rapid e-learning was considered, with learning technologies as asynchronous and synchronous e-learning development. Finally, rapid instructional design concepts and e-learning design strategies were defined and clarified with examples, that is, all steps for effective task analysis and rapid training development techniques based on learning and instructional design approaches were discussed, such as m-learning and other delivery systems. As a result, the concept of task analysis, rapid e-learning development strategies and the essentials of online course design were discussed, alongside learner interface design features for learners and designers.

State-of-the-art Hydrology Education: Development of Windows-based and Web-based Interactive Teaching-Learning Software

Science.gov (United States)

Chu, X.

2011-12-01

This study, funded by the NSF CAREER program, focuses on developing new methods to quantify microtopography-controlled overland flow processes and integrating the cutting-edge hydrologic research with all-level education and outreach activities. To achieve the educational goal, an interactive teaching-learning software package has been developed. This software, with enhanced visualization capabilities, integrates the new modeling techniques, computer-guided learning processes, and education-oriented tools in a user-friendly interface. Both Windows-based and web-based versions have been developed. The software is specially designed for three major user levels: elementary level (Level 1: K-12 and outreach education), medium level (Level 2: undergraduate education), and advanced level (Level 3: graduate education). Depending on the levels, users are guided to different educational systems. Each system consists of a series of mini "libraries" featured with movies, pictures, and documentation that cover fundamental theories, varying scale experiments, and computer modeling of overland flow generation, surface runoff, and infiltration processes. Testing and practical use of this educational software in undergraduate and graduate teaching demonstrate its effectiveness to promote students' learning and interest in hydrologic sciences. This educational software also has been used as a hydrologic demonstration tool for K-12 students and Native American students through the Nurturing American Tribal Undergraduate Research Education (NATURE) program and Science, Technology, Engineering and Mathematics (STEM) outreach activities.

Developing End-User Innovation from Circuits of Learning

Science.gov (United States)

Fosstenløkken, Siw M.

2015-01-01

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…

Investigating Learning through Work: The Development of the "Provider Learning Environment Scale"

Science.gov (United States)

Chappell, Clive; Hawke, Geof

2008-01-01

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…

A Unified Method of Finding Laplace Transforms, Fourier Transforms, and Fourier Series. [and] An Inversion Method for Laplace Transforms, Fourier Transforms, and Fourier Series. Integral Transforms and Series Expansions. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 324 and 325.

Science.gov (United States)

Grimm, C. A.

This document contains two units that examine integral transforms and series expansions. In the first module, the user is expected to learn how to use the unified method presented to obtain Laplace transforms, Fourier transforms, complex Fourier series, real Fourier series, and half-range sine series for given piecewise continuous functions. In…

Exploring Electrochromics: A Series of Eye-Catching Experiments to Introduce Students to Multidisciplinary Research

Science.gov (United States)

Small, Leo J.; Wolf, Steven; Spoerke, Erik D.

2014-01-01

Introducing students to a multidisciplinary research laboratory presents challenges in terms of learning specific technical skills and concepts but also with respect to integrating different technical elements to form a coherent picture of the research. Here we present a multidisciplinary series of experiments we have developed in the Electronic,…

Developing academic literacy through self-regulated online learning

Directory of Open Access Journals (Sweden)

Emmaline Lear

2016-03-01

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.

Development of Efficient Authoring Software for e-Learning Contents

Science.gov (United States)

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.

Does Financial Development Reduce CO2 Emissions in Malaysian Economy? A Time Series Analysis

OpenAIRE

Shahbaz, Muhammad; Solarin, Sakiru Adebola; Mahmood, Haider

2012-01-01

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...

Excellence in Physics Education Award Talk: Curriculum Development for Active Learning using Real Time Graphing and Data Collection Tools

Science.gov (United States)

Laws, Priscilla

2010-02-01

In June 1986 Ronald Thornton (at the Tufts University Center for Science and Mathematics Teaching) and Priscilla Laws (at Dickinson College) applied independently for grants to develop curricular materials based on both the outcomes of Physics Education Research and the use of Microcomputer Based Laboratory Tools (MBL) developed by Robert Tinker, Ron Thornton and others at Technical Education Research Centers (TERC). Thornton proposed to develop a series of Tools for Scientific Thinking (TST) laboratory exercises to address known learning difficulties using carefully sequenced MBL observations. These TST laboratories were to be beta tested at several types of institutions. Laws proposed to develop a Workshop Physics Activity Guide for a 2 semester calculus-based introductory course sequence centering on MBL-based guided inquiry. Workshop Physics was to be designed to replace traditional lectures and separate labs in relatively small classes and was to be tested at Dickinson College. In September 1986 a project officer at the Fund for Post-Secondary Education (FIPSE) awarded grants to Laws and Thornton provided that they would collaborate. David Sokoloff (at the University of Oregon) joined Thornton to develop and test the TST laboratories. This talk will describe the 23 year collaboration between Thornton, Laws, and Sokoloff that led to the development of a suite of Activity Based Physics curricular materials, new apparatus and enhanced computer tools for real time graphing, data collection and mathematical modeling. The Suite includes TST Labs, the Workshop Physics Activity Guide, RealTime Physics Laboratory Modules, and a series of Interactive Lecture Demonstrations. A textbook and a guide to using the Suite were also developed. The vital importance of obtaining continued grant support, doing continuous research on student learning, collaborating with instructors at other institutions, and forging relationships with vendors and publishers will be described. )

Ten-Competence: Life-Long Competence Development and Learning

NARCIS (Netherlands)

Koper, Rob; Specht, Marcus

2006-01-01

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.

Development of Scientific Approach Based on Discovery Learning Module

Science.gov (United States)

Ellizar, E.; Hardeli, H.; Beltris, S.; Suharni, R.

2018-04-01

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

Self-Regulation in Language Learning.

Science.gov (United States)

Tseng, Wen-Ta; Liu, Heidi; Nix, John-Michael L

2017-04-01

Self-regulated learning has been a widely researched subject for decades in educational psychology. Different instruments have been developed to understand learners' self-regulated learning in a specific subject domain. This study developed a measurement scale to assess English-as-a-foreign-language learners' self-regulatory capacity in English language learning and further examined the effects of gender on English-as-a-foreign-language learners' self-regulatory capacity. A series of psychometric analyses including exploratory factor analysis, confirmatory factor analysis, and full structural equation modeling were undertaken to answer the research questions raised. The findings suggest that the scale can attain high reliability and strong validity in two different samplings, and the underlying construct of self-regulation in English language learning is shown to be multidimensional with a significant impact by gender. Theoretical and pedagogical implications are further put forward in light of the research findings.

A learning arena for knowledge development by the use of didactics and situated learning

DEFF Research Database (Denmark)

Madsen, Erik Skov; Riis, Jens Ove; Wæhrens, Brian Vejrum

2010-01-01

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....

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

Science.gov (United States)

2009-05-01

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

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory

Directory of Open Access Journals (Sweden)

Haimin Yang

2017-01-01

Full Text Available Online time series prediction is the mainstream method in a wide range of fields, ranging from speech analysis and noise cancelation to stock market analysis. However, the data often contains many outliers with the increasing length of time series in real world. These outliers can mislead the learned model if treated as normal points in the process of prediction. To address this issue, in this paper, we propose a robust and adaptive online gradient learning method, RoAdam (Robust Adam, for long short-term memory (LSTM to predict time series with outliers. This method tunes the learning rate of the stochastic gradient algorithm adaptively in the process of prediction, which reduces the adverse effect of outliers. It tracks the relative prediction error of the loss function with a weighted average through modifying Adam, a popular stochastic gradient method algorithm for training deep neural networks. In our algorithm, the large value of the relative prediction error corresponds to a small learning rate, and vice versa. The experiments on both synthetic data and real time series show that our method achieves better performance compared to the existing methods based on LSTM.

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory.

Science.gov (United States)

Yang, Haimin; Pan, Zhisong; Tao, Qing

2017-01-01

Online time series prediction is the mainstream method in a wide range of fields, ranging from speech analysis and noise cancelation to stock market analysis. However, the data often contains many outliers with the increasing length of time series in real world. These outliers can mislead the learned model if treated as normal points in the process of prediction. To address this issue, in this paper, we propose a robust and adaptive online gradient learning method, RoAdam (Robust Adam), for long short-term memory (LSTM) to predict time series with outliers. This method tunes the learning rate of the stochastic gradient algorithm adaptively in the process of prediction, which reduces the adverse effect of outliers. It tracks the relative prediction error of the loss function with a weighted average through modifying Adam, a popular stochastic gradient method algorithm for training deep neural networks. In our algorithm, the large value of the relative prediction error corresponds to a small learning rate, and vice versa. The experiments on both synthetic data and real time series show that our method achieves better performance compared to the existing methods based on LSTM.

