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Sample records for learning objectives introduction

  1. Learning Object Repositories

    Science.gov (United States)

    Lehman, Rosemary

    2007-01-01

    This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)

  2. Objective - oriented financial analysis introduction

    Directory of Open Access Journals (Sweden)

    Dessislava Kostova – Pickett

    2018-02-01

    Full Text Available The practice of financial analysis has been immeasurably strengthened in recent years thanks to the ongoing evolution of computerized approaches in the form of spreadsheets and computer-based financial models of different types. These devices not only relieved the analyst's computing task, but also opened up a wide range of analyzes and research into alternative sensitivity, which so far has not been possible. The main potential for object-oriented financial analysis consists in enormously expanding the analyst's capabilities through an online knowledge and information interface that has not yet been achieved through existing methods and software packages.

  3. Introduction: cooperative learning

    Directory of Open Access Journals (Sweden)

    José-Manuel Serrano

    2014-10-01

    Full Text Available The principal objective of this revision is the recognition of cooperative learning as a highly effective strategy for the accomplishment of the general goals in learning. The different investigations assessed validate the potential that a cooperative organization of the classroom could entail for academic achievement, self-esteem, interpersonal attraction or social support. The solidity of the existing research contributes to its external and internal validity and, thus, to conclude that the results are consistent and can be extrapolated to different cultures, ethnic groups or countries.

  4. Repurposing learning object components

    NARCIS (Netherlands)

    Verbert, K.; Jovanovic, J.; Gasevic, D.; Duval, E.; Meersman, R.

    2005-01-01

    This paper presents an ontology-based framework for repurposing learning object components. Unlike the usual practice where learning object components are assembled manually, the proposed framework enables on-the-fly access and repurposing of learning object components. The framework supports two

  5. Introduction: Learning about Risk

    Directory of Open Access Journals (Sweden)

    Jens O. Zinn

    2006-01-01

    Full Text Available The special issue "Learning about Risk" draws on the launch conference of the ESRC "Social Contexts and Responses to Risk" network (SCARR held at 28th – 29th January 2005 in Canterbury. The SCARR network is an interdisciplinary network on risk which examines perceptions of and responses to risk in a range of areas, including sexual behaviour and partnering choices, the mass media, faith and ethnicity, pensions and financial planning, industrial pollution, crime, transport, energy policy and environmental hazards. The network's launch conference reflected the interdisciplinary character of risk research including a range of different methods and approaches to risk, directed at diverse objects of interest. The idea of the special issue is to link together this diversity and interdisciplinarity in risk research, and to encourage perspectives that look beyond the boundaries of single disciplines and methodological approaches. The papers in this publication demonstrate the value of insights from different disciplinary backgrounds in this area and point to the opportunities and challenges in the work that remains to be done in drawing these several perspectives more closely together. URN: urn:nbn:de:0114-fqs0601246

  6. Introduction to machine learning.

    Science.gov (United States)

    Baştanlar, Yalin; Ozuysal, Mustafa

    2014-01-01

    The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning approaches for this application area. In this chapter, we first review the fundamental concepts of machine learning such as feature assessment, unsupervised versus supervised learning and types of classification. Then, we point out the main issues of designing machine learning experiments and their performance evaluation. Finally, we introduce some supervised learning methods.

  7. Introduction to machine learning

    OpenAIRE

    Baştanlar, Yalın; Özuysal, Mustafa

    2014-01-01

    The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning app...

  8. Learning automata an introduction

    CERN Document Server

    Narendra, Kumpati S

    2012-01-01

    This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms.

  9. Learning Objects Web

    DEFF Research Database (Denmark)

    Blåbjerg, Niels Jørgen

    2005-01-01

    Learning Objects Web er et DEFF projekt som Aalborg Universitetsbibliotek har initieret. Projektet tager afsæt i de resultater og erfaringer som er opnået med vores tidligere projekt Streaming Webbased Information Modules (SWIM). Vi har et internationalt netværk af interessenter som giver os...... sparring og feedback i forhold til udviklingskoncept både omkring de teoretiske rammer og i forhold til praktisk anvendelse af vores undervisningskoncept. Med disse rygstød og input har vi forfulgt ønsket om at videreudvikle SWIM i det nye projekt Learning Objects Web. Udgivelsesdato: juni...

  10. From learning objects to learning activities

    DEFF Research Database (Denmark)

    Dalsgaard, Christian

    2005-01-01

    This paper discusses and questions the current metadata standards for learning objects from a pedagogical point of view. From a social constructivist approach, the paper discusses how learning objects can support problem based, self-governed learning activities. In order to support this approach......, it is argued that it is necessary to focus on learning activities rather than on learning objects. Further, it is argued that descriptions of learning objectives and learning activities should be separated from learning objects. The paper presents a new conception of learning objects which supports problem...... based, self-governed activities. Further, a new way of thinking pedagogy into learning objects is introduced. It is argued that a lack of pedagogical thinking in learning objects is not solved through pedagogical metadata. Instead, the paper suggests the concept of references as an alternative...

  11. Introduction to Machine Learning: Class Notes 67577

    OpenAIRE

    Shashua, Amnon

    2009-01-01

    Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).

  12. An introduction to machine learning with Scikit-Learn

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    This tutorial gives an introduction to the scientific ecosystem for data analysis and machine learning in Python. After a short introduction of machine learning concepts, we will demonstrate on High Energy Physics data how a basic supervised learning analysis can be carried out using the Scikit-Learn library. Topics covered include data loading facilities and data representation, supervised learning algorithms, pipelines, model selection and evaluation, and model introspection.

  13. Introduction to KHNP's Informal Learning

    International Nuclear Information System (INIS)

    Suh, Jang Soo; Kim, Duck Nyoun; Goo, Ja Sung; Jeong, Yeon Oh

    2011-01-01

    Korea Hydro and Nuclear Power Co., Ltd. (KHNP) has developed digital learning content for e-Learning, based on existing offline training materials since 2003. As a result, e-Learning content for basic training subjects have almost been developed, and the company is running e-Learning courses separately from offline training. This has allowed KHNP personnel to do self study to catch up on the fields they are in, without having to leave their work. Accordingly, KHNP is attempting to bring about numerous changes to the existing courses comprised of only offline training. All basic knowledge included in each training course contains e-Learning content. And offline training is focusing more on solving problems, which will eventually help enhance work performance

  14. An Elementary Introduction to Statistical Learning Theory

    CERN Document Server

    Kulkarni, Sanjeev

    2011-01-01

    A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and

  15. Elaborazione didattica di Learning Objects.

    Directory of Open Access Journals (Sweden)

    Luigi Guerra

    2006-01-01

    Full Text Available L’idea di un modello didattico problematico per la realizzazione di Learning Objects riprende i temi del problematicismo pedagogico e si impegna a definire un’ipotesi formativa complessa capace di valorizzare la possibile positiva compresenza integrata di strategie didattiche diverse (finanche antitetiche ma componibili in una logica appunto di matrice problematicista. Il punto di partenza del modello proposto è rappresentato dalla opportunità di definire tre tipologie fondamentali di Learning Objects, rispettivamente centrati sull’oggetto, sul processo e sul soggetto dell’apprendimento.

  16. An Introduction to Object-Oriented Programming with a Didactic Microworld: "objectKarel"

    Science.gov (United States)

    Xinogalos, Stelios; Satratzemi, Maya; Dagdilelis, Vassilios

    2006-01-01

    The objects-first strategy to teaching programming has prevailed over the imperative-first and functional-first strategies during the last decade. However, the objects-first strategy has created added difficulties to both the teaching and learning of programming. In an attempt to confront these difficulties and support the objects-first strategy…

  17. Introduction to machine learning for brain imaging.

    Science.gov (United States)

    Lemm, Steven; Blankertz, Benjamin; Dickhaus, Thorsten; Müller, Klaus-Robert

    2011-05-15

    Machine learning and pattern recognition algorithms have in the past years developed to become a working horse in brain imaging and the computational neurosciences, as they are instrumental for mining vast amounts of neural data of ever increasing measurement precision and detecting minuscule signals from an overwhelming noise floor. They provide the means to decode and characterize task relevant brain states and to distinguish them from non-informative brain signals. While undoubtedly this machinery has helped to gain novel biological insights, it also holds the danger of potential unintentional abuse. Ideally machine learning techniques should be usable for any non-expert, however, unfortunately they are typically not. Overfitting and other pitfalls may occur and lead to spurious and nonsensical interpretation. The goal of this review is therefore to provide an accessible and clear introduction to the strengths and also the inherent dangers of machine learning usage in the neurosciences. Copyright © 2010 Elsevier Inc. All rights reserved.

  18. Authoring of Learning Objects in Context

    Science.gov (United States)

    Specht, Marcus; Kravcik, Milos

    2006-01-01

    Learning objects and content interchange standards provide new possibilities for e-learning. Nevertheless the content often lacks context data to find appropriate use for adaptive learning on demand and personalized learning experiences. In the Remotely Accessible Field Trips (RAFT) project mobile authoring of learning content in context has shown…

  19. An Introduction to Deep Learning with Keras

    CERN Multimedia

    CERN. Geneva

    2016-01-01

    Keras is a modular, powerful and intuitive open-source Deep Learning library built on Theano and TensorFlow. Thanks to its minimalist, user-friendly interface, it has become one of the most popular packages to build, train and test neural networks, for both beginners and experts. In this tutorial, we will start with an introduction of the basics of neural networks and will work through fully functioning examples, with an eye towards deployment strategies within the context of CERN. Fundamental steps and parameters in Deep Learning will be presented both from a conceptual and a practical standpoint, by looking at the way Keras implements them and exposes them to the users. Please visit the [Keras website][1] prior to the workshop for installation instructions and feel free to reach out for any issue. [1]: http://keras.io/#installation

  20. Database functionality for learning objects

    NARCIS (Netherlands)

    Sessink, O.D.T.; Beeftink, H.H.; Hartog, R.J.M.

    2005-01-01

    The development of student-activating digital learning material in six research projects revealed several shortcomings in the current learning management systems. Once the SCORM 2004 and the IMS Sharable State Persistence specifications are implemented in learning management systems, some of these

  1. Using Learning Games to Meet Learning Objectives

    DEFF Research Database (Denmark)

    Henriksen, Thomas Duus

    2013-01-01

    This paper addresses the question on how learning games can be used to meet with the different levels in Bloom’s and the SOLO taxonomy, which are commonly used for evaluating the learning outcome of educational activities. The paper discusses the quality of game-based learning outcomes based on a...... on a case study of the learning game 6Styles....

  2. Improving learning of anatomy with reusable learning objects

    Directory of Open Access Journals (Sweden)

    P Rad

    2015-12-01

    Full Text Available Introduction: The use of modern educational technologies is useful for learning, durability, sociability, and upgrading professionalism. The aim of this study was evaluating the effect of reusable learning objects on improving learning of anatomy. Methods: This was a quasi-experimental study. Fourteen (reusable learning objects RLO from different parts of anatomy of human body including thorax, abdomen, and pelvis were prepared for medical student in Yasuj University of Medical Sciences in 2009. The length of the time for RLO was between 11-22 min. Because their capacities were low, so they were easy to use with cell phone or MP4. These materials were available to the students before the classes. The mean scores of students in anatomy of human body group were compared to the medical students who were not used this method and entered the university in 2008. A questionnaire was designed by the researcher to evaluate the effect of RLO and on, content, interest and motivation, participation, preparation and attitude. Result: The mean scores of anatomy of human body of medical student who were entered the university in 2009 have been increased compare to the students in 2008, but this difference was not significant. Based on the questionnaire data, it was shown that the RLO had a positive effect on improving learning anatomy of human body (75.5% and the effective relationship (60.6%. The students were interested in using RLO (74.6%, some students (54.2% believed that this method should be replaced by lecture. Conclusion: The use of RLO could promote interests and effective communication among the students and led to increasing self-learning motivation.

  3. Stacked generalization: an introduction to super learning.

    Science.gov (United States)

    Naimi, Ashley I; Balzer, Laura B

    2018-04-10

    Stacked generalization is an ensemble method that allows researchers to combine several different prediction algorithms into one. Since its introduction in the early 1990s, the method has evolved several times into a host of methods among which is the "Super Learner". Super Learner uses V-fold cross-validation to build the optimal weighted combination of predictions from a library of candidate algorithms. Optimality is defined by a user-specified objective function, such as minimizing mean squared error or maximizing the area under the receiver operating characteristic curve. Although relatively simple in nature, use of Super Learner by epidemiologists has been hampered by limitations in understanding conceptual and technical details. We work step-by-step through two examples to illustrate concepts and address common concerns.

  4. LONS: Learning Object Negotiation System

    Science.gov (United States)

    García, Antonio; García, Eva; de-Marcos, Luis; Martínez, José-Javier; Gutiérrez, José-María; Gutiérrez, José-Antonio; Barchino, Roberto; Otón, Salvador; Hilera, José-Ramón

    This system comes up as a result of the increase of e-learning systems. It manages all relevant modules in this context, such as the association of digital rights with the contents (courses), management and payment processing on rights. There are three blocks:

  5. Constraints on reusability of learning objects

    DEFF Research Database (Denmark)

    May, Michael; Hussmann, Peter Munkebo; Jensen, Anne Skov

    2010-01-01

    It is the aim of this paper to discuss some didactic constraints on the use and reuse of digital modular learning objects. Engineering education is used as the specific context of use with examples from courses in introductory electronics and mathematics. Digital multimedia and modular learning....... Constraints on reuse arise from the nature of conceptual understanding in higher education and the functionality of learning objects within present technologies. We will need didactic as well as technical perspectives on learning objects in designing for understanding....

  6. Unifying Learning Object Repositories in MACE

    NARCIS (Netherlands)

    Prause, Christian; Ternier, Stefaan; De Jong, Tim; Apelt, Stefan; Scholten, Marius; Wolpers, Martin; Eisenhauer, Markus; Vandeputte, Bram; Specht, Marcus; Duval, Erik

    2007-01-01

    Prause, C., Ternier, S., De Jong, T., Apelt, S., Scholten, M., Wolpers, M., et al. (2007). Unifying Learning Object Repositories in MACE. In D. Massart, J.-N. Colin & F. V. Assche (Eds.). Proceedings of the First International Workshop on Learning Object Discovery & Exchange (LODE'07). September,

  7. Tagging the didactic functionality of learning objects

    DEFF Research Database (Denmark)

    Hansen, Per Skafte; Brostroem, Stig

    2002-01-01

    From a components-in-a-network point of view, the most important issues are: a didactically based typing of the learning objects themselves; the entire design superstructure, into which the learning objects must be fitted; and the symmetry of the interfaces, as seen by each pair of the triad...

  8. Learning models of activities involving interacting objects

    DEFF Research Database (Denmark)

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.

    2013-01-01

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were t...

  9. Transforming existing content into reusable Learning Objects

    NARCIS (Netherlands)

    Doorten, Monique; Giesbers, Bas; Janssen, José; Daniels, Jan; Koper, Rob

    2003-01-01

    Please cite as: Doorten, M., Giesbers, B., Janssen, J., Daniëls, J, & Koper, E.J.R., (2004). Transforming existing content into reusable learning objects. In R. McGreal, Online Education using Learning Objects (pp. 116-127). London: RoutledgeFalmer.

  10. Object recognition and concept learning with Confucius

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, B; Sammut, C

    1982-01-01

    A learning program produces, as its output, a Boolean function which describes a concept. The function returns true if and only if the argument is an object which satisfies the logical expression in the body of the function. The learning program's input is a set of objects which are instances of the concept to be learnt. The paper describes an algorithm devised to learn concept descriptions in this form. 15 references.

  11. Authoring Systems Delivering Reusable Learning Objects

    Directory of Open Access Journals (Sweden)

    George Nicola Sammour

    2009-10-01

    Full Text Available A three layer e-learning course development model has been defined based on a conceptual model of learning content object. It starts by decomposing the learning content into small chunks which are initially placed in a hierarchic structure of units and blocks. The raw content components, being the atomic learning objects (ALO, were linked to the blocks and are structured in the database. We set forward a dynamic generation of LO's using re-usable e-learning raw materials or ALO’s In that view we need a LO authoring/ assembling system fitting the requirements of interoperability and reusability and starting from selecting the raw learning content from the learning materials content database. In practice authoring systems are used to develop e-learning courses. The company EDUWEST has developed an authoring system that is database based and will be SCORM compliant in the near future.