The Development of a Comprehensive and Coherent Theory of Learning

Science.gov (United States)

Illeris, Knud

2015-01-01

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…

Foundations of Sequence-to-Sequence Modeling for Time Series

OpenAIRE

Kuznetsov, Vitaly; Mariet, Zelda

2018-01-01

The availability of large amounts of time series data, paired with the performance of deep-learning algorithms on a broad class of problems, has recently led to significant interest in the use of sequence-to-sequence models for time series forecasting. We provide the first theoretical analysis of this time series forecasting framework. We include a comparison of sequence-to-sequence modeling to classical time series models, and as such our theory can serve as a quantitative guide for practiti...

Facilitation of learning: part 1.

Science.gov (United States)

Warburton, Tyler; Trish, Houghton; Barry, Debbie

2016-04-06

This article, the fourth in a series of 11, discusses the context for the facilitation of learning. It outlines the main principles and theories for understanding the process of learning, including examples which link these concepts to practice. The practical aspects of using these theories in a practice setting will be discussed in the fifth article of this series. Together, these two articles will provide mentors and practice teachers with knowledge of the learning process, which will enable them to meet the second domain of the Nursing and Midwifery Council's Standards to Support Learning and Assessment in Practice on facilitation of learning.

Developing E-learning Courses for Mobile Devices

Directory of Open Access Journals (Sweden)

R. Szabados

2007-01-01

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. 

Learning at work: competence development or competence-stress.

Science.gov (United States)

Paulsson, Katarina; Ivergård, Toni; Hunt, Brian

2005-03-01

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.

EMPLOYEE LEARNING AND DEVELOPMENT IN ORGANISATIONS

Directory of Open Access Journals (Sweden)

VNOUČKOVÁ, Lucie

2013-09-01

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.

The Development Of Learning Sets And Research Methodology Module Using Problem Based Learning For Accounting Education Students

OpenAIRE

Thomas, Partono; Nurkhin, Ahmad

2016-01-01

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...

Developing a Blended Learning-Based Method for Problem-Solving in Capability Learning

Science.gov (United States)

Dwiyogo, Wasis D.

2018-01-01

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…

Development of Web-Based Learning Application for Generation Z

Science.gov (United States)

Hariadi, Bambang; Dewiyani Sunarto, M. J.; Sudarmaningtyas, Pantjawati

2016-01-01

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…

DEVELOPMENT AN INSTRUMENT TO MEASURE UNIVERSITY STUDENTS' ATTITUDE TOWARDS E-LEARNING

Directory of Open Access Journals (Sweden)

Vandana MEHRA

2012-01-01

Full Text Available The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning; Ease of e-learning use; Technical and pedagogical support; E-learning stressors ; Pressure to use e-learning.

The Development of Blended-Learning Teaching Portfolio Course Using TBL Approach

Science.gov (United States)

Pardamean, Bens; Prabowo, Harjanto; Muljo, Hery Harjono; Suparyanto, Teddy; Masli, Eryadi K.; Donovan, Jerome

2017-01-01

This article was written to develop a teaching portfolio that helps lecturers maximize the benefits of blended learning, a combination of in-person and online learning, through the use of Team-Based Learning (TBL) teaching and learning approach. Studies show that TBL can provide opportunities in developing teamwork capabilities and enhancing…

Learning through Debate during Problem-Based Learning: An Active Learning Strategy

Science.gov (United States)

Mumtaz, Sadaf; Latif, Rabia

2017-01-01

We explored medical student's views and perceptions of a series of debates conducted during problem-based learning (PBL) practiced as a part of the Spiral curriculum at the Imam Abdulrahman Bin Faisal University, Saudi Arabia. A series of debates were employed during PBL sessions for second-year female medical students, over the period 2014-2016.…

Learning from Toyota: How Action Learning Can Foster Competitive Advantage in New Product Development (NPD)

Science.gov (United States)

Fuchs, Barbara

2007-01-01

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…

Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Science.gov (United States)

Che, Zhengping; Purushotham, Sanjay; Cho, Kyunghyun; Sontag, David; Liu, Yan

2018-04-17

Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values. In time series prediction and other related tasks, it has been noted that missing values and their missing patterns are often correlated with the target labels, a.k.a., informative missingness. There is very limited work on exploiting the missing patterns for effective imputation and improving prediction performance. In this paper, we develop novel deep learning models, namely GRU-D, as one of the early attempts. GRU-D is based on Gated Recurrent Unit (GRU), a state-of-the-art recurrent neural network. It takes two representations of missing patterns, i.e., masking and time interval, and effectively incorporates them into a deep model architecture so that it not only captures the long-term temporal dependencies in time series, but also utilizes the missing patterns to achieve better prediction results. Experiments of time series classification tasks on real-world clinical datasets (MIMIC-III, PhysioNet) and synthetic datasets demonstrate that our models achieve state-of-the-art performance and provide useful insights for better understanding and utilization of missing values in time series analysis.

A transformative perspective on learning and professional development of Afghan physiotherapists.

Science.gov (United States)

Wickford, Jenny; Edwards, Ian; Rosberg, Susanne

2012-05-01

The aim of this article is to explore factors that impacted learning of Afghan physiotherapists in a development project to improve the physiotherapy services in a disability programme implemented by a Swedish nongovernmental organisation in Afghanistan. Participant observation, recorded as field notes, was used to document the process, to gain a better understanding of professional development of physiotherapists in Afghanistan. Field notes were analysed and factors affecting learning were interpreted from a perspective inspired by transformative learning. Various factors were identified: a pattern approach to treatment, linear thinking, and socially oriented decision making affected how new things learned were put into practice; concrete representations and an instrumental view of knowledge characterised learning approaches; language barriers, different interpretations of meaning, and cultural codes challenged communication; and a prescriptive, encouraging approach of the expatriate physiotherapy development worker affected teaching and learning. Working with professional development across cultural borders is challenging, and the identified factors impacting learning can help expatriate physiotherapists in adapting training to the Afghan context. Exploring meaning perspectives and communicative learning could enhance understanding of these factors for both expatriate and Afghan physiotherapists and should be a focus in future development activities.

Games and Simulations in Online Learning: Research and Development Frameworks

Science.gov (United States)

Gibson, David; Aldrich, Clark; Prensky, Marc

2007-01-01

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…

Development of E-Learning Materials for Machining Safety Education

Science.gov (United States)

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.

Learner Characteristic Based Learning Effort Curve Mode: The Core Mechanism on Developing Personalized Adaptive E-Learning Platform

Science.gov (United States)

Hsu, Pi-Shan

2012-01-01

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…

Recursive Bayesian recurrent neural networks for time-series modeling.

Science.gov (United States)

Mirikitani, Derrick T; Nikolaev, Nikolay

2010-02-01

This paper develops a probabilistic approach to recursive second-order training of recurrent neural networks (RNNs) for improved time-series modeling. A general recursive Bayesian Levenberg-Marquardt algorithm is derived to sequentially update the weights and the covariance (Hessian) matrix. The main strengths of the approach are a principled handling of the regularization hyperparameters that leads to better generalization, and stable numerical performance. The framework involves the adaptation of a noise hyperparameter and local weight prior hyperparameters, which represent the noise in the data and the uncertainties in the model parameters. Experimental investigations using artificial and real-world data sets show that RNNs equipped with the proposed approach outperform standard real-time recurrent learning and extended Kalman training algorithms for recurrent networks, as well as other contemporary nonlinear neural models, on time-series modeling.

Developing an M-Learning Application for iOS

Directory of Open Access Journals (Sweden)

Paul POCATILU

2013-01-01

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.

Perceptions of Career Development Learning and Work-Integrated Learning in Australian Higher Education

Science.gov (United States)

McIlveen, Peter; Brooks, Sally; Lichtenberg, Anna; Smith, Martin; Torjul, Peter; Tyler, Joanne

2011-01-01

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…

Oral Hygiene. Learning Activity Package.

Science.gov (United States)

Hime, Kirsten

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

Development of Interactive Media for ICT Learning at Elementary School Based on Student Self Learning

Directory of Open Access Journals (Sweden)

Sri Huning Anwariningsih

2013-05-01

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.

Developing Learning Objectives for Accounting Ethics Using Bloom's Taxonomy

Science.gov (United States)

Kidwell, Linda A.; Fisher, Dann G.; Braun, Robert L.; Swanson, Diane L.

2013-01-01

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…

Painting Cloud Nine: A Study of Magritte's Bottle Series.

Science.gov (United States)

Turner, Dianne

2000-01-01

Provides background information on Rene Magritte and his work. Offers an activity in which elementary and middle school students can learn about Magritte's sky and silhouette series of painted wine bottles. Explains that the lesson should be used when students are learning about poetry in language arts classes. (CMK)

Curriculum Issues: Teaching and Learning for Sustainable Development in Developing Countries--Zimbabwe Case Study

Science.gov (United States)

Dambudzo, Ignatius Isaac

2015-01-01

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…

Embedding reflection and learning into agile software development

DEFF Research Database (Denmark)

Babb, Jeffry; Hoda, Rashina; Nørbjerg, Jacob

2014-01-01

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....

Development switch in neural circuitry underlying odor-malaise learning.

Science.gov (United States)

Shionoya, Kiseko; Moriceau, Stephanie; Lunday, Lauren; Miner, Cathrine; Roth, Tania L; Sullivan, Regina M

2006-01-01

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.

Working memory supports inference learning just like classification learning.

Science.gov (United States)

Craig, Stewart; Lewandowsky, Stephan

2013-08-01

Recent research has found a positive relationship between people's working memory capacity (WMC) and their speed of category learning. To date, only classification-learning tasks have been considered, in which people learn to assign category labels to objects. It is unknown whether learning to make inferences about category features might also be related to WMC. We report data from a study in which 119 participants undertook classification learning and inference learning, and completed a series of WMC tasks. Working memory capacity was positively related to people's classification and inference learning performance.

A summary of lessons learned activities conducted at the OECD Halden Reactor Project

International Nuclear Information System (INIS)

Hallbert, B.P.

1997-01-01

A series of lessons learned studies have been conducted at the OECD Halden Reactor Project. The purpose of these lessons learned reports are to summarize knowledge and experience gained across a number of research project. This paper presents a summary of main issues addressed in four of these lessons learned projects. These are concerned with software development and quality assurance, software reliability, methods for test and evaluation of developed systems, and the evaluation of system design features

Developing an English Mobile Learning Attitude Scale for Adult Learners

Science.gov (United States)

Liu, Tzu-Ying

2017-01-01

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

Using Interactive Animations to Enhance Teaching, Learning, and Retention of Respiration Pathway Concepts in Face-to-Face and Online High School, Undergraduate, and Continuing Education Learning Environments ?

OpenAIRE

Rice, Sederick C.

2013-01-01

One major tool set teachers/instructors can use is online interactive animations, which presents content in a way that helps pique students' interest and differentiates instructional content.  The Virtual Cell Animation Collections (VCAC), developed from the Molecular and Cellular Biology Learning Center, has developed a series of online interactive animations that provide teacher/instructors and students with immersive learning tools for studying and understanding respiration processes.  The...

Development of a Relational Database for Learning Management Systems

Science.gov (United States)

Deperlioglu, Omer; Sarpkaya, Yilmaz; Ergun, Ertugrul

2011-01-01

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…

An active role for machine learning in drug development

Science.gov (United States)

Murphy, Robert F.

2014-01-01

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

Liberating Learning Object Design from the Learning Style of Student Instructional Designers

Science.gov (United States)

Akpinar, Yavuz

2007-01-01

Learning objects are a new form of learning resource, and the design of these digital environments has many facets. To investigate senior instructional design students' use of reflection tools in designing learning objects, a series of studies was conducted using the Reflective Action Instructional Design and Learning Object Review Instrument…

Development of a model for whole brain learning of physiology.

Science.gov (United States)

Eagleton, Saramarie; Muller, Anton

2011-12-01

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.

Facilitating Learning at Conferences

DEFF Research Database (Denmark)

Ravn, Ib; Elsborg, Steen

2011-01-01

The typical conference consists of a series of PowerPoint presentations that tend to render participants passive. Students of learning have long abandoned the transfer model that underlies such one-way communication. We propose an al-ternative theory of conferences that sees them as a forum...... for learning, mutual inspiration and human flourishing. We offer five design principles that specify how conferences may engage participants more and hence increase their learning. In the research-and-development effort reported here, our team collaborated with conference organizers in Denmark to introduce...... and facilitate a variety of simple learning techniques at thirty one- and two-day conferences of up to 300 participants each. We present ten of these techniques and data evaluating them. We conclude that if conference organizers allocate a fraction of the total conference time to facilitated processes...

Facilitating organizational development through action learning : Some practical and theoretical considerations

NARCIS (Netherlands)

Donnenberg, O.; De Loo, I.G.M.

2004-01-01

Action learning programmes are supposed to result in both personal and organizational development. However, organizational development can be negligible because, as the term implies, a connection must be secured between what has been learned by action learning participants and other members of an

Developments in the Multilingual and Multicultural Learning Space

DEFF Research Database (Denmark)

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...

The Development of Personality and Lifelong Learning

Directory of Open Access Journals (Sweden)

Irena Lesar

2000-12-01

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.

Visual Hybrid Development Learning System (VHDLS) framework for children with autism.

Science.gov (United States)

Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina

2015-10-01

The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid Development Learning System (VHDLS) framework that is based on an instructional design model, multimedia cognitive learning theory, and learning style in order to guide software developers in developing learning systems for children with autism. The results from this study showed that the attention of children with autism increased more with the proposed VHDLS framework.

The development of a National set of Physiology learning objectives ...

African Journals Online (AJOL)

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 ...

Developing Course Materials for Technology-Mediated Chinese Language Learning

Science.gov (United States)

Kubler, Cornelius C.

2018-01-01

This article discusses principles involved in developing course materials for technology-mediated Chinese language learning, with examples from a new course designed to take into account the needs of distance and independent learners. Which learning environment is most efficient for a given learning activity needs to be carefully considered. It…

Improving the Virtual Learning Development Processes Using XML Standards.

Science.gov (United States)

Suss, Kurt; Oberhofer, Thomas

2002-01-01

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…

DEVELOPMENT AN INSTRUMENT TO MEASURE UNIVERSITY STUDENTS' ATTITUDE TOWARDS E-LEARNING

OpenAIRE

Vandana MEHRA; Faranak OMIDIAN

2012-01-01

The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran) .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning; Ease o...

Developing scholarship of teaching and learning through a ...

African Journals Online (AJOL)

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 ...

Time series clustering in large data sets

Directory of Open Access Journals (Sweden)

Jiří Fejfar

2011-01-01

Full Text Available The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM with the unsupervised learning algorithm for clustering of time series. After the first experiment (Fejfar, Weinlichová, Šťastný, 2009 it seems that the whole concept of the clustering algorithm is correct but that we have to perform time series clustering on much larger dataset to obtain more accurate results and to find the correlation between configured parameters and results more precisely. The second requirement arose in a need for a well-defined evaluation of results. It seems useful to use sound recordings as instances of time series again. There are many recordings to use in digital libraries, many interesting features and patterns can be found in this area. We are searching for recordings with the similar development of information density in this experiment. It can be used for musical form investigation, cover songs detection and many others applications.The objective of the presented paper is to compare clustering results made with different parameters of feature vectors and the SOM itself. We are describing time series in a simplistic way evaluating standard deviations for separated parts of recordings. The resulting feature vectors are clustered with the SOM in batch training mode with different topologies varying from few neurons to large maps.There are other algorithms discussed, usable for finding similarities between time series and finally conclusions for further research are presented. We also present an overview of the related actual literature and projects.

Positive feelings in learning and interest development in biology education

DEFF Research Database (Denmark)

Petersen, Morten Rask; Dohn, Niels Bonderup

2015-01-01

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...

Measuring Explicit Word Learning of Preschool Children: A Development Study.

Science.gov (United States)

Kelley, Elizabeth Spencer

2017-08-15

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.

Poverty and Brain Development in Children: Implications for Learning

Science.gov (United States)

Dike, Victor E.

2017-01-01

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…

Classification of time-series images using deep convolutional neural networks

Science.gov (United States)

Hatami, Nima; Gavet, Yann; Debayle, Johan

2018-04-01

Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data. While the majority of Time-Series Classification (TSC) literature is focused on 1D signals, this paper uses Recurrence Plots (RP) to transform time-series into 2D texture images and then take advantage of the deep CNN classifier. Image representation of time-series introduces different feature types that are not available for 1D signals, and therefore TSC can be treated as texture image recognition task. CNN model also allows learning different levels of representations together with a classifier, jointly and automatically. Therefore, using RP and CNN in a unified framework is expected to boost the recognition rate of TSC. Experimental results on the UCR time-series classification archive demonstrate competitive accuracy of the proposed approach, compared not only to the existing deep architectures, but also to the state-of-the art TSC algorithms.

User Studies: Developing Learning Strategy Tool Software for Children.

Science.gov (United States)

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.…

Test-Enhanced Learning in an Immunology and Infectious Disease Medicinal Chemistry/Pharmacology Course.