  12. Repurposeable Learning Objects Linked to Teaching and Learning Styles

    Directory of Open Access Journals (Sweden)

    Jeremy Dunning

    2004-02-01

    Full Text Available Multimedia learning objects are an essential component of high quality, technology-mediated instruction. Learning objects allow the student to use the content learned in a particular part of a course and; 1. demonstrate mastery of the content, 2. apply that knowledge to solving a problem, and 3. use the content in a critical thinking exercise that both demonstrates mastery and allows the student to place the content within the context of the larger topic of the course. The difficulty associated with the use of learning objects on a broad scale is that they require programming skills most professors and instructors do not possess. Learning objects also tend to be custom productions and are defined in terms of the programming and code terminology, further limiting the professor's ability to understand how they are created. Learning objects defined in terms of styles of learning and teaching allow professors and instructors to develop a deeper understanding of the learning objects and the design process. A set of learning objects has been created that are designed for some of the important styles of learning and teaching. They include; visual learning, writing skills, critical thinking, time-revealed scenarios, case studies and empirical observation. The learning objects are designed and described in terms that the average instructor can readily understand , redesign and incorporate into their own courses. They are also designed in such a way that they can readily be repurposed for new applications in other courses and subject areas, with little or no additional programming.

  13. Learning Object Retrieval and Aggregation Based on Learning Styles

    Science.gov (United States)

    Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel

    2017-01-01

    The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…

  14. Educational Rationale Metadata for Learning Objects

    Directory of Open Access Journals (Sweden)

    Tom Carey

    2002-10-01

    Full Text Available Instructors searching for learning objects in online repositories will be guided in their choices by the content of the object, the characteristics of the learners addressed, and the learning process embodied in the object. We report here on a feasibility study for metadata to record process-oriented information about instructional approaches for learning objects, though a set of Educational Rationale [ER] tags which would allow authors to describe the critical elements in their design intent. The prototype ER tags describe activities which have been demonstrated to be of value in learning, and authors select the activities whose support was critical in their design decisions. The prototype ER tag set consists descriptors of the instructional approach used in the design, plus optional sub-elements for Comments, Importance and Features which implement the design intent. The tag set was tested by creators of four learning object modules, three intended for post-secondary learners and one for K-12 students and their families. In each case the creators reported that the ER tag set allowed them to express succinctly the key instructional approaches embedded in their designs. These results confirmed the overall feasibility of the ER tag approach as a means of capturing design intent from creators of learning objects. Much work remains to be done before a usable ER tag set could be specified, including evaluating the impact of ER tags during design to improve instructional quality of learning objects.

  15. THE BLENDED LEARNING OF ELECTRICITY USING LEARNING OBJECTS IN ENGINEERING

    Directory of Open Access Journals (Sweden)

    Lilia Maria Siqueira

    2010-09-01

    Full Text Available This work presents a proposal for the blended learning of Electricity education in Engineering, using resources called learning objects. The experience occurred with students enrolled on the Electrical Engineering and Computer Engineering courses at PUCPR University. It made possible the contact with interdisciplinary themes related to the study of electricity and the professional curriculum contents. The learning objects, offered during the semester, were anchored on PUCPR’s proprietary virtual educational environment, called Eureka. The students’ evaluation results showed that the study through learning objects in a virtual environment is significant for learning.

  16. Predictable Locations Aid Early Object Name Learning

    Science.gov (United States)

    Benitez, Viridiana L.; Smith, Linda B.

    2012-01-01

    Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18-month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The…

  17. Learning Objects, Repositories, Sharing and Reusability

    Science.gov (United States)

    Koppi, Tony; Bogle, Lisa; Bogle, Mike

    2005-01-01

    The online Learning Resource Catalogue (LRC) Project has been part of an international consortium for several years and currently includes 25 institutions worldwide. The LRC Project has evolved for several pragmatic reasons into an academic network whereby members can identify and share reusable learning objects as well as collaborate in a number…

  18. An introduction to quantum machine learning

    OpenAIRE

    Schuld, M.; Sinayskiy, I.; Petruccione, F.

    2014-01-01

    Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum compute...

  19. An introduction to quantum machine learning

    Science.gov (United States)

    Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco

    2015-04-01

    Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum computer to the translation of stochastic methods into the language of quantum theory. This contribution gives a systematic overview of the emerging field of quantum machine learning. It presents the approaches as well as technical details in an accessible way, and discusses the potential of a future theory of quantum learning.

  20. 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!

  1. Introduction. Buildings and objects: the Rococo and after’

    Directory of Open Access Journals (Sweden)

    Kristel Smentek

    2013-12-01

    Full Text Available As a discipline, art history has tended to privilege fine art and architecture over the so-called decorative or applied arts. In practice, however, the boundaries between designing buildings, producing paintings, and crafting things were not always clearly drawn. The papers published here contribute to the ongoing rethinking of the conceptual divisions that have long structured art history’s fields of inquiry. They do so by examining the interrelationships between objects and buildings in the long eighteenth century, the period in which the fine and applied arts were discursively, though not practically, distinguished from one another.

  2. Introduction to section 1 - Learning as a process

    DEFF Research Database (Denmark)

    Sriskandarajah, Nadarajah; Cerf, Marianne; Noe, Egon

    2006-01-01

    As an introduction to the workshop where 18 papers and posters were presented on the theme of ‘Learning as a Process’, the linked nature of the learning – knowing – acting field in rural development in Europe is emphasised. The workshop took up the issues of human interactions in foster learning...... processes, capacity building and development of collective action as a bottom-up process....

  3. OBJECTIVES AND PROCESSES OF SECOND LANGUAGE LEARNING.

    Science.gov (United States)

    SIZEMORE, MAMIE

    THE OBJECTIVES OF SECOND LANGUAGE TEACHING, AND SPECIFIC DIRECTIONS FOR PRESENTING AND DRILLING STRUCTURES BY THE USE OF CERTAIN GESTURES, WERE PRESENTED. RECOMMENDATIONS FOR CONCENTRATING EFFORTS ON THE ESSENTIALS OF LANGUAGE LEARNING REVOLVED AROUND AN EMPHASIS ON THE TEACHING OF THE LANGUAGE ITSELF RATHER THAN ABOUT ITS HISTORY, VOCABULARY,…

  4. Learning in Organizations - an Object Relations Perspective

    DEFF Research Database (Denmark)

    Andersen, Anders Siig

    Learning in organizations – an object relations perspective As a researcher with a primary interest in the study of learning environments in organizations I have conducted a number of empirical research projects primarily concerning work places in the state sector. The aim of the research has been...... of organizations as learning environments for the employees. Theoretically I draw on object relations theory. Within this tradition the theoretical point of departure is twofold: the study of work conditions in hospitals carried out by Menzies (1975) and Hinschelwood & Skogstad (2000). With regard to the first...... positive and negative impact do they have with respect to the staff itself? With regard to Hinschelwood & Skogstad (2000) they are introduced to further develop and contrast Menzies’ theoretical ideas. Instead of only emphasizing the connection between the work organization and the defence techniques...

  5. Towards a semantic learning model fostering learning object reusability

    OpenAIRE

    Fernandes , Emmanuel; Madhour , Hend; Wentland Forte , Maia; Miniaoui , Sami

    2005-01-01

    We try in this paper to propose a domain model for both author's and learner's needs concerning learning objects reuse. First of all, we present four key criteria for an efficient authoring tool: adaptive level of granularity, flexibility, integration and interoperability. Secondly, we introduce and describe our six-level Semantic Learning Model (SLM) designed to facilitate multi-level reuse of learning materials and search by defining a multi-layer model for metadata. Finally, after mapping ...

  6. Learning from medical data streams: an introduction

    NARCIS (Netherlands)

    Pereira Rodrigues, P.; Pechenizkiy, M.; Gaber, M.M.; Gama, J.

    2011-01-01

    Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data. Machine learning from medical data streams is a recent area of research that aims to provide better knowledge

  7. Talking and Learning in Classrooms: An Introduction.

    Science.gov (United States)

    Barnes, Douglas

    1995-01-01

    Suggests that the kinds of participation in the classroom conversation that are supported and encouraged by a teacher signals to students what learning is required of them. Introduces the articles in this special issue by discussing the ideas of Jerome Bruner, Lev Vygotsky, James Britton, and Mikhail Bakhtin. (RS)

  8. Students’ Views on Different Learning Objects Types

    DEFF Research Database (Denmark)

    Natsis, Antonios; Hormova, Hara; Mikropoulos, Tassos

    2014-01-01

    of different type: an educational game, a dynamic simulation and a digital concept map. The basic difference among these three LOs is the fact that both dynamic simulation and concept map are lacking game-like characteristics. The educational game has as a learning goal to familiarize students......The paper attempts to compare students’ views on three different Learning Objects (LOs), also known as Web-Based Learning Tools (WBLTs), which are used for educational purposes aiming at natural disaster readiness. Following an iterative development process, 100 LOs of various types are being...... they will be protected during the earthquake. The educational game comprises of 9 levels of ascending difficulty that have to be completed so as the game to be ended. The dynamic simulation aims to familiarize students with the causes of fog. In that context, they move temperature, wind and humidity bars and thus...

  9. Learning Ontology from Object-Relational Database

    Directory of Open Access Journals (Sweden)

    Kaulins Andrejs

    2015-12-01

    Full Text Available This article describes a method of transformation of object-relational model into ontology. The offered method uses learning rules for such complex data types as object tables and collections – arrays of a variable size, as well as nested tables. Object types and their transformation into ontologies are insufficiently considered in scientific literature. This fact served as motivation for the authors to investigate this issue and to write the article on this matter. In the beginning, we acquaint the reader with complex data types and object-oriented databases. Then we describe an algorithm of transformation of complex data types into ontologies. At the end of the article, some examples of ontologies described in the OWL language are given.

  10. Intelligent Discovery for Learning Objects Using Semantic Web Technologies

    Science.gov (United States)

    Hsu, I-Ching

    2012-01-01

    The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…

  11. Checklist for Evaluating SREB-SCORE Learning Objects

    Science.gov (United States)

    Southern Regional Education Board (SREB), 2007

    2007-01-01

    This checklist is based on "Evaluation Criteria for SREB-SCORE Learning Objects" and is designed to help schools and colleges determine the quality and effectiveness of learning objects. It is suggested that each learning object be rated to the extent to which it meets the criteria and the SREB-SCORE definition of a learning object. A learning…

  12. 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 ...

  13. A Learning Object Approach To Evidence based learning

    Directory of Open Access Journals (Sweden)

    Zabin Visram

    2005-06-01

    Full Text Available This paper describes the philosophy, development and framework of the body of elements formulated to provide an approach to evidence-based learning sustained by Learning Objects and web based technology Due to the demands for continuous improvement in the delivery of healthcare and in the continuous endeavour to improve the quality of life, there is a continuous need for practitioner's to update their knowledge by accomplishing accredited courses. The rapid advances in medical science has meant increasingly, there is a desperate need to adopt wireless schemes, whereby bespoke courses can be developed to help practitioners keep up with expanding knowledge base. Evidently, without current best evidence, practice risks becoming rapidly out of date, to the detriment of the patient. There is a need to provide a tactical, operational and effective environment, which allows professional to update their education, and complete specialised training, just-in-time, in their own time and location. Following this demand in the marketplace the information engineering group, in combination with several medical and dental schools, set out to develop and design a conceptual framework which form the basis of pioneering research, which at last, enables practitioner's to adopt a philosophy of life long learning. The body and structure of this framework is subsumed under the term Object oriented approach to Evidence Based learning, Just-in-time, via Internet sustained by Reusable Learning Objects (The OEBJIRLO Progression. The technical pillars which permit this concept of life long learning are pivoted by the foundations of object oriented technology, Learning objects, Just-in-time education, Data Mining, intelligent Agent technology, Flash interconnectivity and remote wireless technology, which allow practitioners to update their professional skills, complete specialised training which leads to accredited qualifications. This paper sets out to develop and

  14. A Learning Object Approach To Evidence based learning

    OpenAIRE

    Zabin Visram; Bruce Elson; Patricia Reynolds

    2005-01-01

    This paper describes the philosophy, development and framework of the body of elements formulated to provide an approach to evidence-based learning sustained by Learning Objects and web based technology Due to the demands for continuous improvement in the delivery of healthcare and in the continuous endeavour to improve the quality of life, there is a continuous need for practitioner's to update their knowledge by accomplishing accredited courses. The rapid advances in medical science has mea...

  15. Introduction to Problem Based Learning for Engineering Education

    DEFF Research Database (Denmark)

    Moesby, Egon; Rosenørn, Torben

    2003-01-01

    Documentation material and working papers for the workshop "Introduction to Problem Based Learning for Engineering Education" held at Chiang Mai University, Chiang Mai, Thailand, 6 - 10 October 2003. The material support the workshop where the participants go through a complete pre-planning cycle...

  16. Mere exposure alters category learning of novel objects

    Directory of Open Access Journals (Sweden)

    Jonathan R Folstein

    2010-08-01

    Full Text Available We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning.

  17. Mere exposure alters category learning of novel objects.

    Science.gov (United States)

    Folstein, Jonathan R; Gauthier, Isabel; Palmeri, Thomas J

    2010-01-01

    We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning.

  18. Dynamic Learning Objects to Teach Java Programming Language

    Science.gov (United States)

    Narasimhamurthy, Uma; Al Shawkani, Khuloud

    2010-01-01

    This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…

  19. Deep Learning through Reusable Learning Objects in an MBA Program

    Science.gov (United States)

    Rufer, Rosalyn; Adams, Ruifang Hope

    2013-01-01

    It has well been established that it is important to be able to leverage any organization's processes and core competencies to sustain its competitive advantage. Thus, one learning objective of an online MBA is to teach students how to apply the VRIO (value, rarity, inimitable, operationalized) model, developed by Barney and Hesterly (2006), in…

  20. Constraints on Perceptual Learning: Objects and Dimensions.

    Science.gov (United States)

    Bedford, Felice L.

    1995-01-01

    Addresses two questions that may be unique to perceptual learning: What are the circumstances that produce learning? and What is the content of learning? Suggests a critical principle for each question. Provides a discussion of perceptual learning theory, how learning occurs, and what gets learned. Includes a 121-item bibliography. (DR)

  1. Introduction

    Science.gov (United States)

    Kirby, Evan N.

    2018-06-01

    Dwarf galaxies are excellent laboratories of chemical evolution. Many dwarf galaxies have simple star formation histories with very low average star formation rates. These conditions simplify models of chemical evolution and facilitate the identification of sites of nucleosynthesis. Dwarf galaxies also host extremely metal-poor stars, which sample the ejecta of the first generations of supernovae in the universe. This meeting-in-a-meeting, "Stellar Abundances in Dwarf Galasxies," will recognize the importance of dwarf galaxies in learning about the creation and evolution of the elements. Topics include: * the most metal-poor stars * the connection between dwarf galaxies and the Milky Way halo * dwarf galaxies as the paragons of r-process nucleosynthesis * modern techniques in stellar abundance measurements * recent advances in chemical evolution modelingI will give a very brief introduction to set the stage for the meeting.

  2. Elaboration of Statistics Learning Objects for Mobile Devices

    Directory of Open Access Journals (Sweden)

    Francisco Javier Tapia Moreno

    2012-04-01

    Full Text Available Mobile learning (m-learning allows a person to study using a mobile computer device anywhere and anytime. In this work we report the elaboration of learning objects for the teaching of introductory statistics using cellular phones.

  3. Patterns of Learning Object Reuse in the Connexions Repository

    Science.gov (United States)

    Duncan, S. M.

    2009-01-01

    Since the term "learning object" was first published, there has been either an explicit or implicit expectation of reuse. There has also been a lot of speculation about why learning objects are, or are not, reused. This study quantitatively examined the actual amount and type of learning object use, to include reuse, modification, and translation,…

  4. Influence of the order of introduction of a set of objectives in IMRT treatment schedules prostate

    International Nuclear Information System (INIS)

    Maravilla Limorte, M.; Gomez Martin, C.; Alonso Iracheta, L.; Bejar Navarro, M. J.; Capuz Suarez, A. B.; Comenares Fernandez, R.; Moris Pablos, R.; Rot Sanjuan, M. J.