Science.gov (United States)

Hernick, Marcy

2015-09-25

Objective. To develop a series of active-learning modules that would improve pharmacy students' performance on summative assessments. Design. A series of optional online active-learning modules containing questions with multiple formats for topics in a first-year (P1) course was created using a test-enhanced learning approach. A subset of module questions was modified and included on summative assessments. Assessment. Student performance on module questions improved with repeated attempts and was predictive of student performance on summative assessments. Performance on examination questions was higher for students with access to modules than for those without access to modules. Module use appeared to have the most impact on low performing students. Conclusion. Test-enhanced learning modules with immediate feedback provide pharmacy students with a learning tool that improves student performance on summative assessments and also may improve metacognitive and test-taking skills.

Development of Mobile Learning in Faculty of Economics, Bina Nusantara University

Directory of Open Access Journals (Sweden)

Herru Darmadi

2017-09-01

Full Text Available The research wanted to find the workflow and solution by developing m-learning object for Android and iOS-based smartphone and tablet that supported interactive multimedia. The research began with analysis, design, implementation, and evaluation. Currently, the learning objects were not compatible with mobile devices. To overcome this problem, the research focused on designing the instructional design for m-learning and the development of interactive multimedia. Instructional design was created by the collaboration of the subject matter expert and instructional designer. M-learning was designed using UML and developed using Adobe AIR technology. The implementation of this research was a prototype of m-learning for concept of cost in Faculty of Economics, Bina Nusantara University. Then, the evaluation was conducted by distributing m-learning object to 32 selected students by simple random sampling in their first week of lectures in February 2014. The observation was conducted during m-learning object installation and initial learning process. At the end of the second week of the experiment, summative assessment and questionnaire were given to students. The results show that m-learning object is compatible with mobile devices. The students also say that m-learning is easy to use and helpful for their learning.

Developing and Understanding Intelligent Contexts for Playing and Learning

DEFF Research Database (Denmark)

Larsen, Lasse Juel; Helms, Niels Henrik

2009-01-01

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....

Student-generated e-learning for clinical education.

Science.gov (United States)

Isaacs, Alex N; Nisly, Sarah; Walton, Alison

2017-04-01

Within clinical education, e-learning facilitates a standardised learning experience to augment the clinical experience while enabling learner and teacher flexibility. With the shift of students from consumers to creators, student-generated content is expanding within higher education; however, there is sparse literature evaluating the impact of student-developed e-learning within clinical education. The aim of this study was to implement and evaluate a student-developed e-learning clinical module series within ambulatory care clinical pharmacy experiences. Three clinical e-learning modules were developed by students for use prior to clinical experiences. E-learning modules were created by fourth-year professional pharmacy students and reviewed by pharmacy faculty members. A pre-/post-assessment was performed to evaluate knowledge comprehension before and after participating in the e-learning modules. Additionally, a survey on student perceptions of this educational tool was performed at the end of the clinical experience. There is sparse literature evaluating the impact of student-developed e-learning within clinical education RESULTS: Of the 31 students eligible for study inclusion, 94 per cent participated in both the pre- and post-assessments. The combined post-assessment score was significantly improved after participating in the student-developed e-learning modules (p = 0.008). The student perception survey demonstrated positive perceptions of e-learning within clinical education. Student-generated e-learning was able to enhance knowledge and was positively perceived by learners. As e-learning continues to expand within health sciences education, students can be incorporated into the development and execution of this educational tool. © 2016 John Wiley & Sons Ltd.

From lending to learning the development and extension of public libraries

CERN Document Server

O'Beirne, Rónán

2010-01-01

From Lending to Learning provides a theoretical overview and practical guide to the functional area of delivering learning services within public libraries. It traces the development of public library service delivery and critically appraises the inherent tension between offering an educational-focused or leisure-focused library. The current and future policy directions are explored against the backdrop of the emerging learning society. A general overview of recent developments in learning theory is followed by an insight into the learning landscape. The issues and practicalities of setting up

Learning and Development Policy available on HR web

CERN Multimedia

2012-01-01

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: pascale.goy@cern.ch , tel. 62232.

Learning by Example: Designing and Developing Linked Data Application

Science.gov (United States)

Tharani, Karim

2016-01-01

According to constructivist theory of learning, new knowledge is learned on the basis of what is already known by learners. Thus for an emerging and transformative technology such as Linked Data to be learned, the technology must be made relevant for learners and must be compatible with their skillset. Designing and developing Linked Data…

Linear engine development for series hybrid electric vehicles

Science.gov (United States)

Toth-Nagy, Csaba

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

The power of mindful learning in professional development course

Directory of Open Access Journals (Sweden)

Sonia Piscayanti Kadek

2018-01-01

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.

Evaluation of motor development in children with learning disabilities

Directory of Open Access Journals (Sweden)

Josiane Medina-Papst

2010-01-01

Full Text Available The aim of this study was to determine whether children with learning disabilities present any impairment in the components of motor development. Thirty children (21 boys and 9 girls, aged 8 to 10 years, with learning difficulties in school were studied. The Motor Development Scale was used to evaluate the development of the children in terms of fine motor control, gross motor control, balance, body scheme, spatial organization, and temporal organization. A deficit in the development of the body scheme component was observed for all three age groups, as well as a delayed motor development in terms of balance and gross motor control. No significant differences in general motor age were observed between (age groups. In conclusion, the children studied, especially older ones, presented motor deficits in most of the components evaluated. The inclusion of tasks that assist in the development of motor components, in addition to regular school tasks, is recommended to improve the process of learning in these children..

A model for learning development | Kilfoil | South African Journal of ...

African Journals Online (AJOL)

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 ...

A Short Biography of Joseph Fourier and Historical Development of Fourier Series and Fourier Transforms

Science.gov (United States)

Debnath, Lokenath

2012-01-01

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…

The Cost of Learning: Interference Effects in Memory Development

Science.gov (United States)

Darby, Kevin P.; Sloutsky, Vladimir M.

2015-01-01

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

A strategic approach to developing e-learning capability for healthcare.

Science.gov (United States)

Clarke, Angie; Lewis, Dina; Cole, Ian; Ringrose, Liz

2005-12-01

This article examines a strategic approach to developing e-learning capability to enhance learning opportunities for the workforce of a healthcare organization. Emphasis is given to the procurement of a bespoke Managed Learning Environment (MLE). Strategic organizational issues impacting on future e-learning developments are considered. The 2-year implementation plan was evaluated through a two phase external research project. The first phase focused on the effectiveness of a training programme designed to build capacity for e-learning within the Northern area and also included a virtual learning environment usability study which informed the MLE specification. The second phase evaluation is ongoing during 2005 and interim findings are presented. The MLE has been piloted and on-line learning packages have been acquired. There has been a phased take-up of e-learning opportunities and e-tutor training. Some virtual Communities of Practice have been established. Key organizational issues have been identified and ongoing findings are informing strategic planning. The healthcare MLE is offering enhanced learning opportunities and assisting area healthcare providers in training their dispersed workforces. Blended learning strategies are most successful. The need for protected time for e-learning is a key issue, financial savings are available. Progress has been slowed by identified organizational constraints-the MLE's benefits are widely recognized.

Development and application of social learning theory.

Science.gov (United States)

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.

Developing Distance Learning Courses in a "Traditional" University.

Science.gov (United States)

Lawton, Sally; Barnes, Richard

1998-01-01

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…

Development of multimedia learning based inquiry on vibration and wave material

Science.gov (United States)

Madeali, H.; Prahani, B. K.

2018-03-01

This study aims to develop multimedia learning based inquiry that is interesting, easy to understand by students and streamline the time of teachers in bringing the teaching materials as well as feasible to be used in learning the physics subject matter of vibration and wave. This research is a Research and Development research with reference to ADDIE model that is Analysis, Design, Development, Implementation, and Evaluation. Multimedia based learning inquiry is packaged in hypertext form using Adobe Flash CS6 Software. The inquiry aspect is constructed by showing the animation of the concepts that the student wants to achieve and then followed by questions that will ask the students what is observable. Multimedia learning based inquiry is then validated by 2 learning experts, 3 material experts and 3 media experts and tested on 3 junior high school teachers and 23 students of state junior high school 5 of Kendari. The results of the study include: (1) Validation results by learning experts, material experts and media experts in valid categories; (2) The results of trials by teachers and students fall into the practical category. These results prove that the multimedia learning based inquiry on vibration and waves materials that have been developed feasible use in physics learning by students of junior high school class VIII.

Learning from Sustainable Development: Education in the Light of Public Issues

Science.gov (United States)

Van Poeck, Katrien; Vandenabeele, Joke

2012-01-01

Education for sustainable development plays an increasing role in environmental education policy and practice. In this article, we show how sustainable development is mainly seen as a goal that can be achieved by applying the proper processes of learning and how this learning perspective translates sustainability issues into learning problems of…

A Literature Survey of Early Time Series Classification and Deep Learning

OpenAIRE

Santos, Tiago; Kern, Roman

2017-01-01

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...