    2011-01-01

    The purpose of this paper is to analyze to what extent could influence the order in which you enter the target calculation algorithm of planning. For this, assesses the implications-both-dosimetric calculation as derived from the implementation of 3 IMRT optimization methods, which only differ in regard to the order of introduction of a fixed set of objectives.

  5. An Investigation on the Correlation of Learner Styles and Learning Objects Characteristics in a Proposed Learning Objects Management Model (LOMM)

    Science.gov (United States)

    Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit

    2016-01-01

    The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…

  6. Learning objects and interactive whiteboards: a evaluation proposal of learning objects for mathematics teaching

    Directory of Open Access Journals (Sweden)

    Silvio Henrique Fiscarelli

    2016-05-01

    Full Text Available The current conditions of the classroom learning tend to be a one-way process based in teacher exposition, this make a negative impact on learning make it a mechanical and not meaningful activity. One possibility to improve the quality of teaching is to innovate methodologies and varying forms of presenting information to students, such as the use of technology in the teaching process. The Interactive Whiteboard (IBW is one of the technologies that are being implemented in Brazilian schools. One of the promising possibilities to add value to the use of LDI in classroom are "learning objects" (LO. However, one problem is that often the LO are not fully suited to the dynamics of IWB, whether functional or pedagogical point of view. The objective of this study is to analyze and propose a set of indicators that evaluate the learning objects for use in conjunction with Interactive Whiteboards. The selection and definition of evaluation indicators was carried from the literature review on the subject and based on LDI experiences of use in Municipal Elementary School. After defining the set of indicators was conducted a evaluation of a sample of 30 OA utilized to teaching mathematics in 3rd grade of elementary school. The results of the evaluation indicate that the proposed indicators are suitable for a pre-analysis of OA and assisting in the process of selection of these.

  7. Learning object repositories as knowledge management systems

    Directory of Open Access Journals (Sweden)

    Demetrios G. Sampson

    2013-06-01

    Full Text Available Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their creators for open access and potential reuse. Nevertheless, most of the existing LORs are designed more as digital repositories, rather than as Knowledge Management Systems (KMS. By exploiting KMSs functionalities in LORs would bare the potential to support the organization and sharing of educational communities’ explicit knowledge (depicted in digital educational resources constructed by teachers and/or instructional designers and tacit knowledge (depicted in teachers’ and students’ experiences and interactions of using digital educational resources available in LORs. Within this context, in this paper we study the design and the implementation of fourteen operating LORs from the KMSs’ perspective, so as to identify additional functionalities that can support the management of educational communities’ explicit and tacit knowledge. Thus, we propose a list of essential LORs’ functionalities, which aim to facilitate the organization and sharing of educational communities’ knowledge. Finally, we present the added value of these functionalities by identifying their importance towards addressing the current demands of web-facilitated educational communities, as well as the knowledge management activities that they execute.

  8. Introduction

    DEFF Research Database (Denmark)

    Kørnøv, Lone; Lund, Henrik; Remmen, Arne

    2004-01-01

    The chapter gives an introduction to the book "Environmental planning and management : tools for a sustainable development".......The chapter gives an introduction to the book "Environmental planning and management : tools for a sustainable development"....

  9. Introduction

    DEFF Research Database (Denmark)

    Høgfeldt Hansen, Leif

    2016-01-01

    This introduction to South Korean architecture gives an overall view of the architecture done in the country in historic times as well as a general introduction to the culture of the country.......This introduction to South Korean architecture gives an overall view of the architecture done in the country in historic times as well as a general introduction to the culture of the country....

  10. Participative Knowledge Production of Learning Objects for E-Books.

    Science.gov (United States)

    Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma

    2002-01-01

    Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…

  11. The Game Object Model and expansive learning: Creation ...

    African Journals Online (AJOL)

    The Game Object Model and expansive learning: Creation, instantiation, ... The aim of the paper is to develop insights into the design, integration, evaluation and use of video games in learning and teaching. ... AJOL African Journals Online.

  12. Learning User Preferences for Sets of Objects

    Science.gov (United States)

    desJardins, Marie; Eaton, Eric; Wagstaff, Kiri L.

    2006-01-01

    Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of items. Our learning method takes as input a collection of positive examples--that is, one or more sets that have been identified by a user as desirable. Kernel density estimation is used to estimate the value function for individual items, and the desired set diversity is estimated from the average set diversity observed in the collection. Since this is a new learning problem, we introduce a new evaluation methodology and evaluate the learning method on two data collections: synthetic blocks-world data and a new real-world music data collection that we have gathered.

  13. 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…

  14. Utopia2000: An Online Learning-Object Management Tool.

    Science.gov (United States)

    Aspillaga, Macarena

    2002-01-01

    Describes Utopia2002, a database that contains learning objects that enables faculty to design and develop interactive Web-based instruction. Topics include advanced distributed learning; sharable content objects (SCOs) and sharable content object reference model (SCORM); instructional systems design process; templates; and quality assurance. (LRW)

  15. Design of Learning Objects for Concept Learning: Effects of Multimedia Learning Principles and an Instructional Approach

    Science.gov (United States)

    Chiu, Thomas K. F.; Churchill, Daniel

    2016-01-01

    Literature suggests using multimedia learning principles in the design of instructional material. However, these principles may not be sufficient for the design of learning objects for concept learning in mathematics. This paper reports on an experimental study that investigated the effects of an instructional approach, which includes two teaching…

  16. An Exploratory Study into the Efficacy of Learning Objects

    Directory of Open Access Journals (Sweden)

    Nicholas W. Farha, Ph.D.

    2009-07-01

    Full Text Available Learning objects have quickly become a widely accepted approach to instructional technology, particularly in on-line and computer-based learning environments. While there is a substantial body of literature concerning learning objects, very little of it verifies their efficacy. This research investigated the effectiveness of learning objects by comparing learning outcomes using a learning object with outcomes using a traditional textbook-based method of instruction. Participants were 327 undergraduate college students at a traditional public four-year coed institution, a private four-year women’s college, a private four-year engineering institution, and a public two-year community college. Through a series of independent samples t-tests and Analyses of Variance, results revealed mean scores for the learning object group that were nearly three times higher than the mean scores for the textbook-taught group. Gaming experience, age, gender, and learner preference were evaluated for their potential influence on the results; no statistically significant differences were found, implying that the learning object itself was central to the outcomes achieved. The future of learning objects is bright, and more empirical research is called for in the area of learning object effectiveness.

  17. Introduction

    DEFF Research Database (Denmark)

    Jensen, Rasmus Thybo; Moran, Dermot

    2012-01-01

    An introduction to a special issue of Phenomenology and the Cognitive Sciences dedicated to empathy and the direct perception approach to other minds......An introduction to a special issue of Phenomenology and the Cognitive Sciences dedicated to empathy and the direct perception approach to other minds...

  18. Introduction

    DEFF Research Database (Denmark)

    Søbjerg, Lene Mosegaard

    2016-01-01

    Introduction to anthology which provides the theoretical basis of an Erasmus+ project involving marginalised young people, practitioners, students and academics in co-creating a teaching module for the social professions.......Introduction to anthology which provides the theoretical basis of an Erasmus+ project involving marginalised young people, practitioners, students and academics in co-creating a teaching module for the social professions....

  19. 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…

  20. Active learning and decision making: an introduction to the collection.

    Science.gov (United States)

    Gottlieb, Jacqueline; Lopes, Manuel; Oudeyer, Pierre-Yves

    2014-01-01

    The importance of exploratory behaviors by which agents actively sample information has been long appreciated in a wide range of disciplines ranging from machine and robot learning to neuroscience and psychology.  Given the complexity of these behaviors, progress in understanding them will require a confluence of ideas from these multiple fields.  This collection of articles in F1000Research aims to provide a home for a broad range of studies addressing this topic, including full length research articles, brief communications, single figure studies, and review/opinion articles, and studies using computational, behavioral or neural approaches.  Here, we provide an introduction to the collection which we hope will grow and become a valuable resource for the researchers exploring this topic.

  1. Introduction to spiking neural networks: Information processing, learning and applications.

    Science.gov (United States)

    Ponulak, Filip; Kasinski, Andrzej

    2011-01-01

    The concept that neural information is encoded in the firing rate of neurons has been the dominant paradigm in neurobiology for many years. This paradigm has also been adopted by the theory of artificial neural networks. Recent physiological experiments demonstrate, however, that in many parts of the nervous system, neural code is founded on the timing of individual action potentials. This finding has given rise to the emergence of a new class of neural models, called spiking neural networks. In this paper we summarize basic properties of spiking neurons and spiking networks. Our focus is, specifically, on models of spike-based information coding, synaptic plasticity and learning. We also survey real-life applications of spiking models. The paper is meant to be an introduction to spiking neural networks for scientists from various disciplines interested in spike-based neural processing.

  2. Introduction

    International Nuclear Information System (INIS)

    Kadirov, A.Kh.; Khaydarov, K.Kh.; Giyosov, A.Sh.

    2000-01-01

    In the introduction authors describe book in general and in particular describe the ways and methods of direct synthesis on the base of different derivatives of cholanic acids and receiving of line of corresponding ethers which have practical properties

  3. Introduction

    DEFF Research Database (Denmark)

    Henkel, Anna; Åkerstrøm Andersen, Niels

    2015-01-01

    An introduction is presented in which the authors discuss various reports within the issue on topics including the concept of responsibility, the discourse about responsibility, and the attribution of responsibility in an interdisciplinary context.......An introduction is presented in which the authors discuss various reports within the issue on topics including the concept of responsibility, the discourse about responsibility, and the attribution of responsibility in an interdisciplinary context....

  4. Form over Substance: Learning Objectives in the Business Core

    Science.gov (United States)

    Stokes, Leonard; Rosetti, Joseph L.; King, Michelle

    2010-01-01

    While members of the business faculty community have been advocating active learning in the classroom, it appears that textbooks encourage learning from a passive perspective. A review of learning objectives from 16 textbooks used in Financial Accounting, Managerial Accounting, Finance, and Marketing demonstrates a focus on basically the same set…

  5. Things to Say: Future Applications of Smart Objects in Learning

    Science.gov (United States)

    Preis, Kevin

    2008-01-01

    Smart object technology allows users to know something in real time about the physical objects in their presence. Each object, from cereal boxes to skyscrapers, becomes a source of information with which users can interact. Through a series of usage scenarios, the article explores the potential impact of smart objects on learning in formal and…

  6. Introduction

    DEFF Research Database (Denmark)

    Qvortrup, Ane; Wiberg, Merete; Christensen, Gerd

    2016-01-01

    Since the turn of the century the phenomenon of learning has received increasingly more attention. Within the theoretical field, a variety of theories of learning have evolved. The field of research on learning has become very complex, with different foci, founders and proponents, schools, and di...

  7. Learning Object-Orientation through ICT-mediated Apprenticeship

    DEFF Research Database (Denmark)

    Fjuk, A.; Berge, O.; Bennedsen, J.

    2004-01-01

    In this paper, we show how sociocultural theories inform the design of a course in object-oriented programming. An essential learning objective within this philosophy is the programming processes as such. To move toward this learning goal, the course design incorporates a combination of the so...

  8. Searching for and Positioning of Contextualized Learning Objects

    Science.gov (United States)

    Baldiris, Silvia; Graf, Sabine; Fabregat, Ramon; Mendez, Nestor Dario Duque

    2012-01-01

    Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong…

  9. 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.

  10. 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.

  11. On the Concepts of Usability and Reusability of Learning Objects

    Directory of Open Access Journals (Sweden)

    Miguel-Angel Sicilia

    2003-10-01

    Full Text Available “Reusable learning objects” oriented towards increasing their potential reusability are required to satisfy concerns about their granularity and their independence of concrete contexts of use. Such requirements also entail that the definition of learning object “usability,” and the techniques required to carry out their “usability evaluation” must be substantially different from those commonly used to characterize and evaluate the usability of conventional educational applications. In this article, a specific characterization of the concept of learning object usability is discussed, which places emphasis on “reusability,” the key property of learning objects residing in repositories. The concept of learning object reusability is described as the possibility and adequacy for the object to be usable in prospective educational settings, so that usability and reusability are considered two interrelated – and in many cases conflicting – properties of learning objects. Following the proposed characterization of two characteristics or properties of learning objects, a method to evaluate usability of specific learning objects will be presented.

  12. Generative Learning Objects Instantiated with Random Numbers Based Expressions

    Directory of Open Access Journals (Sweden)

    Ciprian Bogdan Chirila

    2015-12-01

    Full Text Available The development of interactive e-learning content requires special skills like programming techniques, web integration, graphic design etc. Generally, online educators do not possess such skills and their e-learning products tend to be static like presentation slides and textbooks. In this paper we propose a new interactive model of generative learning objects as a compromise betweenstatic, dull materials and dynamic, complex software e-learning materials developed by specialized teams. We find that random numbers based automatic initialization learning objects increases content diversity, interactivity thus enabling learners’ engagement. The resulted learning object model is at a limited level of complexity related to special e-learning software, intuitive and capable of increasing learners’ interactivity, engagement and motivation through dynamic content. The approach was applied successfully on several computer programing disciplines.

  13. Introduction

    Directory of Open Access Journals (Sweden)

    Jonathan Carson

    2011-08-01

    Full Text Available

    Abstract: Written as Carson & Miller, collaborative artists who explore narrative and the places where narrative intersects with material culture and everyday experience, this introduction presents the stakes of the larger project that entails the exhibition The Story of Things (2009, the conference The Story of Things: reading narrative in the visual (2010 and the double issue of Image (& Narrative. It mainly focuses on the interdisciplinary approaches to the relationship between object and storytelling.

     

    Résumé: Portant la double signature de Carson & Miller, un duo d'artistes avec un intérêt particulier pour la narration et les rapports entre les interaction entre culture ordinaire et  manières de raconter, cette introduction présente les enjeux du projet plus large qui regroupe une exposition

  14. ROBOT LEARNING OF OBJECT MANIPULATION TASK ACTIONS FROM HUMAN DEMONSTRATIONS

    Directory of Open Access Journals (Sweden)

    Maria Kyrarini

    2017-08-01

    Full Text Available Robot learning from demonstration is a method which enables robots to learn in a similar way as humans. In this paper, a framework that enables robots to learn from multiple human demonstrations via kinesthetic teaching is presented. The subject of learning is a high-level sequence of actions, as well as the low-level trajectories necessary to be followed by the robot to perform the object manipulation task. The multiple human demonstrations are recorded and only the most similar demonstrations are selected for robot learning. The high-level learning module identifies the sequence of actions of the demonstrated task. Using Dynamic Time Warping (DTW and Gaussian Mixture Model (GMM, the model of demonstrated trajectories is learned. The learned trajectory is generated by Gaussian mixture regression (GMR from the learned Gaussian mixture model.  In online working phase, the sequence of actions is identified and experimental results show that the robot performs the learned task successfully.

  15. Learning Objectives for Master's theses at DTU Management Engineering

    DEFF Research Database (Denmark)

    Hansen, Claus Thorp; Rasmussen, Birgitte; Hinz, Hector Nøhr

    2010-01-01

    , different. The DTU Study Handbook states that:”Learning objectives are an integrated part of the supervision”, which provides you with the opportunity – naturally in cooperation with your supervisor – to formulate learning objectives for your Master's thesis. There are at least three good reasons for being...... that you formulate precise and useful learning objectives for your Master's thesis. These notes of inspiration have been written to help you do exactly this. The notes discuss the requirements for the learning objectives, examples of learning objectives and the assessment criteria defined by DTU Management...... Engineering as well as, but not least, some useful things to remember concerning your submission and the assessment of the Master's thesis. DTU Management Engineering Claus Thorp Hansen Birgitte Rasmussen Hector Nøhr Hinz © DTU Management Engineering 2010 ISBN nr. 978-87-90855-94-7 This document...