A rapid learning and dynamic stepwise updating algorithm for flat neural networks and the application to time-series prediction.

Science.gov (United States)

Chen, C P; Wan, J Z

1999-01-01

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.

Self Regulated Learning for Developing Nursing Skills via Web-Based

Science.gov (United States)

Razak, Rafiza Abdul; Hua, Khor Bee

2013-01-01

The purpose of this study is to find out whether the first year student nurses able to learn and develop the psychomotor skills for basic nursing care using web-based learning environment. More importantly, the researcher investigated whether web-based learning environment using self regulated learning strategy able to help students to apply the…

Development of a Model for Whole Brain Learning of Physiology

Science.gov (United States)

Eagleton, Saramarie; Muller, Anton

2011-01-01

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…

A Methodological Approach to Encourage the Service-Oriented Learning Systems Development

Science.gov (United States)

Diez, David; Malizia, Alessio; Aedo, Ignacio; Diaz, Paloma; Fernandez, Camino; Dodero, Juan-Manuel

2009-01-01

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…

How the Young Generation Uses Digital Textbooks via Mobile Learning Terminals: Measurement of Elementary School Students in China

Science.gov (United States)

Sun, Zhong; Jiang, Yuzhen

2015-01-01

Digital textbooks that offer multimedia features, interactive controls, e-annotation and learning process tracking are gaining increasing attention in today's mobile learning era, particularly with the rapid development of mobile learning terminals such as Apple's iPad series and Android-based models. Accordingly, this study explores how…

Informal Learning and Non-Formal Education for Development

Science.gov (United States)

Latchem, Colin

2014-01-01

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…

E-learning for Nuclear Newcomers

International Nuclear Information System (INIS)

2013-01-01

We have created an interactive e-learning series explaining the IAEA's Milestones Approach to introducing a nuclear power programme. This approach is based on three phases and covers the 19 infrastructure issues that need to be addressed, and brings decades of expertise to life. Both newcomers and those expanding their nuclear power programmes may benefit from the e-learning series.

Growing pains and pleasures: how emotional learning guides development.

Science.gov (United States)

Nelson, Eric E; Lau, Jennifer Y F; Jarcho, Johanna M

2014-02-01

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.

Learn Objective-C for Java Developers

CERN Document Server

Bucanek, James

2009-01-01

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!

Guide to good practices for developing learning objectives. DOE guideline

Energy Technology Data Exchange (ETDEWEB)

1992-07-01

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.

Developing, implementing and evaluating a simulation learning ...

African Journals Online (AJOL)

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.

DEVELOPMENT AND IMPLEMENTATION A PLATFORM FOR E-LEARNING WITH MULTIMEDIA TECHNOLOGY

Directory of Open Access Journals (Sweden)

Serbanescu Luminita

2009-05-01

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

Developing Computer Assisted Media of Pneumatic System Learning Oriented to Industrial Demands

Directory of Open Access Journals (Sweden)

Wahyu Dwi Kurniawan

2017-04-01

Full Text Available This study aimed to develop learning media of pneumatic systems based on computer-assisted learning as an effort to improve the competence of students at the Department of Mechanical Engineering, Faculty of Engineering UNESA. The development method referred to the 4D model design of Thiagarajan comprising the steps of: define, design, develop, and desseminate. The results showed that the expert validation average score included in both categories was 3.54, indicating the learning application acceptable. A limited test showed effective results, namely: (a Analysis of the data included in the category of learning was good (3.64, indicated by students’ enthusiasm in the learning process; (b Teaching learning activities were categorized as good, the students actively involved in learning, and the most dominant activity was doing tasks while discussing; (c Learning objectives were both achieved individually and classically; (d The students showed a positive response expressed by the students’ interest, excitement, and motivation to follow the learning process.

Guide to good practices for developing learning objectives. DOE Handbook

Energy Technology Data Exchange (ETDEWEB)

NONE

1992-07-01

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.

Developing Decision-Making Skill: Experiential Learning in Computer Games

OpenAIRE

Kurt A. April; Katja M. J. Goebel; Eddie Blass; Jonathan Foster-Pedley

2012-01-01

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...

IMPROVING THE VIRTUAL LEARNING DEVELOPMENT PROCESSES USING XML STANDARDS

Directory of Open Access Journals (Sweden)

Kurt Suss

2002-06-01

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.

Developing a Professional Learning Community among Preservice Teachers

Science.gov (United States)

Bond, Nathan

2013-01-01

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…

Time series analysis time series analysis methods and applications

CERN Document Server

Rao, Tata Subba; Rao, C R

2012-01-01

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with Volume 30 dealing with time series. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowened experts in their respect...

Strengthening practical wisdom: mental health workers' learning and development.

Science.gov (United States)

Eriksen, Kristin Ådnøy; Dahl, Hellen; Karlsson, Bengt; Arman, Maria

2014-09-01

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

The Computational Development of Reinforcement Learning during Adolescence.

Directory of Open Access Journals (Sweden)

Stefano Palminteri

2016-06-01

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.

Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis.

Science.gov (United States)

Wang, Jin; Sun, Xiangping; Nahavandi, Saeid; Kouzani, Abbas; Wu, Yuchuan; She, Mary

2014-11-01

Biomedical time series clustering that automatically groups a collection of time series according to their internal similarity is of importance for medical record management and inspection such as bio-signals archiving and retrieval. In this paper, a novel framework that automatically groups a set of unlabelled multichannel biomedical time series according to their internal structural similarity is proposed. Specifically, we treat a multichannel biomedical time series as a document and extract local segments from the time series as words. We extend a topic model, i.e., the Hierarchical probabilistic Latent Semantic Analysis (H-pLSA), which was originally developed for visual motion analysis to cluster a set of unlabelled multichannel time series. The H-pLSA models each channel of the multichannel time series using a local pLSA in the first layer. The topics learned in the local pLSA are then fed to a global pLSA in the second layer to discover the categories of multichannel time series. Experiments on a dataset extracted from multichannel Electrocardiography (ECG) signals demonstrate that the proposed method performs better than previous state-of-the-art approaches and is relatively robust to the variations of parameters including length of local segments and dictionary size. Although the experimental evaluation used the multichannel ECG signals in a biometric scenario, the proposed algorithm is a universal framework for multichannel biomedical time series clustering according to their structural similarity, which has many applications in biomedical time series management. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Creating Professional Learning Communities: The Work of Professional Development Schools

Science.gov (United States)

Doolittle, Gini; Sudeck, Maria; Rattigan, Peter

2008-01-01

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…

Measuring the learning effectiveness of Web-based teacher professional development in the hypothesis based learning method of teaching science

Science.gov (United States)

Wilson, Penne L.

2007-12-01

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

DESIGN AND DEVELOPMENT OF MOBILE LEARNING APPLICATIONS USING DRUPAL

Directory of Open Access Journals (Sweden)

N.M.A.E.D Wirastuti

2010-07-01

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.

Alberta Learning: Early Development Instrument Pilot Project Evaluation.

Science.gov (United States)

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…

Development of the Self-Directed Learning Skills Scale

Science.gov (United States)

Ayyildiz, Yildizay; Tarhan, Leman

2015-01-01

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…

Learning in Networks for Sustainable Development

NARCIS (Netherlands)

Lansu, Angelique; Boon, Jo; Sloep, Peter; Van Dam-Mieras, Rietje

2010-01-01

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

How to develop students’ approaches to learning: Experiences from a programme based on co-regulated learning

Directory of Open Access Journals (Sweden)

Stančić Milan

2017-01-01

Full Text Available Starting from the insight that during their education students do not manage to learn how to learn, we created the programme called Blooming with the intention of enabling the students to reconsider their own approaches to learning by developing collaborative activities and relations in the classroom. The programme was realised in a secondary school class, and research goals were to explore the contribution of the programme to the change in students’ approach to learning - regarding the learning motivation and strategies - and to obtain an insight into students’ perspective of the benefits of the programme. The changes in learning strategies and students’ motivation were investigated using the MSLQ before and after programme attendance. The data on the programme benefits were obtained via focus groups with students and analysed by the thematic content analysis. It has been established that the students achieved a significant improvement when it comes to the mastering of the learning strategies that refer to self-regulation, critical thinking, peer learning and help seeking. In addition, the students pointed out as benefits a different method of work and pleasant atmosphere, the feeling of autonomy in classes, as well as the development of a different understanding of the nature of knowledge, the learning process and instruction. The results indicate that the use of Bloom’s taxonomy as the tool for co-regulated learning and self-evaluation of students can contribute to the change in students’ learning approaches. This finding is relevant for further considering of the possibility for this method to grow from a special programme into everyday teaching practice.