  16. A Critique of Stephen Downes' "Learning Objects": A Chinese perspective

    Directory of Open Access Journals (Sweden)

    Fuhua (Oscar Lin

    2001-07-01

    Full Text Available This paper by Stephen Downes recommends a way of sharing online teaching/ course materials to accelerate course development and make education more cost-effective. His paper is a review of basic information about learning objects (LOs and includes examples that illustrate such technical terms as XML and TML. His paper, however, does not identify several important issues such as: a the level of granularity of learning objects; b selection and integration of learning objects in an appropriate way to form higher level units of study; c training of professors in the use of learning objects; d appropriate use of metadata to facilitate composition of higher level units; and e the potential of computer agents to facilitate the dynamic composition of personalized lessons. An unorganized aggregate of learning objects simply does not constitute a course. In order to create a properly designed final course, student and instructor interaction must be built in.

  17. Assessing Complex Learning Objectives through Analytics

    Science.gov (United States)

    Horodyskyj, L.; Mead, C.; Buxner, S.; Semken, S. C.; Anbar, A. D.

    2016-12-01

    A significant obstacle to improving the quality of education is the lack of easy-to-use assessments of higher-order thinking. Most existing assessments focus on recall and understanding questions, which demonstrate lower-order thinking. Traditionally, higher-order thinking is assessed with practical tests and written responses, which are time-consuming to analyze and are not easily scalable. Computer-based learning environments offer the possibility of assessing such learning outcomes based on analysis of students' actions within an adaptive learning environment. Our fully online introductory science course, Habitable Worlds, uses an intelligent tutoring system that collects and responds to a range of behavioral data, including actions within the keystone project. This central project is a summative, game-like experience in which students synthesize and apply what they have learned throughout the course to identify and characterize a habitable planet from among hundreds of stars. Student performance is graded based on completion and accuracy, but two additional properties can be utilized to gauge higher-order thinking: (1) how efficient a student is with the virtual currency within the project and (2) how many of the optional milestones a student reached. In the project, students can use the currency to check their work and "unlock" convenience features. High-achieving students spend close to the minimum amount required to reach these goals, indicating a high-level of concept mastery and efficient methodology. Average students spend more, indicating effort, but lower mastery. Low-achieving students were more likely to spend very little, which indicates low effort. Differences on these metrics were statistically significant between all three of these populations. We interpret this as evidence that high-achieving students develop and apply efficient problem-solving skills as compared to lower-achieving student who use more brute-force approaches.

  18. Introduction

    International Nuclear Information System (INIS)

    Ainul Hayati Daud; Hazmimi Kasim

    2010-01-01

    Since the Atoms for Peace program in 1950s, peaceful applications of nuclear technology has been at the forefront of the development of many countries. In Malaysia, the development of nuclear technology began in earnest with the setting-up of Malaysian Nuclear Agency (Nuclear Malaysia) in 1972, then known as CRANE. More than thirty years later, today, the technology has gained footing and made impact to the development of the country. Her role in regional and international scenes in nuclear-related matters and nuclear technology was noticed and being given due attention. It is time to take stock of this development and assess its impact upon which further developments can be planned and strategized. That was the genesis of this study. This chapter presents a review of the status and development of nuclear technology globally and in Malaysia to provide a background for the report and the study. This is followed by an introduction to the study: its objectives, scope, methods of research, total population, sampling frame, selection procedures, target groups and data analysis. The chapter concludes with a guide to the organization of this report. The study was conducted with the aim of evaluating the impact and contribution of nuclear technology to socio-economic development of the country. It is also expected to identify issues and challenges faced by users of this technology. Even though the applications of nuclear technology encompass diverse human endeavors, this study focuses only in industrial, medical and agriculture sectors. The applications of nuclear technology in both public agencies and private companies in those sectors are considered. This is the first time such a study is being undertaken in Malaysia, and as a starting point, the three year period spanning 2006-2008 are taken as the time frame for discerning trends of nuclear technology development in the country. This study was also in an indirect sense motivated by similar studies conducted in the USA

  19. Learning Object Metadata in a Web-Based Learning Environment

    NARCIS (Netherlands)

    Avgeriou, Paris; Koutoumanos, Anastasios; Retalis, Symeon; Papaspyrou, Nikolaos

    2000-01-01

    The plethora and variance of learning resources embedded in modern web-based learning environments require a mechanism to enable their structured administration. This goal can be achieved by defining metadata on them and constructing a system that manages the metadata in the context of the learning

  20. Learning to Detect Human-Object Interactions

    KAUST Repository

    Chao, Yu-Wei; Liu, Yunfan; Liu, Xieyang; Zeng, Huayi; Deng, Jia

    2017-01-01

    In this paper we study the problem of detecting human-object interactions (HOI) in static images, defined as predicting a human and an object bounding box with an interaction class label that connects them. HOI detection is a fundamental problem in computer vision as it provides semantic information about the interactions among the detected objects. We introduce HICO-DET, a new large benchmark for HOI detection, by augmenting the current HICO classification benchmark with instance annotations. We propose Human-Object Region-based Convolutional Neural Networks (HO-RCNN), a novel DNN-based framework for HOI detection. At the core of our HO-RCNN is the Interaction Pattern, a novel DNN input that characterizes the spatial relations between two bounding boxes. We validate the effectiveness of our HO-RCNN using HICO-DET. Experiments demonstrate that our HO-RCNN, by exploiting human-object spatial relations through Interaction Patterns, significantly improves the performance of HOI detection over baseline approaches.

  1. Learning to Detect Human-Object Interactions

    KAUST Repository

    Chao, Yu-Wei

    2017-02-17

    In this paper we study the problem of detecting human-object interactions (HOI) in static images, defined as predicting a human and an object bounding box with an interaction class label that connects them. HOI detection is a fundamental problem in computer vision as it provides semantic information about the interactions among the detected objects. We introduce HICO-DET, a new large benchmark for HOI detection, by augmenting the current HICO classification benchmark with instance annotations. We propose Human-Object Region-based Convolutional Neural Networks (HO-RCNN), a novel DNN-based framework for HOI detection. At the core of our HO-RCNN is the Interaction Pattern, a novel DNN input that characterizes the spatial relations between two bounding boxes. We validate the effectiveness of our HO-RCNN using HICO-DET. Experiments demonstrate that our HO-RCNN, by exploiting human-object spatial relations through Interaction Patterns, significantly improves the performance of HOI detection over baseline approaches.

  2. Learning Photometric Invariance for Object Detection

    NARCIS (Netherlands)

    Álvarez, J.M.; Gevers, T.; López, A.M.

    2010-01-01

    Color is a powerful visual cue in many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions that negatively affect the performance of the task at hand. Often, a reflection model (e.g., Lambertian

  3. Localization-Aware Active Learning for Object Detection

    OpenAIRE

    Kao, Chieh-Chi; Lee, Teng-Yok; Sen, Pradeep; Liu, Ming-Yu

    2018-01-01

    Active learning - a class of algorithms that iteratively searches for the most informative samples to include in a training dataset - has been shown to be effective at annotating data for image classification. However, the use of active learning for object detection is still largely unexplored as determining informativeness of an object-location hypothesis is more difficult. In this paper, we address this issue and present two metrics for measuring the informativeness of an object hypothesis,...

  4. Introduction

    DEFF Research Database (Denmark)

    Ashbee, Edward; Dumbrell, John

    2017-01-01

    The introduction sets a framework for subsequent chapters by considering theories of change and the extent to which there was consequential change during the Obama years. It draws upon earlier scholarship to suggest that although there certainly was no “transformation” (when new interests secure...... Congress. Nonetheless, although recent literature within historical institutionalism has stressed the importance of incrementalism, it is vulnerable to rollback. Against this background, the introduction sets questions about the character of change that are addressed in the case studies included...

  5. Introduction

    DEFF Research Database (Denmark)

    Gjerdrum Pedersen, Esben Rahbek; Thusgaard Pedersen, Janni

    2013-01-01

    An introduction is presented in which the editors discuss various reports within the issue on topics including the shared value concept in the education and business, the role of corporate foundations in establishing cross-sector partnerships, and the mechanisms of governance in the cross...

  6. Introduction

    DEFF Research Database (Denmark)

    Pop, Paul; Alistar, Mirela; Stuart, Elena

    2015-01-01

    This chapter presents an introduction to the microfluidics field and microfluidic biochips. We discuss the main fluid propulsion principles used by modern microfluidic platforms, with a focus on “digital” microfluidic biochips, which are the topic of this book. Digital microfluidic biochips...

  7. Introduction

    DEFF Research Database (Denmark)

    Barwell, Richard; Clarkson, Philip; Halai, Anjum

    2016-01-01

    This chapter provides the introduction to this ICMI Study 21 volume. It includes: a discussion of the place of this study and its topic within ICME; a discussion of what is meant by the study title; and a brief historical account of research on this topic in mathematics education. The chapter also...

  8. Introduction

    DEFF Research Database (Denmark)

    Schmidt, Johannes Dragsbæk; Berg, Torsten Rødel

    2012-01-01

    The chapter includes a discussion about the play by Henrik Ibsen from 1879, A Doll's House, how it still proves to be relevant today to gender relations not only in Denmark but in Nepal as well. The introduction explains how Ibsen's play inspired two theater directors from Denmark and Nepal...

  9. Introduction

    International Nuclear Information System (INIS)

    Raeder, J.

    1975-01-01

    The introduction to this monography gives a brief survey of the history of the MHD generator, outlines the fundamental questioning of the research concerned and then deals with the combustion gas MHD generator research programme of the working society MPI for plasma physics (IPP)/Maschinenfabrik Augsburg-Nuernberg AG (M.A.N.). (GG/LH) [de

  10. Introduction

    NARCIS (Netherlands)

    Dieci, R.; He, X.-Z.; Hommes, C.; Dieci, R.; He, X.-Z.; Hommes, C.

    2014-01-01

    This introduction summarises the main contributions of 18 chapters in this book, in addition to two articles (Part I) reflecting Carl's view on a broad range of research-related issues originally published in Italian. The contributed chapters cover the latest developments in Nonlinear Economic

  11. Introduction

    NARCIS (Netherlands)

    Doreian, Patrick; Stokman, Frans N.

    2001-01-01

    Introduction to: The proceedings of a conference that was held on the analysis of repeated cross sections at the University of Nijmegen on June 15±16, 2000. This two-days meeting was attended by 75 participants from seven different countries (AUS, B, F, GER, NL, USA, UK) and from a wide array of

  12. Introduction

    NARCIS (Netherlands)

    Salverda, W.; Nolan, B.; Checchi, D.; Marx, I.; McKnight, A.; Tóth, I.G.; van de Werfhorst, H.; Salverda, W.; Nolan, B.; Checchi, D.; Marx, I.; McKnight, A.; Tóth, I.G.; van de Werfhorst, H.

    2014-01-01

    This chapter provides the introduction to a collection of 11 comparative chapters and a concluding chapter which, based on 30 country studies (25 European, USA, Canada, Australia, Japan, Korea; reported in the companion volume Nolan et al. 2013), look at the evolution of inequalities, their social

  13. Introduction

    DEFF Research Database (Denmark)

    Petersen, Nils Holger; Sandbeck, Lars; Solten, Therese Bering

    2013-01-01

    Introduction to the Special Issue of Literature and Theology publishing articles based on selected papers from the international conference of the International Society for Religion, Literature and Culture (ISRLC) conference held at the Theological Faculty of the University of Copenhagen 19...

  14. Introduction

    DEFF Research Database (Denmark)

    Bandak, Andreas; Janeja, Manpreet Kaur

    2018-01-01

    This introduction foregrounds waiting as a central analytical category to make way for ethnographic attention to uncertain interplays between doubting and hoping. Using a range of focused ethnographies which explore the centrality of waiting in social life, it offers a critical lens...

  15. Introduction

    DEFF Research Database (Denmark)

    Schmidt, Johannes Dragsbæk; Rasiah, Rajah

    2010-01-01

    This is a very interesting book. It is topical and is one of the few volumes that attempts to treat Southeast Asia as an integrated whole. The editors are methodologically ambitious, and they skillfully integrate a very large amount of diverse material in their introduction. I imagine that the bo...... working on the economics and development of Southeast Asia....

  16. Introduction

    International Nuclear Information System (INIS)

    Jacquinot, J.

    1997-01-01

    An introduction to the symposium on nuclear fusion and the CEA researches on magnetic confinement, is presented, with a review of the future energy capacities that fusion could deliver, the technological developments on superconductors, robots, etc. that will assist fusion development, and the european and international cooperation programs on the subject

  17. Introduction

    International Nuclear Information System (INIS)

    Van Walle, E.

    2007-01-01

    The introduction to the annual report 2006 of the Belgian Nuclear Research Centre SCK-CEN highlights the reorganisation of SCK-CEN that became effective in 2006. An overview is given of the principal activities of Institute for Nuclear Materials Science, the Institute for Advanced Nuclear Systems, the Institute for Environment, Health and Safety and the Institute for Communication, Services and Administration

  18. Object based implicit contextual learning: a study of eye movements.

    Science.gov (United States)

    van Asselen, Marieke; Sampaio, Joana; Pina, Ana; Castelo-Branco, Miguel

    2011-02-01

    Implicit contextual cueing refers to a top-down mechanism in which visual search is facilitated by learned contextual features. In the current study we aimed to investigate the mechanism underlying implicit contextual learning using object information as a contextual cue. Therefore, we measured eye movements during an object-based contextual cueing task. We demonstrated that visual search is facilitated by repeated object information and that this reduction in response times is associated with shorter fixation durations. This indicates that by memorizing associations between objects in our environment we can recognize objects faster, thereby facilitating visual search.

  19. A Framework for the Flexible Content Packaging of Learning Objects and Learning Designs

    Science.gov (United States)

    Lukasiak, Jason; Agostinho, Shirley; Burnett, Ian; Drury, Gerrard; Goodes, Jason; Bennett, Sue; Lockyer, Lori; Harper, Barry

    2004-01-01

    This paper presents a platform-independent method for packaging learning objects and learning designs. The method, entitled a Smart Learning Design Framework, is based on the MPEG-21 standard, and uses IEEE Learning Object Metadata (LOM) to provide bibliographic, technical, and pedagogical descriptors for the retrieval and description of learning…

  20. Science Integrating Learning Objectives: A Cooperative Learning Group Process

    Science.gov (United States)

    Spindler, Matt

    2015-01-01

    The integration of agricultural and science curricular content that capitalizes on natural and inherent connections represents a challenge for secondary agricultural educators. The purpose of this case study was to create information about the employment of Cooperative Learning Groups (CLG) to enhance the science integrating learning objectives…

  1. Learning Faster by Discovering and Exploiting Object Similarities

    Directory of Open Access Journals (Sweden)

    Tadej Janež

    2013-03-01

    Full Text Available In this paper we explore the question: “Is it possible to speed up the learning process of an autonomous agent by performing experiments in a more complex environment (i.e., an environment with a greater number of different objects?” To this end, we use a simple robotic domain, where the robot has to learn a qualitative model predicting the change in the robot's distance to an object. To quantify the environment's complexity, we defined cardinal complexity as the number of objects in the robot's world, and behavioural complexity as the number of objects' distinct behaviours. We propose Error reduction merging (ERM, a new learning method that automatically discovers similarities in the structure of the agent's environment. ERM identifies different types of objects solely from the data measured and merges the observations of objects that behave in the same or similar way in order to speed up the agent's learning. We performed a series of experiments in worlds of increasing complexity. The results in our simple domain indicate that ERM was capable of discovering structural similarities in the data which indeed made the learning faster, clearly superior to conventional learning. This observed trend occurred with various machine learning algorithms used inside the ERM method.

  2. Introduction

    DEFF Research Database (Denmark)

    Seeberg, Peter

    2015-01-01

    states, the Introduction emphasizes the continued relevance of focusing on a repoliticized MENA reality. The Middle East is still on the move away from the established image of unshakeable authoritarianism attributed to the region, which made the upgrading authoritarianism paradigm seem forever relevant......The Introduction briefly presents the ideas behind this collection of articles, namely to analyze popular mobilization and the role of civil society, political parties, and regional organizations in relation to the developments in the Middle East and North Africa (MENA) over the last years......, and to discuss theoretical approaches and paradigms of relevance for the analysis of these new regional dynamics. The MENA region experienced, in connection with and following the Arab uprisings, a hitherto unseen popular mobilization. Despite the recent highly problematic situation in several Middle Eastern...