Lifelong Learning Competencies Development Program for Higher Education

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Catalina Martinez-Mediano

2013-04-01

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.

DEVELOPING GUIDED DISCOVERY LEARNING MATERIALS USING MATHEMATICS MOBILE LEARNING APPLICATION AS AN ALTERNATIVE MEDIA FOR THE STUDENTS CALCULUS II

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Sunismi .

2015-12-01

Full Text Available Abstract: The development research aims to develop guided-discovery learning materials of Calculus II by implementing Mathematics Mobile Learning (MML. The products to develop are MML media of Calculus II using guided discovery model for students and a guide book for lecturers. The study employed used 4-D development model consisting of define, design, develop, and disseminate. The draft of the learning materials was validated by experts and tried-out to a group of students. The data were analyzed qualitatively and quantitatively by using a descriptive technique and t-test. The findings of the research were appropriate to be used ad teaching media for the students. The students responded positively that the MML media of Calculus II using the guided-discovery model was interestingly structured, easily operated through handphones (all JAVA, android, and blackberry-based handphones to be used as their learning guide anytime. The result of the field testing showed that the guided-discovery learning materials of Calculus II using the Mathematics Mobile Learning (MML application was effective to adopt in learning Calculus II. Keywords: learning materials, guided-discovery, mathematics mobile learning (MML, calculus II PENGEMBANGAN BAHAN AJAR MODEL GUIDED DISCOVERY DENGAN APLIKASI MATHEMATICS MOBILE LEARNING SEBAGAI ALTERNATIF MEDIA PEMBELAJARAN MAHASISWA MATAKULIAH KALKULUS II Abstrak: Penelitian pengembangan ini bertujuan untuk mengembangkan bahan ajar matakuliah Kalkulus II model guided discovery dengan aplikasi Mathematics Mobile Learning (MML. Produk yang dikembangkan berupa media MML Kalkulus II dengan model guided discovery untuk mahasiswa dan buku panduan dosen. Model pengembangan menggunakan 4-D yang meliputi tahap define, design, develop, dan dissemination. Draf bahan ajar divalidasi oleh pakar dan diujicobakan kepada sejumlah mahasiswa. Data dianalisis secara kualitatif dan kuantitatif dengan teknik deskriptif dan uji t. Temuan penelitian

Segmentation of Nonstationary Time Series with Geometric Clustering

DEFF Research Database (Denmark)

Bocharov, Alexei; Thiesson, Bo

2013-01-01

We introduce a non-parametric method for segmentation in regimeswitching time-series models. The approach is based on spectral clustering of target-regressor tuples and derives a switching regression tree, where regime switches are modeled by oblique splits. Such models can be learned efficiently...... from data, where clustering is used to propose one single split candidate at each split level. We use the class of ART time series models to serve as illustration, but because of the non-parametric nature of our segmentation approach, it readily generalizes to a wide range of time-series models that go...

76 FR 50224 - Medicare Program; Accountable Care Organization Accelerated Development Learning Sessions; Center...

Science.gov (United States)

2011-08-12

...] 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...

e-Learning research: emerging issues?

Directory of Open Access Journals (Sweden)

Helen Beetham

2005-12-01

Full Text Available e-Learning research is an expanding and diversifying field of study. Specialist research units and departments proliferate. Postgraduate courses recruit well in the UK and overseas, with an increasing focus on critical and research-based aspects of the field, as well as the more obvious professional development requirements. Following this year's launch of a National e-Learning Research Centre, it is timely to debate what the field of study should be prioritising for the future. This discussion piece suggests that the focus should fall on questions that are both clear and tractable for researchers, and likely to have a real impact on learners and practitioners. Suggested questions are based on early findings from a series of JISC-funded projects on e-learning and pedagogy.

Rate-Agnostic (Causal) Structure Learning.

Science.gov (United States)

Plis, Sergey; Danks, David; Freeman, Cynthia; Calhoun, Vince

2015-12-01

Causal structure learning from time series data is a major scientific challenge. Extant algorithms assume that measurements occur sufficiently quickly; more precisely, they assume approximately equal system and measurement timescales. In many domains, however, measurements occur at a significantly slower rate than the underlying system changes, but the size of the timescale mismatch is often unknown. This paper develops three causal structure learning algorithms, each of which discovers all dynamic causal graphs that explain the observed measurement data, perhaps given undersampling. That is, these algorithms all learn causal structure in a "rate-agnostic" manner: they do not assume any particular relation between the measurement and system timescales. We apply these algorithms to data from simulations to gain insight into the challenge of undersampling.

Adoption, adaptation, and abandonment: Appropriation of science education professional development learning

Science.gov (United States)

Longhurst, Max L.

Understanding factors that impact teacher utilization of learning from professional development is critical in order maximize the educational and financial investment in teacher professional learning. This study used a multicase mixed quantitative and qualitative methodology to investigate the factors that influence teacher adoption, adaption, or abandonment of learning from science teacher professional development. The theoretical framework of activity theory was identified as a useful way to investigate the phenomenon of teacher appropriation of pedagogical practices from professional development. This framework has the capacity to account for a multitude of elements in the context of a learning experience. In this study educational appropriation is understood through a continuum of how an educator acquires and implements both practical and conceptual aspects of learning from professional development within localized context. The variability associated with instructional changes made from professional development drives this inquiry to search for better understandings of the appropriation of pedagogical practices. Purposeful sampling was used to identify two participants from a group of eighth-grade science teachers engaged in professional development designed to investigate how cyber-enabled technologies might enhance instruction and learning in integrated science classrooms. The data from this investigation add to the literature of appropriation of instructional practices by connecting eight factors that influence conceptual and practical tools with the development of ownership of pedagogical practices in the appropriation hierarchy. Recommendations are shared with professional development developers, providers, and participants in anticipation that future science teaching experiences might be informed by findings from this study.

Stimulating and Developing High School Students’Motivation in Their English Learning

Institute of Scientific and Technical Information of China (English)

笈文婷

2014-01-01

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.

Developing a Virtual Book - Material for Virtual Learning Environments

Directory of Open Access Journals (Sweden)

Anne Karin Larsen

2007-12-01

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.

Analysis of Maths Learning Activities Developed By Pre-service Teachers in Terms of the Components of Content, Purpose, Application Methods

Directory of Open Access Journals (Sweden)

Çağla Toprak

2014-04-01

Full Text Available Today- when the influence of the alteration movement done in order to keep up with the age of the educational system is still continuing- the importance of teachers in students’ learning and achieving what is expected from the education system has been stated by the studies conducted (Hazır & Bıkmaz, 2006. Teachers own a critical role in the stage of both preparing teaching materials and using them (Stein & Smith, 1998b; Swan, 2007. When the existing curriculums –in particular, maths and geometry cirriculums- are analyzed, it can be observed that activities are the most significant teaching materials (Bozkurt, 2012. In fact, it is possible to characterize the existing curriculums as activity-based ones (Report of Workshop Examining Content of Primary School Curriculums According to Branches, 2010; Epö, 2005. Therefore, what sort of learning activities there are, what qualities they need to have, how to design and apply them are topics that must be elaborated (Uğurel et al., 2010.  At this point, our study to increase the skills of pre-service teachers during the process of developing activities was conducted with 27 pre-service teachers -19 girls 8 boys- studying in the 4th year in Mathematics Education Department at a state university in the Aegean Region. The activity designs the pre-service teachers developed considering the patterns given after a series of practice were analyzed in documents in terms of the aim of design and the form of practice. As a result of the studies, it is observed that pre-service teachers deal with the topics from the maths curriculum and these topics are of different grade levels. The result of the examination named as target component suggests that activities developed aim firstly at providing learning and this is followed by reinforcing the concepts already learned. It is stated that pre-service teachers prefer mostly small group (cooperative studies in the activities they develop.Key Words: �

Pointer Animation Implementation at Development of Multimedia Learning of Java Programming

Science.gov (United States)

Rusli, Muhammad; Atmojo, Yohanes Priyo

2015-01-01

This research represents the development research using the references of previous research results related to the development of interactive multimedia learning (learner controlled), specially about the effectiveness and efficiency of multimedia learning of a content that developed by pointer animation implementation showing the content in…

Inconvenient Truths about Teacher Learning: Towards Professional Development 3.0

Science.gov (United States)

Korthagen, Fred

2017-01-01

Based on recent findings about teacher learning, a critical analysis of traditional and new approaches to professional development is presented. To a large degree, teacher learning takes place unconsciously and involves cognitive, emotional and motivational dimensions. Moreover, teacher learning takes place at various levels. Although these…

Concept Maps for Evaluating Learning of Sustainable Development

Science.gov (United States)

Shallcross, David C.