  3. Introduction

    DEFF Research Database (Denmark)

    Schubart, Rikke

    2017-01-01

    This special issue of the journal Refractory explores identity in the Penny Dreadful.The introduction introduces the show, themes and the six articles. In Season Two of television horror-drama, Penny Dreadful (Showtime/Sky, 2014-16), Ethan Chandler (Josh Hartnett), American sharpshooter and werew......This special issue of the journal Refractory explores identity in the Penny Dreadful.The introduction introduces the show, themes and the six articles. In Season Two of television horror-drama, Penny Dreadful (Showtime/Sky, 2014-16), Ethan Chandler (Josh Hartnett), American sharpshooter...... and werewolf, asks Vanessa Ives (Eva Green), a British heiress with supernatural powers and a troubled past, what happens when the monsters inside of them are released? She says: “We’re most who we are. Unrestrained. Ourselves.” Summing up a central concern of the series, she confirms the view of its creator...

  4. Introduction

    OpenAIRE

    Brake, Laurel; Mussell, James

    2013-01-01

    When W. T. Stead died on the Titanic he was the most famous Englishman on board. A mass of contradictions and a crucial figure in the history of the British press, Stead was a towering presence in the cultural life of late-Victorian and Edwardian society. In this introduction, we consider Stead as a ‘mass of contradictions’ and offer a few ways in which his prodigious output and activity might be understood.

  5. Hierarchical image segmentation for learning object priors

    Energy Technology Data Exchange (ETDEWEB)

    Prasad, Lakshman [Los Alamos National Laboratory; Yang, Xingwei [TEMPLE UNIV.; Latecki, Longin J [TEMPLE UNIV.; Li, Nan [TEMPLE UNIV.

    2010-11-10

    The proposed segmentation approach naturally combines experience based and image based information. The experience based information is obtained by training a classifier for each object class. For a given test image, the result of each classifier is represented as a probability map. The final segmentation is obtained with a hierarchial image segmentation algorithm that considers both the probability maps and the image features such as color and edge strength. We also utilize image region hierarchy to obtain not only local but also semi-global features as input to the classifiers. Moreover, to get robust probability maps, we take into account the region context information by averaging the probability maps over different levels of the hierarchical segmentation algorithm. The obtained segmentation results are superior to the state-of-the-art supervised image segmentation algorithms.

  6. ICT Competence-Based Learning Object Recommendations for Teachers

    Science.gov (United States)

    Sergis, Stylianos; Zervas, Panagiotis; Sampson, Demetrios G.

    2014-01-01

    Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus…

  7. Methodology for Evaluating Quality and Reusability of Learning Objects

    Science.gov (United States)

    Kurilovas, Eugenijus; Bireniene, Virginija; Serikoviene, Silvija

    2011-01-01

    The aim of the paper is to present the scientific model and several methods for the expert evaluation of quality of learning objects (LOs) paying especial attention to LOs reusability level. The activities of eQNet Quality Network for a European Learning Resource Exchange (LRE) aimed to improve reusability of LOs of European Schoolnet's LRE…

  8. An OWL Ontology for Metadata of Interactive Learning Objects

    Science.gov (United States)

    Luz, Bruno N.; Santos, Rafael; Alves, Bruno; Areão, Andreza S.; Yokoyama, Marcos H.; Guimarães, Marcelo P.

    2015-01-01

    The main purpose of this paper is to present the importance of Interactive Learning Objects (ILO) to improve the teaching-learning process by assuring a constant interaction among teachers and students, which in turn, allows students to be constantly supported by the teacher. The paper describes the ontology that defines the ILO available on the…

  9. Technology and human issues in reusing learning objects

    NARCIS (Netherlands)

    Collis, Betty; Strijker, A.

    2004-01-01

    Reusing learning objects is as old as retelling a story or making use of libraries and textbooks, and in electronic form has received an enormous new impetus because of the World Wide Web and Web technologies. Are we at the brink of changing the "shape and form of learning, ... of being able to

  10. Speckle-learning-based object recognition through scattering media.

    Science.gov (United States)

    Ando, Takamasa; Horisaki, Ryoichi; Tanida, Jun

    2015-12-28

    We experimentally demonstrated object recognition through scattering media based on direct machine learning of a number of speckle intensity images. In the experiments, speckle intensity images of amplitude or phase objects on a spatial light modulator between scattering plates were captured by a camera. We used the support vector machine for binary classification of the captured speckle intensity images of face and non-face data. The experimental results showed that speckles are sufficient for machine learning.

  11. How learning might strengthen existing visual object representations in human object-selective cortex.

    Science.gov (United States)

    Brants, Marijke; Bulthé, Jessica; Daniels, Nicky; Wagemans, Johan; Op de Beeck, Hans P

    2016-02-15

    Visual object perception is an important function in primates which can be fine-tuned by experience, even in adults. Which factors determine the regions and the neurons that are modified by learning is still unclear. Recently, it was proposed that the exact cortical focus and distribution of learning effects might depend upon the pre-learning mapping of relevant functional properties and how this mapping determines the informativeness of neural units for the stimuli and the task to be learned. From this hypothesis we would expect that visual experience would strengthen the pre-learning distributed functional map of the relevant distinctive object properties. Here we present a first test of this prediction in twelve human subjects who were trained in object categorization and differentiation, preceded and followed by a functional magnetic resonance imaging session. Specifically, training increased the distributed multi-voxel pattern information for trained object distinctions in object-selective cortex, resulting in a generalization from pre-training multi-voxel activity patterns to after-training activity patterns. Simulations show that the increased selectivity combined with the inter-session generalization is consistent with a training-induced strengthening of a pre-existing selectivity map. No training-related neural changes were detected in other regions. In sum, training to categorize or individuate objects strengthened pre-existing representations in human object-selective cortex, providing a first indication that the neuroanatomical distribution of learning effects depends upon the pre-learning mapping of visual object properties. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Introduction

    Directory of Open Access Journals (Sweden)

    Laurel Brake

    2013-04-01

    mso-fareast-language:JA;} When W. T. Stead died on the 'Titanic' he was the most famous Englishman on board. A mass of contradictions and a crucial figure in the history of the British press, Stead was a towering presence in the cultural life of late-Victorian and Edwardian society. In this introduction, we consider Stead as a ‘mass of contradictions’ and offer a few ways in which his prodigious output and activity might be understood.

  13. Introduction

    DEFF Research Database (Denmark)

    Høst, Jeppe Engset

    2015-01-01

    This chapter introduces the notion and theme of market-based fisheries management. The introduction of market mechanisms to distribute and manage fishing quota has internationally occurred since the 1980s but is increasingly on the political agenda. As privatization and transferability are promoted...... internationally, and by big players, it becomes even more crucial to understand its social and environmental implications. This chapter looks at the broader lines in the fisheries research and discusses the diverging views on market-based fisheries management. On one side market mechanisms are promoted...... for efficiency and fleet adaptation, and on the other, quota markets are accused of causing concentration and disturbing social relations....

  14. Introduction

    International Nuclear Information System (INIS)

    Davies, L.M.; Ianko, L.

    1998-01-01

    As a result of the popularity of the Agencies report 'Neutron Irradiation Embrittlement of Reactor Pressure Vessel Steels' of 1975, it was decided that another report on this broad subject would be of use. In the introduction the historic context is established, spanning a bow from the first sustained fission reactor in 1942 to contemporary developments. The subjects 'Irradiation Effects on Mechanical Properties', 'Neutron Fluence', 'Irradiation Effect Trends', 'Empirical Modelling of Irradiation Effects' and 'Mechanical Modelling' are addressed. There are also some remarks about the current state of the art, the migration of irradiation effects and about international programmes

  15. Introduction

    DEFF Research Database (Denmark)

    Peder Pedersen, Claus; Dehs, Jørgen

    2013-01-01

    Introduction to When Architects and Designers Write / Draw / Build / ? This anthology highlights the potentials and challenges for research in architecture and design. The included essays are based on papers given at a symposium held at the Aarhus School of Architecture in 2011 and contain a number...... of topical positions ranging from the activist and academic to practice-based and artistically-based research by international and Danish researchers. The anthology is aimed at architects and designers, as well as others with an interest in the discussion of the concept of research in the fields...

  16. Introduction

    DEFF Research Database (Denmark)

    de Goede, Marieke; Leander, Anna; Sullivan, Gavin

    2016-01-01

    This articles introduces the special issue on ‘The Politics of the List.’ We observe that lists proliferate as a technique of governance across multiple domains, including health, security, and commerce. We argue that it is important to take seriously the form and technique of the list itself...... and engage the knowledge practices, governance effects and ways of ordering the world that the list format enables. In other words, the special issue seeks to ‘remain in the register of the list,’ to unpack its technological arrangements and juridical power. This introduction sets out the key themes...

  17. Introduction

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms; Bohlinger, Sandra; Haake, Ulrika

    2015-01-01

    Research on adult, professional and vocational education in a global world is timely (Farrell & Fenwick, 2007). Globalisation and economic crises are the trends that most dramatically transform the social, political, economic and ecological spheres of our time and directly affect the everyday life......-based and ethical underpinnings. Work-related learning and the workplace as an arena of learning and education is, in Fenwick’s (2001) terms, a highly political space, in which the requirements of flexibility, specialisation, privatisation, and globalisation “change the nature and environment of work...

  18. Learning of perceptual grouping for object segmentation on RGB-D data.

    Science.gov (United States)

    Richtsfeld, Andreas; Mörwald, Thomas; Prankl, Johann; Zillich, Michael; Vincze, Markus

    2014-01-01

    Object segmentation of unknown objects with arbitrary shape in cluttered scenes is an ambitious goal in computer vision and became a great impulse with the introduction of cheap and powerful RGB-D sensors. We introduce a framework for segmenting RGB-D images where data is processed in a hierarchical fashion. After pre-clustering on pixel level parametric surface patches are estimated. Different relations between patch-pairs are calculated, which we derive from perceptual grouping principles, and support vector machine classification is employed to learn Perceptual Grouping. Finally, we show that object hypotheses generation with Graph-Cut finds a globally optimal solution and prevents wrong grouping. Our framework is able to segment objects, even if they are stacked or jumbled in cluttered scenes. We also tackle the problem of segmenting objects when they are partially occluded. The work is evaluated on publicly available object segmentation databases and also compared with state-of-the-art work of object segmentation.

  19. Introduction

    DEFF Research Database (Denmark)

    Goodsite, Michael Evan; Møldrup, Mathilde; Hubbard, Emil Egerod

    2017-01-01

    The challenges of sustainability are becoming more apparent and changes need to take place in how we organise collectively. This book stems from and builds on a collaboration and collective learning between the military and the civilian world in order to facilitate discussion of the current state...

  20. Learning object for teacher training aimed to develop communication skills

    Directory of Open Access Journals (Sweden)

    Norma Esmeralda RODRÍGUEZ RAMÍREZ

    2014-06-01

    Full Text Available This article presents the results and reflections obtained across a research aimed to analyze the quality criteria of an opened learning object oriented to develop communication skills in order to be able to report and validate it according to its content, pedagogic structure, technological structure, graphical and textual language and usability to teacher training, in order to base it theoretically, pedagogically and technologically. The research question was: Which are the quality criteria that a learning object aimed to develop communication skills must cover? Under a quantitative approach, there were electronic questionnaires applied to: 34 Technological University teachers, eight experts about of communicative competence, teaching, technology and graphic design. The results indicated that some of the quality criteria of learning object are: the effective managing of the learning content, the balanced composition of his pedagogic structure, the technological structure efficiency and the proper managing of graphical and textual language.

  1. Introduction

    International Nuclear Information System (INIS)

    2000-01-01

    In the Introduction a brief review on application of high-current electron beams (HEB) and powerful pulse ion beams (PPB) is given. It is noted that at present the following principal trends on HEB and PPB application in technologies are formed: production of super-dense plasma for controlled thermonuclear synthesis; implantation and annealing of semiconductors; modification of metals and alloys properties: strength, tribo-technical and anticorrosion ones; synthesis of new composite materials, including metastable phases and compounds; manufacture of thin films and coverings with preset structure and properties by means of ablation plasma deposition; cleaning, polishing and glancing of surfaces; synthesis of ultra-disperse and nano-sized powders; destruction and cutting of solid materials

  2. Introduction

    International Nuclear Information System (INIS)

    2002-01-01

    In the Introduction a common data about the monograph are presented. It is noted that results of α-particles elastic and inelastic scattering angular distribution with energies 40.0 and 50.1 MeV on 90,94 Zr carried out on the Kazakhstan isochronous cyclotron U-150M. A new data on total reaction cross sections at α-particles energies 96(1) MeV and 3 He ions 95(1) MeV on 90 Zr isotope, obtained on the Kiev isochronous cyclotron U-240 are given. Within framework of unified approach the experimental data analysis for α-particles quasi-elastic scattering with energies 35.4, 40.0 and 50.1, 65.0 MeV on odd zirconium isotopes as well as their reaction total cross sections is carried out. With use of α-particles scattering at low and middle energies the excited states transitions isospin character for odd tin isotopes is studied in detail with application of up-to date analysis methods. The monograph consists of introduction, four chapters and Conclussion. The chapters are as follows: (1) Experimental measurement methods of differential and total reaction cross sections with complicated particles at low and middle energies; (2) Macroscopic and semi-microscopic optical-potential approaches; (3) Peculiarities of experimental angular distribution of alpha particles at energies up to 12.5 MeV/nucleon, total reaction cross sections and results their optical potential analysis; (4) Structure characteristics of odd-odd nuclei and their comparative analysis

  3. Individualized Learning Through Non-Linear use of Learning Objects: With Examples From Math and Stat

    DEFF Research Database (Denmark)

    Rootzén, Helle

    2015-01-01

    Our aim is to ensure individualized learning that is fun, inspiring and innovative. We believe that when you enjoy, your brain will open up and learning will be easier and more effective. The methods use a non-linear learning environment based on self-contained learning objects which are pieced t...

  4. Active Learning in Engineering Education: A (Re)Introduction

    Science.gov (United States)

    Lima, Rui M.; Andersson, Pernille Hammar; Saalman, Elisabeth

    2017-01-01

    The informal network "Active Learning in Engineering Education" (ALE) has been promoting Active Learning since 2001. ALE creates opportunity for practitioners and researchers of engineering education to collaboratively learn how to foster learning of engineering students. The activities in ALE are centred on the vision that learners…

  5. Reinforcement active learning in the vibrissae system: optimal object localization.

    Science.gov (United States)

    Gordon, Goren; Dorfman, Nimrod; Ahissar, Ehud

    2013-01-01

    Rats move their whiskers to acquire information about their environment. It has been observed that they palpate novel objects and objects they are required to localize in space. We analyze whisker-based object localization using two complementary paradigms, namely, active learning and intrinsic-reward reinforcement learning. Active learning algorithms select the next training samples according to the hypothesized solution in order to better discriminate between correct and incorrect labels. Intrinsic-reward reinforcement learning uses prediction errors as the reward to an actor-critic design, such that behavior converges to the one that optimizes the learning process. We show that in the context of object localization, the two paradigms result in palpation whisking as their respective optimal solution. These results suggest that rats may employ principles of active learning and/or intrinsic reward in tactile exploration and can guide future research to seek the underlying neuronal mechanisms that implement them. Furthermore, these paradigms are easily transferable to biomimetic whisker-based artificial sensors and can improve the active exploration of their environment. Copyright © 2012 Elsevier Ltd. All rights reserved.

  6. Introduction

    DEFF Research Database (Denmark)

    Bregnbæk, Susanne; Bunkenborg, Mikkel

    2017-01-01

    Uncertainty often seems to be articulated as doubts about the interior make-up of things. Suspecting that persons, objects, institutions and ideologies are not what they seem, critical voices accuse them of emptiness and they are thus laid open to new investments of meaning and value. Ethnographi...

  7. Introduction

    DEFF Research Database (Denmark)

    Kornberger, Martin; Justesen, Lise; Mouritsen, Jan

    2015-01-01

    What if value is neither an intrinsic quality of an object, nor a reflection of a subjects preferencesbut rather something that is organized and brought into existence through mechanisms, technologies and practices of valuation? This edited book addresses the question of valuation theoretically a...

  8. Introduction

    Indian Academy of Sciences (India)

    This type of study was initiated around 1834, with the discovery of decorated objects in the limestone caves and rock shelter deposits of the region when bones of mammoths, reindeer and horses were excavated. However, there was an uncertainty in dating these finds. Subsequently, in 1879, Altamira also provided ...