2016-01-01

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.…

Moral learning as intuitive theory revision.

Science.gov (United States)

Rhodes, Marjorie; Wellman, Henry

2017-10-01

We argue that moral learning, like much of conceptual development more generally, involves development and change in children's intuitive theories of the world. Children's intuitive theories involve coherent and abstract representations of the world, which point to domain-specific, unobservable causal-explanatory entities. From this perspective, children rely on intuitive sociological theories (in particular, an abstract expectation that group memberships constrain people's obligations), and their intuitive psychological theories (including expectations that mental states motivate individual behavior) to predict, explain, and evaluate morally-relevant action. Thus, moral learning involves development and change in each of these theories of the world across childhood, as well as developmental change in how children integrate information from these two intuitive theories. This perspective is supported by a series of research studies on young children's moral reasoning and learning, and compared to other developmental approaches, including more traditional forms of constructivism and more recent nativist perspectives. Copyright © 2016 Elsevier B.V. All rights reserved.

Classroom Management. TESOL Classroom Practice Series

Science.gov (United States)

Farrell, Thomas S. C., Ed.

2008-01-01

This series captures the dynamics of the contemporary ESOL classroom. It showcases state-of-the-art curricula, materials, tasks, and activities reflecting emerging trends in language education and seeks to build localized language teaching and learning theories based on teachers' and students' unique experiences in and beyond the classroom. Each…

Supporting Adaptive Learning Pathways through the Use of Learning Analytics: Developments, Challenges and Future Opportunities

Science.gov (United States)

Mavroudi, Anna; Giannakos, Michail; Krogstie, John

2018-01-01

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…

76 FR 66931 - Medicare Program; Accountable Care Organization Accelerated Development Learning Sessions; Center...

Science.gov (United States)

2011-10-28

...] 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...

Learning Opportunities And Learning Behaviours Of Small Business Starters: Relations With Goal Achievement, Skill Development, And Satisfaction

NARCIS (Netherlands)

A.M. van Gelderen (Marco); L. van der Sluis; P. Jansen (Paul)

2004-01-01

textabstractLearning is a vital issue for small business starters, contributing to short term and long term business performance, as well as to personal development. This study investigates when and how small business starters learn. It specifies the situations that offer learning opportunities, as

Virtual learning networks for sustainable development

NARCIS (Netherlands)

De Kraker, Joop; Cörvers, Ron

2010-01-01

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

A Semi-Open Learning Environment for Mobile Robotics

Directory of Open Access Journals (Sweden)

Enrique Sucar

2007-05-01

Full Text Available We have developed a semi-open learning environment for mobile robotics, to learn through free exploration, but with specific performance criteria that guides the learning process. The environment includes virtual and remote robotics laboratories, and an intelligent virtual assistant the guides the students using the labs. A series of experiments in the virtual and remote labs are designed to gradually learn the basics of mobile robotics. Each experiment considers exploration and performance aspects, which are evaluated by the virtual assistant, giving feedback to the user. The virtual laboratory has been incorporated to a course in mobile robotics and used by a group of students. A preliminary evaluation shows that the intelligent tutor combined with the virtual laboratory can improve the learning process.

Teaching & Learning Tips 1: Teaching perspectives - an introduction.

Science.gov (United States)

Rana, Jasmine; Burgin, Susan

2017-11-01

Challenge: Clinical and research responsibilities often leave little or no time to plan thoughtful teaching encounters with trainees. This "Teaching & Learning Tips" series is designed to be an accessible guide for dermatologists who want to improve their teaching skills. It is comprised of 12 articles about how to enhance teaching in various settings informed by research about how people learn and expert-derived or data-driven best practices for teaching. The series begins with a review of principles to optimize learning in any setting, including cognitive load theory, active learning strategies, and the impact of motivation and emotion on learning. It transitions into a practical "how to" guide format for common teaching scenarios in dermatology, such as lecturing, case-based teaching, and teaching procedures, among others. Herein, we kickoff the series by unpacking assumptions about teaching and learning. What does it mean to teach and learn? © 2017 The International Society of Dermatology.

Developing Social and Emotional Aspects of Learning: The American Experience

Science.gov (United States)

Elias, Maurice J.; Moceri, Dominic C.

2012-01-01

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…

Perception of blended learning inventory (POBLI) - development and validation

DEFF Research Database (Denmark)

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...

Video Episodes and Action Cameras in the Undergraduate Chemistry Laboratory: Eliciting Student Perceptions of Meaningful Learning

Science.gov (United States)

Galloway, Kelli R.; Bretz, Stacey Lowery

2016-01-01

A series of quantitative studies investigated undergraduate students' perceptions of their cognitive and affective learning in the undergraduate chemistry laboratory. To explore these quantitative findings, a qualitative research protocol was developed to characterize student learning in the undergraduate chemistry laboratory. Students (N = 13)…

Machine Learning for Neuroimaging with Scikit-Learn

Directory of Open Access Journals (Sweden)

Alexandre eAbraham

2014-02-01

Full Text Available Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g. resting state functional MRI or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

Machine learning for neuroimaging with scikit-learn.

Science.gov (United States)

Abraham, Alexandre; Pedregosa, Fabian; Eickenberg, Michael; Gervais, Philippe; Mueller, Andreas; Kossaifi, Jean; Gramfort, Alexandre; Thirion, Bertrand; Varoquaux, Gaël

2014-01-01

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

Early Learning Foundations. Indiana's Early Learning Development Framework Aligned to the Indiana Academic Standards, 2014

Science.gov (United States)

Indiana Department of Education, 2015

2015-01-01

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…

E-learning Programmes and Courses Evaluation Report

DEFF Research Database (Denmark)

Badger, Merete; Prag, Sidsel-Marie Winther; Monaco, Lucio

the development, testing, and evaluation of a series of applications for training and entrepreneurship in the field of sustainable energy (project work package 2, 3, and 4). This report describes the project outcomes related to this work stream with focus on E-learning programmes and courses. It represents...... the project deliverable “D3.4 E-learning Programmes and Courses Evaluation Report”. The applications developed for entrepreneurship will be described and evaluated in the project deliverable “D4.3 e-link evaluation report”. The second work stream (work package 5) covers the development of E......-infrastructure eduGAIN2. The access point is a web portal – the VCH Portal – which is used to manage users and groups. The E-infrastructure of VCH will be described and evaluated in the project deliverable “5.4 Virtual Campus Hub Technology Evaluation Report”. The E-learning applications described in this report...

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

Science.gov (United States)

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

2017-03-01

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

Adult Learning Development in Poland in the 20th Century

Science.gov (United States)

Boiarska-Khomenko, Anna

2017-01-01

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…

Implications of learning theory for developing programs to decrease overeating.

Science.gov (United States)

Boutelle, Kerri N; Bouton, Mark E

2015-10-01

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.

Simulation modelling: educational development roles for learning technologists

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David Riley

2002-12-01

Full Text Available Simulation modelling was in the mainstream of CAL development in the 1980s when the late David Squires introduced this author to the Dynamic Modelling System. Since those early days, it seems that simulation modelling has drifted into a learning technology backwater to become a member of Laurillard's underutilized, 'adaptive and productive' media. Referring to her Conversational Framework, Laurillard constructs a pedagogic case for modelling as a productive student activity but provides few references to current practice and available resources. This paper seeks to complement her account by highlighting the pioneering initiatives of the Computers in the Curriculum Project and more recent developments in systems modelling within geographic and business education. The latter include improvements to system dynamics modelling programs such as STELLA®, the publication of introductory textbooks, and the emergence of online resources. The paper indicates several ways in which modelling activities may be approached and identifies some educational development roles for learning technologists. The paper concludes by advocating simulation modelling as an exemplary use of learning technologies - one that realizes their creative-transformative potential.

Lessons learned from developing online training for humanitarians

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Olimpius Istrate

2017-12-01

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.

Emotional Presence in Online Learning Scale: A Scale Development Study

Science.gov (United States)

Sarsar, Firat; Kisla, Tarik

2016-01-01

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

E-Learning Development Process for Operating System Course in Vocational School

Science.gov (United States)

Tuna, J. R.; Manoppo, C. T. M.; Kaparang, D. R.; Mewengkang, A.