  9. Introduction

    DEFF Research Database (Denmark)

    Mintz, Joseph; Aagaard, Morten

    2012-01-01

    We map out the objectives of the HANDS project, with its key focus on developing a suite of mobile apps (the HANDS toolkit) that could help young people with autism spectrum disorders to develop social and daily life skills. They outline the design of the HANDS system, including its innovative us...

  10. Introduction

    KAUST Repository

    Chikalov, Igor

    2011-01-01

    Decision trees appeared in 50-60s of the last century in theoretical computer science [14, 64, 80] and applications [24, 37]. Similar objects are also considered by natural and social sciences, for example, taxonomy keys [30] or questionnaires [63]. Decision trees naturally represent identification and testing algorithms that specify the next test to perform based on the results of the previous tests. A number of particular formulations were generalized by Garey [27] as identification problem that is a problem of distinguishing objects described by a common set of attributes. More general formulation is provided by decision table framework [34, 65] where objects can have incomplete set of attributes and non-unique class labels. In that case, acquiring class label is enough to solve the problem: identifying a particular object is not required. In this context, decision trees found many applications in test theory [39, 45, 46, 81], fault diagnosis [14, 60, 72], rough set theory [61, 62], discrete optimization, non-procedural programming languages [34], analysis of algorithm complexity [38], computer vision [74], computational geometry [69]. © Springer-Verlag Berlin Heidelberg 2011.

  11. Introduction

    KAUST Repository

    Chikalov, Igor

    2011-01-01

    Decision trees appeared in 50-60s of the last century in theoretical computer science [14, 64, 80] and applications [24, 37]. Similar objects are also considered by natural and social sciences, for example, taxonomy keys [30] or questionnaires [63

  12. Introduction

    International Nuclear Information System (INIS)

    Toropila, M.

    2006-01-01

    In this introduction to The Third Radiobiological Conference author give a short retrospective review of reactor accidents (26 th April 1986, Chernobyl NPP, 1979 in Three Mile Island). In former Czechoslovakia an attention has been paid to the questions of the effects of radiation on organism from the 1950's. After discharge of Commonwealth the Radiobiological Association. that facilitated interchange of the results of research work among various national and foreign institutions. was also abolished. After establishment of the autonomous Slovak Republic the University of Veterinary Medicine (UVM) in Kosice in collaboration with Pavol Jozef Safarik University in Kosice linked to tradition of radiobiology and organized the the First Radiobiological Conference in Slovakia. At this conference 37 lectures of home and 9 of Czech authors were presented. At the end of conference the agreement was made to held this conference every second year. The 2 nd Radiobiological Conference was held in 2004 at the occasion of the 55 st anniversary of the UVM establishment in Kosice. The 3 rd Conference held on 25 tb May 2006 in UVM in Kosice was inscribed to the 20 th anniversary of Chernobyl disaster. Selected articles dealing with this problem create contents of Supplement inscribed to the 50 th anniversary of the scientific journal Folia Veterinaria

  13. Learning while Babbling: Prelinguistic Object-Directed Vocalizations Indicate a Readiness to Learn

    Science.gov (United States)

    Goldstein, Michael H.; Schwade, Jennifer; Briesch, Jacquelyn; Syal, Supriya

    2010-01-01

    Two studies illustrate the functional significance of a new category of prelinguistic vocalizing--object-directed vocalizations (ODVs)--and show that these sounds are connected to learning about words and objects. Experiment 1 tested 12-month-old infants' perceptual learning of objects that elicited ODVs. Fourteen infants' vocalizations were…

  14. Introduction

    Directory of Open Access Journals (Sweden)

    Helge Hvid

    2013-01-01

    This issue includes six articles where we start off by Abrahamsson and Johansson, who give us a short but comprehensive presentation of how psychosocial work environment has been understood in research and policy over 100 years, with Sweden as the focal point. Short, because they write in the format of an article. Comprehensive, because the authors take a broad understanding of the psychosocial work environment comprising “health/illness,” where factors such as stress and burnout are central, “management and development,” where employee involvement, learning, and innovation are central, and “problematization,” which includes critically oriented research on the nature of work. The article not only provides an overview of the research that has been done in this area in the last 100 years but also relates research to policy and practice. The article thus provides a valuable perspective on today’s research and public debate on the works, with a Nordic perspective (...

  15. Introduction

    International Nuclear Information System (INIS)

    Zapata, F.; Garcia-Agudo, E.; Ritchie, J.C.; Appleby, P.G.

    2002-01-01

    Soil erosion and associated sedimentation are natural processes caused by water, wind and ice. Several of man's activities such as deforestation, overgrazing, changes in land use, and non-sustainable farming practices tend to accelerate soil erosion. Soil erosion and sedimentation cause not only on-site degradation of a non-renewable natural resource, but also off-site problems such as downstream sediment deposition in fields, floodplains and water streams. These problems and concern over the degradation of the landscape by erosion, and their impacts on soil fertility and crop productivity in agricultural land, water pollution, and sedimentation in lakes, reservoirs, and floodplains are well documented. Global estimates of economic damage from soil erosion and sedimentation have also been made. Recent focus on sustainability issues has resulted in increased attention on soil-degradation problems, in particular soil erosion and sedimentation. In view of increasing water scarcity and limited land resources to feed an ever-growing world population, there is an urgent need to obtain reliable quantitative data on the extent and rates of soil erosion worldwide to provide a more comprehensive assessment of the problem and to underpin the selection of effective soil-conservation technologies and sedimentation remediation strategies, including assessment of their economic and environmental impacts. This chapter describes the use of fallout 137 Cs as a tracer for measuring soil erosion and sedimentation, and the potential use of other radionuclides such as 210 Pb, and 7 Be for these studies. It provides an overview of the 137 Cs technique describing key assumptions and requirements, and advantages and limitations of the technique. Also, applications, recent developments, and future trends of the technique are covered. The chapter is completed with an introduction to the handbook and a list of selected references

  16. Introduction

    Directory of Open Access Journals (Sweden)

    Anuparna Mukherjee

    2017-04-01

    Full Text Available The city as a mosaic of anarchic diversity and messy contradictions has always been a rich source of inspiration for practitioners of creative arts. Writers, painters, planners, photographers, performers have deemed the city as the loci of their desire, conflict, passion and memory to chart the minutes of quotidian life in various intricate forms and configurations. “The city came into being when a surplus of food allowed a diversity of tasks”, Lehan asserts in his introduction to The City in Literature. “Diversity is a key to urban beginnings and continuities, and diversity is also the snake in the urban garden, challenging systems of order and encouraging disorder and chaos” (8. As an eclectic site of cultural friction and contamination that simultaneously oscillates between polarities of belonging and non-belonging, order and chaos, the city unlocks myriad windows to the chroniclers of urban realities. The cities in their perpetual making and dismantling, bear an impression of what Amit Chaudhuri terms in a recent talk as the “unfinished-ness” in the context of modern cities[1]. The “unfinished” is a slippery term as Chaudhuri explains, while it may suggest the Modernist artists’ proclivity towards dereliction, ruin or fragmentation in metropolitan landscape, it also speaks of the “half-made”[2], the backward, or the liminal spaces within an urban conurbation. However, this “unfinished-ness” or the fact that “cities are not finished products” as Chaudhuri posits, is also indicative of their “radical openness” and their inexhaustible potentials for reinventing themselves.

  17. Introduction

    Directory of Open Access Journals (Sweden)

    Donatella Abbate Badin

    2011-08-01

    Full Text Available The introduction to the monographic section Italy-Ireland: Cultural Inter-Relations, gives a brief account of how this part of the journal tries to fill a gap in transcultural studies by investigating the hitherto relatively underexplored relationship of Ireland with Italy. The editors argue that the topic deserves special attention because throughout the centuries, owing to a shared religion and Ireland’s colonial and postcolonial status, a special relationship was established. Without neglecting the many contributions published on this topic over the past thirty years, the papers collected in this first issue of SIJIS offer an overall view of the relations between Italy and Ireland from the Middle Ages to the present day demonstrating this special relationship. The opening essay, drawing an ample and interdisciplinary panorama of the representations of Ireland in Italy over the centuries, and  the concluding one, introducing new issues and suggestions for further investigations, frame seven papers organized thematically in subsections.  The translation studies section highlights some specific problems presented to the translator because of the Irish nature of the translated texts. Exploration of the links between some major figures and Italy opens up new perspectives even regarding much studied figures such as Joyce while  the time-honoured comparative method of studying influences yields ground-breaking insights as in the study of links between Commedia dell’Arte and Clarke or Mahon and Pasolini. Representations of Italy and  the presence of Italian settings and characters acquire  a specific Irish edge in the writings of Synge, Lady Morgan and Edward Maturin especially when both countries were still in search  of their identities.

  18. Active Learning in Engineering Education: a (re)introduction

    DEFF Research Database (Denmark)

    Lima, Rui M.; Andersson, Pernille Hammar; Saalman, Elisabeth

    2017-01-01

    The informal network ‘Active Learning in Engineering Education’ (ALE) has been promoting Active Learning since 2001. ALE creates opportunity for practitioners and researchers of engineering education to collaboratively learn how to foster learning of engineering students. The activities in ALE...... were reviewed by the European Journal of Engineering Education community and this theme issue ended up with eight contributions, which are different both in their research and Active Learning approaches. These different Active Learning approaches are aligned with the different approaches that can...

  19. Learning Spatial Object Localization from Vision on a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Jürgen Leitner

    2012-12-01

    Full Text Available We present a combined machine learning and computer vision approach for robots to localize objects. It allows our iCub humanoid to quickly learn to provide accurate 3D position estimates (in the centimetre range of objects seen. Biologically inspired approaches, such as Artificial Neural Networks (ANN and Genetic Programming (GP, are trained to provide these position estimates using the two cameras and the joint encoder readings. No camera calibration or explicit knowledge of the robot's kinematic model is needed. We find that ANN and GP are not just faster and have lower complexity than traditional techniques, but also learn without the need for extensive calibration procedures. In addition, the approach is localizing objects robustly, when placed in the robot's workspace at arbitrary positions, even while the robot is moving its torso, head and eyes.

  20. Introduction

    Science.gov (United States)

    Taussig, Karen-Sue; Gibbon, Sahra Elizabeth

    2013-01-01

    We introduce this special issue of Medial Anthropology Quarterly on public health genomics by exploring both the unique contribution of ethnographic sensibility that medical anthropologists bring to the study of genomics and some of the key insights offered by the essays in this collection. As anthropologists, we are concerned with the power dynamics and larger cultural commitments embedded in practices associated with public health. We seek to understand, first, the broad significance of genomics as a cultural object and, second, the social action set into motion as researchers seek to translate genomic knowledge and technology into public health benefits. PMID:24214906

  1. Introduction of a learning management system at the Kilimanjaro ...

    African Journals Online (AJOL)

    Background. Medical schools in Africa face daunting challenges including faculty shortages, growing class sizes, and inadequate resources. Learning management systems (LMS) may be powerful tools for organising and presenting curricular learning materials, with the potential for monitoring and evaluation functions.

  2. Introduction

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1993-01-01

    This section of the report describes the history of the tribology program of the Office of Transportation Materials (OTM) in the Office of Transportation Technologies (OTT). The mission of the Office of Transportation Technology is discussed. OTT`s research objectives focus on (1) automobiles and light-duty trucks and vans and (2) heavy duty trucks and buses. Even small gains in efficiency can produce large paybacks for the tax dollar. The mission of the Office of Transportation Materials is also described. Its research objective is to enable the development and engineering of energy-efficient transportation systems that will make possible the transition of the U.S. transportation sector from dependence on petroleum to alternative fuels and electricity. The mission of the Tibology Program is to provide the base technology to enable savings in annual U.S. energy consumption through tribological advances in the transportation sector. Current task areas are in the fields of advanced lubrication, engineered tribological interfaces, advanced tribomaterials and components, and project management.

  3. Introduction

    Science.gov (United States)

    Cheng, K. S.; Romero, Gustavo E.

    In the last 15 years, gamma-ray astronomy has evolved from a promis-ing but rather exotic branch of astronomical science to become a mature field of research with its own well-defined referents: cosmic gamma-ray sources. These sources include some of the most extraordinary objects known to human beings: pulsars, active galactic nuclei, accreting black holes, supernova remnants, and gamma-ray bursts. A significant com-ponent of our current knowledge of such objects is the direct result of astronomical measurements of the high-energy photons they produce. Satellite-borne instruments that can detect gamma-rays in the Earth's orbit or in deep space and atmospheric air shower detectors that re-construct the energy and direction of high-energy photons through the Cherenkov light generated in particle showers produced in the Earth's atmosphere have been the basic exploratory tools of gamma-ray astron-omy. For many years, however, cosmic gamma-ray sources defied all attempts at their detection.

  4. Introduction

    Science.gov (United States)

    Starosvetsky, Yuli; Jayaprakash, K. R.; Hasan, Md. Arif; Vakakis, Alexander F.

    The study of mechanics of granular media dates back to the era of Coulomb. He was the first to postulate the yield condition for homogeneous solids and also conditions for failure in granular media [1-4]. In fact the ideal Coulomb material is the simplest granular material model wherein the shear stress along a plane is linearly proportional to the normal stress on that plane. This can be considered analogous to the Coulomb friction model in cohesion-free interfaces between solids. Initial research in this domain focused mainly on the statics of granular materials from a soil mechanics perspective. However, as the applications of granular materials broadened, the objectives of different research communities contradicted. For example, in geophysics or soil mechanics the objective is to regard granular media with properties of a solid in order to take considerable loads without yielding; on the other hand, in food grain or pharmaceutical industries the granular media is considered as fluids and their rheological properties are of interest. In fact granular media can exhibit both of these behaviors (and also the properties of a gas), and such unique features pave the way for their broad range applications...

  5. Learning Objects and Grasp Affordances through Autonomous Exploration

    DEFF Research Database (Denmark)

    Kraft, Dirk; Detry, Renaud; Pugeault, Nicolas

    2009-01-01

    We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and moving 3D scene features, and creates probabilistic visual representations for object detection, recognition and pose estimation...... image sequences as well as (3) a number of built-in behavioral modules on the one hand, and autonomous exploration on the other hand, the system is able to generate object and grasping knowledge through interaction with its environment....

  6. The Effects of Discipline on the Application of Learning Object Metadata in UK Higher Education: The Case of the Jorum Repository

    Science.gov (United States)

    Balatsoukas, Panos; O'Brien, Ann; Morris, Anne

    2011-01-01

    Introduction: This paper reports on the findings of a study investigating the potential effects of discipline (sciences and engineering versus humanities and social sciences) on the application of the Institute of Electrical and Electronic Engineers learning object metadata elements for the description of learning objects in the Jorum learning…

  7. Introduction

    Science.gov (United States)

    Koper, Rob

    In 2003 we started a new research programme at the Centre for Learning Sciences and Technologies (CELSTEC) that was aiming to help people to further develop their professional competences by using the innovative powers of new media, mobile devices, and modern Internet services. The idea behind the programme was to contribute to one of the bigger challenges in our society: how to deal with the growing complexity, the growing quantity and the permanent changes in knowledge and technologies. For companies this question relates to the core of their business: how to become innovative and stay competitive. For the employees, the ‘professionals’, this question relates directly to their jobs: how to become and stay employable. In this book we will concentrate on the last group, the professionals and their question how to stay employable, how to keep up-to-date and how to develop professional competence during their careers. The professionals represent the human capital, the knowledge, the innovative power in our economy.

  8. Let's Burn Them All: Reflections on the Learning-Inhibitory Nature of Introduction to Management and Introduction to Organizational Behavior Textbooks

    Science.gov (United States)

    Snyder, Robert A.

    2014-01-01

    This essay provides evidence from the neurosciences that standard Introduction to Management and "Introduction to Organizational Behavior" textbooks may inhibit, rather than facilitate, learning of the basic concepts and the rudimentary knowledge-basis that underlie the complex skills business students should learn in subsequent…

  9. Introduction

    DEFF Research Database (Denmark)

    Lupton, Tina Jane; Silver, Sean; Sneed, Adam

    2016-01-01

    that characterize the modern laboratory, the social formations that are the objects of Actor-Network Theory generally, and the kinds of false conceptual breaks that obscure the nature of these very formations and practices. Scholars studying the literature ...Bruno Latour's formulation of modernity as a particular...... intertwining of persons and things has shaped recent efforts to rethink the legacy of the Enlightenment. What is more, Latour has often reverted to the eighteenth century as a site of origins—whether it is for the sort of practices that characterize the modern laboratory, the social formations......Bruno Latour's formulation of modernity as a particular intertwining of persons and things has shaped recent efforts to rethink the legacy of the Enlightenment. What is more, Latour has often reverted to the eighteenth century as a site of origins—whether it is for the sort of practices...

  10. Introduction

    Science.gov (United States)

    Luhmann, J. G.; Tatrallyay, M.

    Venus and Mars, our neighboring planets, have a long history in the human consciousness. Venus, in particular, was notable because of its brightness compared to other star-like objects in the sky. The first observations of Venus on record may be those enscribed by Babylonians on the famous "Venus tablet" in the British museum, which has been dated to ˜1700 BC. Venus has generally been associated with the female gender, except in ancient India. The name comes from the Roman goddess of love and beauty (analogous to the Babylonian Ishtar and the Greek Aphrodite). Venus was first thought by the Greeks to be two objects—a morning star "Phosphorus" and an evening star "Hesperus". Phythagoras, in 6 BC, is credited with being first to recognize they were the same object. Venus has since figured prominently in the history of physics and astronomy. The Greek Aristarchus first suggested (in ˜310-250 BC) that the planets move around the sun, but the idea lost favor to a theory of Ptolemy, which placed Earth at the center of the solar system. In the 9th-15th centuries, Arab astronomers studied Venus, and in the "new world," the Mayas used it in the organization of their calendar. In 1543, Copernicus finally published his own version of Aristarchus' vision of a heliocentric solar system, but it was probably not until Galileo, in ˜1610, telescopically observed that Venus had phases like the moon, that heliocentric theory was widely accepted (despite delays associated with the prevailing religious dogma). He announced that momentous discovery in a coded message to his contemporary Kepler (a usual practice of the time), which translated to "the mother of the loves imitates the phases of Cynthia".

  11. Introduction of active learning method in learning physiology by MBBS students.

    Science.gov (United States)

    Gilkar, Suhail Ahmad; Lone, Shabiruddin; Lone, Riyaz Ahmad

    2016-01-01

    Active learning has received considerable attention over the past several years, often presented or perceived as a radical change from traditional instruction methods. Current research on learning indicates that using a variety of teaching strategies in the classroom increases student participation and learning. To introduce active learning methodology, i.e., "jigsaw technique" in undergraduate medical education and assess the student and faculty response to it. This study was carried out in the Department of Physiology in a Medical College of North India. A topic was chosen and taught using one of the active learning methods (ALMs), i.e., jigsaw technique. An instrument (questionnaire) was developed in English through an extensive review of literature and was properly validated. The students were asked to give their response on a five-point Likert scale. The feedback was kept anonymous. Faculty also provided their feedback in a separately provided feedback proforma. The data were collected, compiled, and analyzed. Of 150 students of MBBS-first year batch 2014, 142 participated in this study along with 14 faculty members of the Physiology Department. The majority of the students (>90%) did welcome the introduction of ALM and strongly recommended the use of such methods in teaching many more topics in future. 100% faculty members were of the opinion that many more topics shall be taken up using ALMs. This study establishes the fact that both the medical students and faculty want a change from the traditional way of passive, teacher-centric learning, to the more active teaching-learning techniques.

  12. 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.

  13. An Initial Approach for Learning Objects from Experience

    Science.gov (United States)

    2018-05-02

    algorithm to delineate objects which are then fed to a simple feed-forward neural network without any other processes in the pipeline. Our neural network...These are the basic requirements for the pipeline and are discussed in more detail below. Additionally, we are interested in testing various parts...that continuously learning objects from experience requires mechanisms to do the following: 1) Focus attention on things and stuff of interest . 2

  14. Introduction

    Science.gov (United States)

    de Graauw, T.

    2010-09-01

    dealing with ALMA, reflecting the interest of the astronomical community in our project. I invite everybody to join these events in order to discuss the exciting science made possible with ALMA, and to learn how to use this instrument in an efficient way. After all, the first call for ALMA observing proposals will be released very soon. After having served as ALMA Project Engineer since 2004, Rick Murowinski has decided to go back to Canada. We thank him for his important contributions to our project during very crucial years and wish him all the best for his future career.

  15. Introduction

    Science.gov (United States)

    Wotring, Virginia E.; Southern, Sarka O.; Mentzer, Mark A.; Rodriquez-Chavez, Isaac

    2014-01-01

    The 2014 SPIE Sensing Technologies for Global Health, Military Medicine and Environmental Monitoring conference embraced a wealth of state-of-the-art information in basic and applied science. This event covered the latest developments in the following areas: Non-invasive Disease Diagnostics for Global Health- This opening series of two consecutive sessions focused on oral biospecimen based rapid assays and point-of-care devices for the detection of pathogens causing infectious diseases, biomarkers for cancer, and analytes for noncommunicable diseases such as diabetes. They also covered presentations on the human proteasome and microbiome with linkage to human diseases and diagnostic approaches. The sessions were built on the past experience and expertise of the National Institutes of Health, National Institutes of Dental and Craniofacial Research. Military Medicine I: Traumatic Brain Injury and PTSD-This assembly covered oral-biomarker based diagnostics for brain damage and TBI as well as prevention and rehabilitation technologies. Neurorehabilitation and noninvasive neuromodulation were also discussed as critical approaches for effective functioning. Military Medicine II: Physiology and Medicine of Extreme Environments and Spaceflight-This scientific segment showcased physiological, pharmacological and diagnostic sensing methodologies during spaceflight per the National Aeronautics and Space Administration as well as military-relevant toxicans and future sensing trends per the Department of Defense. It also included latest technologies to determine hydration status in warfighters, eye surgery using the latest laser technologies, and sensing tools for blood analysis. ? Sensing Technologies for Disease Diagnostics and Environmental Monitoring-This closing series of two consecutive sessions provided the venues to learn and discuss more results on the next generation of diagnostic tools and field technologies for diseases, including biomarker detection by digital

  16. Introduction

    Directory of Open Access Journals (Sweden)

    Keagan LeJeune

    2007-12-01

    Full Text Available I heard many stories growing up, ghost stories, buried treasure stories, and stories about family members. I have even heard my share of outlaw legends. Most wouldn’t figure that a young boy in Louisiana would hear many stories of outlaw robbers or gun fights, but throughout America outlaw legends abound, especially the “good outlaw” or heroic criminal. Most, though, do not exactly fit the pattern people are used to seeing in old western movies, but if people learn how to look, the legends are here. In Louisiana, the outlaw might not be a cowboy but a boat captain, and the loot might not be a stagecoach box but bootlegged alcohol. The outlaw may be an oilfield or sawmill worker, an old trapper, or even a computer hacker, but the core story is the same. An underdog fights some oppressive force for the benefit of the common people. That doesn’t mean people are still afraid of these people or that they embrace the life of an outlaw, but they are still fascinated by them and tell their stories. One of my students once wrote an essay about heroes, and his hero was the group of people he grew up with, “river rats,” for him people who live on Louisiana’s rivers and swamps. One of the group’s characteristics he found so appealing was their ability to evade the law, to skirt the rules and regulations that the government established but that the group did not embrace, such as hunting licenses or boat permits. One of the most detailed portions of the essay, and I must admit one of the most fascinating, explained how some of his relatives had developed a method for growing marijuana under the government’s nose by placing the plants in hollow trees trunks located in the vast marsh. He even referred to these figures as “our own Robin Hoods;” after all, in his mind they are defying the rules of an oppressive system for the benefit of the common people.

  17. Development and assessment of learning objects about intramuscular medication administration

    Directory of Open Access Journals (Sweden)

    Lilian Mayumi Chinen Tamashiro

    2014-10-01

    Full Text Available OBJECTIVES: to develop and assess a learning object about intramuscular medication administration for nursing undergraduates and nurses.METHOD: a random, intentional and non-probabilistic sample was selected of nurses from a Brazilian social network of nursing and students from the Undergraduate Program at the University of São Paulo School of Nursing to serve as research subjects and assess the object.RESULTS: the participants, 8 nurses and 8 students, studied the object and answered an assessment instrument that included the following criteria: educational aspects (relevance of the theme, objectives and texts/hypertexts, interface of the environment (navigation, accessibility and screen design and didactic resources (interactivity and presentation of resources. In total, 128 significant answers were obtained, 124 (97% of which were positive, assessed as excellent and satisfactory, considered as a flexible, dynamic, objective resources that is appropriate to the nursing learning process.CONCLUSION: the educational technology shows a clear and easily understandable language and the teaching method could be applied in other themes, contributing to the education and training of nursing professionals, positively affecting nursing teaching, stimulating the knowledge, autonomous and independent learning, aligned with the new professional education requirements.

  18. Introduction

    Directory of Open Access Journals (Sweden)

    Anne-Laure Van Bruaene

    2016-03-01

    Full Text Available After 450 years the Beeldenstorm of 1566 still deserves our careful historical analysis because it was unquestionably a game changer in Netherlandish politics and culture. More generally, we believe that iconoclasm breaks open cultural codes and thereby helps us to understand past societies. While we must thank the previous generations of historians for taking the iconoclasts seriously, the historians and art historians in this issue go a step further by also taking seriously the targets of iconoclasts – lay Catholic devotion and religious material culture. This theme number analyses the dialectics between iconoclasts and the material objectsthey targeted, between those who attacked and those who actively or passively defended the traditional community, between those who destroyed and those who restored or reinvented the religious patrimony, and in doing so reveals what was at stake in the sixteenth-century Low Countries.  Na 450 jaar verdient de Beeldenstorm van 1566 nog steeds een grondige historische analyse, aangezien er weinig twijfel kan bestaan over de enorme impact op de politiek en cultuur van de Nederlanden. Meer algemeen beschouwen wij iconoclasme als een kraker van culturele codes die ons helpt samenlevingen uit het verleden te begrijpen. Vorige generaties historici hebben zich vooral verdiept in de motieven van de iconoclasten, deze groep historici en kunsthistorici gaat verderdoor ook de doelwitten van de iconoclasten – de katholieke lekendevotie en de religieuze materiële cultuur – tot object van studie te maken. Dit themanummer ontrafelt de dialectiek tussen iconoclasten en de materiële cultuur die ze viseerden, tussen mannen en vrouwen die de traditionele gemeenschap aanvielen en deze die haar actief of passief verdedigden, tussen zij die het religieuze patrimonium vernielden en zij die het herstelden of herijkten. Op die manier wordt duidelijk waar het om draaide in de zestiende-eeuwse Nederlanden.

  19. Introduction to Views of Connectivism Theory of Learning

    Directory of Open Access Journals (Sweden)

    Sa’adi Sa’adi

    2016-07-01

    Full Text Available ‘Traditional’ theories of learning as pratical dimensions of psychology majorly tend to focus their interest on humans’ inner factors that influence the process of learning such as intelligences, motivation, interest, attitude, concentration and aptitude. They never connect it with instruments and technological inventions such as multimedia, cyber celluler, internet, even social organization, cultural values, traditions etc., while these are very influential nowdays towards the progress and behaviors of human life. As such the application of connectivism theory of learning which connect those dimensions of life with learning activities, is now and then insparable from any effort to promote the quality of humans’ learning itself, including in teaching and learning languages.

  20. #gottacatchemall: Exploring Pokemon Go in Search of Learning Enhancement Objects

    Science.gov (United States)

    Cacchione, Annamaria; Procter-Legg, Emma; Petersen, Sobah Abbas

    2017-01-01

    The Augmented Reality Game, Pokemon Go, took the world by storm in the summer of 2016. City landscapes were decorated with amusing, colourful objects called Pokemon, and the holiday activities were enhanced by catching these wonderful creatures. In light of this, it is inevitable for mobile language learning researchers to reflect on the impact of…

  1. Evaluating the Use of Learning Objects for Improving Calculus Readiness

    Science.gov (United States)

    Kay, Robin; Kletskin, Ilona

    2010-01-01

    Pre-calculus concepts such as working with functions and solving equations are essential for students to explore limits, rates of change, and integrals. Yet many students have a weak understanding of these key concepts which impedes performance in their first year university Calculus course. A series of online learning objects was developed to…

  2. Semantic Linking of Learning Object Repositories to DBpedia

    Science.gov (United States)

    Lama, Manuel; Vidal, Juan C.; Otero-Garcia, Estefania; Bugarin, Alberto; Barro, Senen

    2012-01-01

    Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by improving the classification mechanisms of the LO repositories. Specifically, we present a solution to automate the LO classification of the Universia repository, a collection of more than 15…

  3. Exploring Characterizations of Learning Object Repositories Using Data Mining Techniques

    Science.gov (United States)

    Segura, Alejandra; Vidal, Christian; Menendez, Victor; Zapata, Alfredo; Prieto, Manuel

    Learning object repositories provide a platform for the sharing of Web-based educational resources. As these repositories evolve independently, it is difficult for users to have a clear picture of the kind of contents they give access to. Metadata can be used to automatically extract a characterization of these resources by using machine learning techniques. This paper presents an exploratory study carried out in the contents of four public repositories that uses clustering and association rule mining algorithms to extract characterizations of repository contents. The results of the analysis include potential relationships between different attributes of learning objects that may be useful to gain an understanding of the kind of resources available and eventually develop search mechanisms that consider repository descriptions as a criteria in federated search.

  4. Introduction

    Science.gov (United States)

    Cohen, E. G. D.

    deduced for irreversible processes (C. Jarzynski). The survey of non-equilibrium steady states in statistical mechanics of classical and quantum systems employs heat bath models and the random matrix theory input. The quantum heat bath analysis and derivation of fluctuation-dissipation theorems is performed by means of the influence functional technique adopted to solve quantum master equations (D. Kusnezov). Chapter II deals with an issue of relaxation and its dynamical theory in both classical and quantum contexts. Pollicott-Ruelle resonance background for the exponential decay scenario is discussed for irreversible processes of diffusion in the Lorentz gas and multibaker models (P. Gaspard). The Pollicott-Ruelle theory reappears as a major inspiration in the survey of the behaviour of ensembles of chaotic systems, with a focus on model systems for which no rigorous results concerning the exponential decay of correlations in time is available (S. Fishman). The observation, that non-equilibrium transport processes in simple classical chaotic systems can be described in terms of fractal structures developing in the system phase space, links their formation and properties with the entropy production in the course of diffusion processes displaying a low dimensional deterministic (chaotic) origin (J. R. Dorfman). Chapter III offers an introduction to the theory of dynamical semigroups. Asymptotic properties of Markov operators and Markov semigroups acting in the set of probability densities (statistical ensemble notion is implicit) are analyzed. Ergodicity, mixing, strong (complete) mixing and sweeping are discussed in the familiar setting of "noise, chaos and fractals" (R. Rudnicki). The next step comprises a passage to quantum dynamical semigroups and completely positive dynamical maps, with an ultimate goal to introduce a consistent framework for the analysis of irreversible phenomena in open quantum systems, where dissipation and decoherence are crucial concepts (R

  5. Introduction

    International Nuclear Information System (INIS)

    Rusek, K.

    2011-01-01

    ECR ion source was installed and during the installation period beam from the cyclotron was not available for users. The source was commissioned in May but its coupling with the cyclotron requires some additional changes to the cyclotron injection system. These will be introduced in summer 2011 and accelerated beams from the new source should be available for experiments in the second half of 2011. Due to the installation of the new source, the spring experimental campaign was limited to a few weeks in June and the beginning of July. Nevertheless, we would like to welcome new users - a group of physicists from the University of loannina, Greece, led by Prof. Athena Pakou and an international team led by Dr. Marcus Scheck. In September, construction work on new buildings for the Faculties of Physics, Biology and Chemistry started in earnest in the immediate neighbourhood of our laboratory. This caused many unexpected cuts in the power and water supplies and, in addition, some flooding in the basement of our building. We were therefore forced to limit our activity and postpone a series of planned experiments to the first half of 2011. Fortunately, in October we were still able to run some simple experiments for the 6 th edition of the Polish Workshop on Acceleration and Applications of Heavy Ions, a one week event for undergraduate students from Polish universities. From 2011 onwards, this activity will be extended - we will organise an annual two-week workshop for students from abroad within the framework of the Erasmus - LLP Intensive Programme. This initiative has received the necessary funding from the Polish National Agency of Erasmus - the Foundation for the Development of the Educational System Lifelong Learning. Programme. The workshop will be organised jointly with the University of Sofia, Bulgaria, and the University of Huelva, Spain. It does not happen every year so I would like to mention that the Heavy Ion Laboratory co-organised an international conference

  6. [Learning objectives achievement in ethics education for medical school students].