2018-02-01

This development research aims to produce learning media in the form of E- Learning media using Edmodo which is interesting, efficient and effective on the subjects of operating system for students of class X TKJ in SMKN 3 Manado. The development model used was developed by S. Thiagarajan et al., Often known as the Four-D model, but this research only uses (define, design, and develop). Trial of the product is done twice (limited and wide). The experimental design used was the before-after experimental design. Data collection techniques used are interview techniques, questionnaires, and tests. The analytical technique used in this development research is descriptive qualitative. These include analysis of attractiveness test, efficiency and effectiveness of E-Learning media using Edmodo. The media attractiveness test was measured using a student response questionnaire. Media efficiency test was obtained through interviews of researchers with operating system subjects teachers and students of class X TKJ 1 at SMKN 3 Manado. While the media effectiveness test obtained from student learning outcomes before and after applying E-Learning media using Edomodo. Then tested by paired sample t test formula. After the media was piloted on the subject of trials (limited and broad), and the results show that E-Learning media using Edmodo is interesting, efficient and effective. It is shown on average student response score of 88.15% with very interesting interpretation. While the average value of student learning outcomes increased from 76.33 to 82.93. The results of differential test (paired sample t-test) the value of t = 11 217 ≥ ttable = 2,045 with significant value = 0.000 <α = 0.050 showing the media E -Learning using Edmodo is effective.

Learning FuelPHP for effective PHP development

CERN Document Server

Tweedie, Ross

2013-01-01

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.

Developing resources to facilitate culturally-sensitive service planning and delivery - doing research inclusively with people with learning disabilities.

Science.gov (United States)

Unwin, Gemma; Larkin, Michael; Rose, John; Kroese, Biza Stenfert; Malcolm, Stephen

2016-01-01

were conducted to explore participants' cultural identities, their understanding and experience of 'support'. The views and experiences expressed in the ASC-LD study were used in the 'Tools for Talking project' to develop a suite of resources designed to facilitate culturally-sensitive communication and information-sharing, service planning and delivery through improved mutual understanding between providers and users of services. This paper describes the Tools for Talking project which sought to co-develop the resources through a partnership event. Methods An inclusive approach was adopted to address issues that are important to people with learning disabilities, to represent their views and experiences, and to involve Black, Asian and minority ethnic people with learning disabilities in the research process. Partnerships were developed with provider organisations and service users who were invited to a 'Partnership Event'. Collaborators at the partnership event were asked to comment on and evaluate draft resources which included a series of videos and activities to explore topics that emerged as important in the ASC-LD study. Their comments were collated and the tools developed as they suggested. Results Using the results from the ASC-LD study helped to ensure that the draft resources were relevant to service users, addressing topics that were important to them. The partnership event was an effective method to collaborate with a relatively large number of stakeholders. However, the event was resource intensive and required substantial planning to ensure active and meaningful participation. Considerations, such as inviting stakeholders, developing the programme and selecting a venue are discussed. Conclusions The partnership approach has led to the development of a set of five illustrative videos and accompanying activities that address issues that emerged from the collaborative process including: culture, activities, support from staff, important people, choices and

Developing user-centered concepts for language learning video games

OpenAIRE

Poels, Yorick; Annema, Jan Henk; Zaman, Bieke; Cornillie, Frederik

2012-01-01

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...

The POL Model: Using a Social Constructivist Framework to Develop Blended and Online Learning

DEFF Research Database (Denmark)

Dalsgaard, Christian; Godsk, Mikkel

2007-01-01

The paper presents a model for developing blended and online learning based on a given curriculum and typical learning objectives for university courses. The model consists of a three-step-process in which the instructor formulates product-oriented tasks, develops and structures the learning...... materials and tools, outlines a schedule, and supports the students' learning activity in developing a product. The model is based on our experiences with transforming traditional lecture-based lessons into problem-based blended and online learning using a social constructivist approach and a standard...... virtual learning environment (VLE). Our initial experiments indicate that our model is useful to develop blended and online modules and, furthermore, it seems fruitful to use a social constructivist framework and orienting learning activities towards the development of products....

Guiding Curriculum Development: Student Perceptions for the Second Language Learning in Technology-Enhanced Learning Environments

Science.gov (United States)

Gürleyik, Sinan; Akdemir, Elif

2018-01-01

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…

Fourier Series, the DFT and Shape Modelling

DEFF Research Database (Denmark)

Skoglund, Karl

2004-01-01

This report provides an introduction to Fourier series, the discrete Fourier transform, complex geometry and Fourier descriptors for shape analysis. The content is aimed at undergraduate and graduate students who wish to learn about Fourier analysis in general, as well as its application to shape...

Developing Transferable Management Skills through Action Learning

Science.gov (United States)

Yeadon-Lee, Annie; Hall, Roger

2013-01-01

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

Development and evaluation of a blended learning course

NARCIS (Netherlands)

Jan M. Nauta; Jo Platenkamp; Marike Hettinga

2016-01-01

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

CELSTEC Learning Labs: Mobile App Development for Education and Training

NARCIS (Netherlands)

Specht, Marcus

2011-01-01

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.

Crossing borders : development, learning and the North-South divide.

OpenAIRE

McFarlane, C.

2006-01-01

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...

Development of a piano learning tool

OpenAIRE

Baloh, Matevž

2012-01-01

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...

Sustainable school development: professional learning communities

NARCIS (Netherlands)

Prof.Dr. E. Verbiest

2008-01-01

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

The Relationship between Logistics and Economic Development in Indonesia: Analysis of Time Series Data

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Mohammad Reza

2013-01-01

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.

Essentials of University Strategy Development in the Field of Lifelong Learning

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Alina Irina POPESCU

2012-06-01

Full Text Available The process of strategy development reflects, in any organisation, the clarity of the purpose of the organisation’s mere existence. Although many organisations may decide ‘to go with the flow’, in the current economic context it is advisable that organisations, including higher education institutions, go through a thorough strategy development process. The lifelong learning approach brings a shift in the paradigm of education, and was considered to be the manner in which individuals get educated in the knowledge-based society. The most active players in the higher education market embraced this approach by developing lifelong learning strategies, either separated or incorporated in the overall university strategy. In this context, the study presents guidelines for the development of strategies in universities, and attempts to investigate to which extent three public universities representative for different regions of Romania have embraced the lifelong learning approach in their university strategies so far. The investigation uses the framework of the principles of university lifelong learning presented in the Universities‘ Charter on Lifelong Learning (2008.

Development of E-learning prototype for MUET assessment

Science.gov (United States)

Mit Anak Mawan, Amylia; Mohamed, Rozlini; Othman, Muhaini; Yusof, Munirah Mohd

2017-08-01

This paper aims to discuss the development of E-learning prototype for MUET assessment in Fakulti Sains Komputer dan Teknologi Maklumat (FSKTM), Universiti Tun Hussein Onn Malaysia (UTHM) namely, MUET Online System. The system is considered as a learning centre to study MUET examination that follows the MUET syllabus. The system will be used to assist students in making preparation before sitting for MUET examination. Before student can gain access to the system, students need to sign up and pay some fees before they are enrolled into virtual MUET class. The class will be guided by the English language lecturer from Faculty of Science, Technology and Human Development (FSTPI), UTHM as teacher. The system provides learning modules, quiz and test section. At the end of learning session students’ performance are assessed through quizzes and test measure the level of student understands. The teacher will evaluate the student’s mark and provide advices to the student. Therefore, the MUET Online System will be able to improve student knowledge in English language and subsequently help student to obtain the best result in MUET by providing more guided references and practices.

Defining Levels of Learning for Strengths Development Programs in Pharmacy

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Kristin K. Janke, Ph.D.

2010-01-01

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.

Defining Levels of Learning for Strengths Development Programs in Pharmacy

Directory of Open Access Journals (Sweden)

Kristin Janke

2010-01-01

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

Peer Group Learning in Roche Pharma Development

Science.gov (United States)

Boulden, George P.; De Laat, Richard

2005-01-01

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…

Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads

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Ladan Mozaffari

2015-06-01

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

Developing design-based STEM education learning activities to enhance students' creative thinking

Science.gov (United States)

Pinasa, Siwa; Siripun, Kulpatsorn; Yuenyong, Chokchai

2018-01-01

Creative thinking on applying science and mathematics knowledge is required by the future STEM career. The STEM education should be provided for the required skills of future STEM career. This paper aimed to clarify the developing STEM education learning activities to enhance students' creative thinking. The learning activities were developed for Grade 10 students who will study in the subject of independent study (IS) of Khon Kaen Wittayayon School, Khon Kaen, Thailand. The developing STEM education learning activities for enhancing students' creative thinking was developed regarding on 6 steps including (1) providing of understanding of fundamental STEM education concept, (2) generating creative thinking from prototype, (4) revised ideas, (5) engineering ability, and (6) presentation and discussion. The paper will clarify the 18 weeks activities that will be provided based these 6 steps of developing learning activities. Then, these STEM learning activities will be discussed to provide the chance of enhancing students' creative thinking. The paper may have implication for STEM education in school setting.