    Science.gov (United States)

    Chae, Sujin; Lim, Kiyoung

    2015-06-01

    This study aimed to examine the necessity for research ethics and learning objectives in ethics education at the undergraduate level. A total of 393 fourth-year students, selected from nine medical schools, participated in a survey about learning achievement and the necessity for it. It was found that the students had very few chances to receive systematic education in research ethics and that they assumed that research ethics education was provided during graduate school or residency programs. Moreover, the students showed a relatively high learning performance in life ethics, while learning achievement was low in research ethics. Medical school students revealed low interest in and expectations of research ethics in general; therefore, it is necessary to develop guidelines for research ethics in the present situation, in which medical education mainly focuses on life ethics.

  7. Comparing L2 Word Learning through a Tablet or Real Objects: What Benefits Learning Most?

    NARCIS (Netherlands)

    Vlaar, M.A.J.; Verhagen, J.; Oudgenoeg-Paz, O.; Leseman, P.P.M.

    2017-01-01

    In child-robot interactions focused on language learning, tablets are often used to structure the interaction between the robot and the child. However, it is not clear how tablets affect children’s learning gains. Real-life objects are thought to benefit children’s word learning, but it is not clear

  8. Visual object tracking by correlation filters and online learning

    Science.gov (United States)

    Zhang, Xin; Xia, Gui-Song; Lu, Qikai; Shen, Weiming; Zhang, Liangpei

    2018-06-01

    Due to the complexity of background scenarios and the variation of target appearance, it is difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation filters based trackers (CFTs) show promising performance in object tracking. The CFTs estimate the target's position by correlation filters with different kinds of features. However, most of CFTs can hardly re-detect the target in the case of long-term tracking drifts. In this paper, a feature integration object tracker named correlation filters and online learning (CFOL) is proposed. CFOL estimates the target's position and its corresponding correlation score using the same discriminative correlation filter with multi-features. To reduce tracking drifts, a new sampling and updating strategy for online learning is proposed. Experiments conducted on 51 image sequences demonstrate that the proposed algorithm is superior to the state-of-the-art approaches.

  9. Understanding Game-Based Learning Cultures: Introduction to Special Issue

    Science.gov (United States)

    Engerman, Jason A.; Carr-Chellman, Alison

    2017-01-01

    This special issue expands our understanding of teaching and learning through video game play, with specific attention to culture. The issue gives insight into the ways educators, researchers, and developers should be discussing and designing for impactful learner-centered game-based learning experiences. The issue features forward-thinking…

  10. Introduction: Self-Regulation of Learning in Postsecondary Education

    Science.gov (United States)

    Bembenutty, Hefer

    2011-01-01

    Self-regulation of learning occupies a fundamental place in postsecondary education. "Self-regulation of learning" refers to learners' beliefs about their capability to engage in appropriate actions, thoughts, feelings, and behaviors in order to pursue valuable academic goals while self-monitoring and self-reflecting on their progress toward goal…

  11. Introduction to KHNP's Informal Learning

    Energy Technology Data Exchange (ETDEWEB)

    Suh, Jang Soo; Kim, Duck Nyoun; Goo, Ja Sung; Jeong, Yeon Oh [KHNP, Seoul (Korea, Republic of)

    2011-05-15

    Korea Hydro and Nuclear Power Co., Ltd. (KHNP) has developed digital learning content for e-Learning, based on existing offline training materials since 2003. As a result, e-Learning content for basic training subjects have almost been developed, and the company is running e-Learning courses separately from offline training. This has allowed KHNP personnel to do self study to catch up on the fields they are in, without having to leave their work. Accordingly, KHNP is attempting to bring about numerous changes to the existing courses comprised of only offline training. All basic knowledge included in each training course contains e-Learning content. And offline training is focusing more on solving problems, which will eventually help enhance work performance

  12. Learning Object Repositories in e-Learning: Challenges for Learners in Saudi Arabia

    Science.gov (United States)

    AlMegren, Abdullah; Yassin, Siti Zuraiyni

    2013-01-01

    The advent of the millennium has seen the introduction of a new paradigm for ICT-enhanced education. Advances in ICT have led to the emergence of learning networks comprising people who want to discover and share various innovative technologies on a global scale. Over the past decade, there has been tremendous worldwide interest in the concept of…

  13. Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Science.gov (United States)

    Hauffen, Karin; Bart, Eugene; Brady, Mark; Kersten, Daniel; Hegdé, Jay

    2012-01-01

    In order to quantitatively study object perception, be it perception by biological systems or by machines, one needs to create objects and object categories with precisely definable, preferably naturalistic, properties1. Furthermore, for studies on perceptual learning, it is useful to create novel objects and object categories (or object classes) with such properties2. Many innovative and useful methods currently exist for creating novel objects and object categories3-6 (also see refs. 7,8). However, generally speaking, the existing methods have three broad types of shortcomings. First, shape variations are generally imposed by the experimenter5,9,10, and may therefore be different from the variability in natural categories, and optimized for a particular recognition algorithm. It would be desirable to have the variations arise independently of the externally imposed constraints. Second, the existing methods have difficulty capturing the shape complexity of natural objects11-13. If the goal is to study natural object perception, it is desirable for objects and object categories to be naturalistic, so as to avoid possible confounds and special cases. Third, it is generally hard to quantitatively measure the available information in the stimuli created by conventional methods. It would be desirable to create objects and object categories where the available information can be precisely measured and, where necessary, systematically manipulated (or 'tuned'). This allows one to formulate the underlying object recognition tasks in quantitative terms. Here we describe a set of algorithms, or methods, that meet all three of the above criteria. Virtual morphogenesis (VM) creates novel, naturalistic virtual 3-D objects called 'digital embryos' by simulating the biological process of embryogenesis14. Virtual phylogenesis (VP) creates novel, naturalistic object categories by simulating the evolutionary process of natural selection9,12,13. Objects and object categories created

  14. A Convergent Participation Model for Evaluation of Learning Objects

    Directory of Open Access Journals (Sweden)

    John Nesbit

    2002-10-01

    Full Text Available The properties that distinguish learning objects from other forms of educational software - global accessibility, metadata standards, finer granularity and reusability - have implications for evaluation. This article proposes a convergent participation model for learning object evaluation in which representatives from stakeholder groups (e.g., students, instructors, subject matter experts, instructional designers, and media developers converge toward more similar descriptions and ratings through a two-stage process supported by online collaboration tools. The article reviews evaluation models that have been applied to educational software and media, considers models for gathering and meta-evaluating individual user reviews that have recently emerged on the Web, and describes the peer review model adopted for the MERLOT repository. The convergent participation model is assessed in relation to other models and with respect to its support for eight goals of learning object evaluation: (1 aid for searching and selecting, (2 guidance for use, (3 formative evaluation, (4 influence on design practices, (5 professional development and student learning, (6 community building, (7 social recognition, and (8 economic exchange.

  15. An Analysis on Usage Preferences of Learning Objects and Learning Object Repositories among Pre-Service Teachers

    Science.gov (United States)

    Yeni, Sabiha; Ozdener, Nesrin

    2014-01-01

    The purpose of the study is to investigate how pre-service teachers benefit from learning objects repositories while preparing course content. Qualitative and quantitative data collection methods were used in a mixed methods approach. This study was carried out with 74 teachers from the Faculty of Education. In the first phase of the study,…

  16. Personalised Learning Object System Based on Self-Regulated Learning Theories

    Directory of Open Access Journals (Sweden)

    Ali Alharbi

    2014-06-01

    Full Text Available Self-regulated learning has become an important construct in education research in the last few years. Selfregulated learning in its simple form is the learner’s ability to monitor and control the learning process. There is increasing research in the literature on how to support students become more self-regulated learners. However, the advancement in the information technology has led to paradigm changes in the design and development of educational content. The concept of learning object instructional technology has emerged as a result of this shift in educational technology paradigms. This paper presents the results of a study that investigated the potential educational effectiveness of a pedagogical framework based on the self-regulated learning theories to support the design of learning object systems to help computer science students. A prototype learning object system was developed based on the contemporary research on self-regulated learning. The system was educationally evaluated in a quasi-experimental study over two semesters in a core programming languages concepts course. The evaluation revealed that a learning object system that takes into consideration contemporary research on self-regulated learning can be an effective learning environment to support computer science education.

  17. Introduction to Psychology Students' Parental Status Predicts Learning Preferences and Life Meaning

    Science.gov (United States)

    Lovell, Elyse D'nn; Munn, Nathan

    2017-01-01

    This study explores Introduction to Psychology students' learning preferences and their personal search for meaning while considering their parental status. The findings suggest that parents show preferences for project-based learning and have lower levels of searching for meaning than non-parents. When parental status, age, and finances were…

  18. Introduction to Psychology and Leadership. Part Nine; Morale and Esprit De Corps. Content Outline, Terminal and Enabling Objectives.

    Science.gov (United States)

    Westinghouse Learning Corp., Annapolis, MD.

    The content is outlined and the terminal and enabling objectives are provided for a curriculum area on morale and esprit de corps (see EM 010 439, EM 010 440, and EM 010 461), part of an introduction to psychology and leadership course for the United States Naval Academy (see the final reports which summarize the course development project, EM 010…

  19. How do newcomers learn to use an object?

    DEFF Research Database (Denmark)

    Kjær, Malene

    in the daily practice of assessing how a patient is doing. Learning how to operate it in situ is thus an important task.I will present an empirical example from clinical nursing education in a Danish hospital, where students learn to use specific medical objects (a sphygmomanometer) in the setting...... status and stance (Heritage, 2012) epistemic, cooperative and instrumental stance (Goodwin, 2007) is important, as is the understanding of situated embodied cognition in the workplace practice: the knowledge ‘understanding and use of objects’ that has been limited to the nurse, translates through...

  20. Mobile Authoring of Open Educational Resources as Reusable Learning Objects

    Directory of Open Access Journals (Sweden)

    Dr Kinshuk

    2013-06-01

    Full Text Available E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS, or other systems which deploy content to mobile learners (Castillo & Ayala, 2008; Chu, Hwang, & Tseng, 2010; Hsu & Chen, 2010; Nakabayashi, 2009; Zualkernan, Nikkhah, & Al-Sabah, 2009. However, implementations which author content in a mobile context do not typically permit reuse across multiple contexts due to a lack of standardization. Standards based (IMS and SCORM authoring implementations exist for non-mobile platforms (Gonzalez-Barbone & Anido-Rifon, 2008; Griffiths, Beauvoir, Liber, & Barrett-Baxendale, 2009; Téllez, 2010; Yang, Chiu, Tsai, & Wu, 2004. However, this paradigm precludes capturing learning where and when it occurs. Consequently, RLO authored for e-learning lack learner generated content, especially with timely, relevant, and location aware examples.

  1. Learning-based stochastic object models for characterizing anatomical variations

    Science.gov (United States)

    Dolly, Steven R.; Lou, Yang; Anastasio, Mark A.; Li, Hua

    2018-03-01

    It is widely known that the optimization of imaging systems based on objective, task-based measures of image quality via computer-simulation requires the use of a stochastic object model (SOM). However, the development of computationally tractable SOMs that can accurately model the statistical variations in human anatomy within a specified ensemble of patients remains a challenging task. Previously reported numerical anatomic models lack the ability to accurately model inter-patient and inter-organ variations in human anatomy among a broad patient population, mainly because they are established on image data corresponding to a few of patients and individual anatomic organs. This may introduce phantom-specific bias into computer-simulation studies, where the study result is heavily dependent on which phantom is used. In certain applications, however, databases of high-quality volumetric images and organ contours are available that can facilitate this SOM development. In this work, a novel and tractable methodology for learning a SOM and generating numerical phantoms from a set of volumetric training images is developed. The proposed methodology learns geometric attribute distributions (GAD) of human anatomic organs from a broad patient population, which characterize both centroid relationships between neighboring organs and anatomic shape similarity of individual organs among patients. By randomly sampling the learned centroid and shape GADs with the constraints of the respective principal attribute variations learned from the training data, an ensemble of stochastic objects can be created. The randomness in organ shape and position reflects the learned variability of human anatomy. To demonstrate the methodology, a SOM of an adult male pelvis is computed and examples of corresponding numerical phantoms are created.

  2. Virtual learning object and environment: a concept analysis.

    Science.gov (United States)

    Salvador, Pétala Tuani Candido de Oliveira; Bezerril, Manacés Dos Santos; Mariz, Camila Maria Santos; Fernandes, Maria Isabel Domingues; Martins, José Carlos Amado; Santos, Viviane Euzébia Pereira

    2017-01-01

    To analyze the concept of virtual learning object and environment according to Rodgers' evolutionary perspective. Descriptive study with a mixed approach, based on the stages proposed by Rodgers in his concept analysis method. Data collection occurred in August 2015 with the search of dissertations and theses in the Bank of Theses of the Coordination for the Improvement of Higher Education Personnel. Quantitative data were analyzed based on simple descriptive statistics and the concepts through lexicographic analysis with support of the IRAMUTEQ software. The sample was made up of 161 studies. The concept of "virtual learning environment" was presented in 99 (61.5%) studies, whereas the concept of "virtual learning object" was presented in only 15 (9.3%) studies. A virtual learning environment includes several and different types of virtual learning objects in a common pedagogical context. Analisar o conceito de objeto e de ambiente virtual de aprendizagem na perspectiva evolucionária de Rodgers. Estudo descritivo, de abordagem mista, realizado a partir das etapas propostas por Rodgers em seu modelo de análise conceitual. A coleta de dados ocorreu em agosto de 2015 com a busca de dissertações e teses no Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Os dados quantitativos foram analisados a partir de estatística descritiva simples e os conceitos pela análise lexicográfica com suporte do IRAMUTEQ. A amostra é constituída de 161 estudos. O conceito de "ambiente virtual de aprendizagem" foi apresentado em 99 (61,5%) estudos, enquanto o de "objeto virtual de aprendizagem" em apenas 15 (9,3%). Concluiu-se que um ambiente virtual de aprendizagem reúne vários e diferentes tipos de objetos virtuais de aprendizagem em um contexto pedagógico comum.

  3. Object-oriented user interfaces for personalized mobile learning

    CERN Document Server

    Alepis, Efthimios

    2014-01-01

    This book presents recent research in mobile learning and advanced user interfaces. It is shown how the combination of this fields can result in personalized educational software that meets the requirements of state-of-the-art mobile learning software. This book provides a framework that is capable of incorporating the software technologies, exploiting a wide range of their current advances and additionally investigating ways to go even further by providing potential solutions to future challenges. The presented approach uses the well-known Object-Oriented method in order to address these challenges. Throughout this book, a general model is constructed using Object-Oriented Architecture. Each chapter focuses on the construction of a specific part of this model, while in the conclusion these parts are unified. This book will help software engineers build more sophisticated personalized software that targets in mobile education, while at the same time retaining a high level of adaptivity and user-friendliness w...

  4. Structured Kernel Dictionary Learning with Correlation Constraint for Object Recognition.

    Science.gov (United States)

    Wang, Zhengjue; Wang, Yinghua; Liu, Hongwei; Zhang, Hao

    2017-06-21

    In this paper, we propose a new discriminative non-linear dictionary learning approach, called correlation constrained structured kernel KSVD, for object recognition. The objective function for dictionary learning contains a reconstructive term and a discriminative term. In the reconstructive term, signals are implicitly non-linearly mapped into a space, where a structured kernel dictionary, each sub-dictionary of which lies in the span of the mapped signals from the corresponding class, is established. In the discriminative term, by analyzing the classification mechanism, the correlation constraint is proposed in kernel form, constraining the correlations between different discriminative codes, and restricting the coefficient vectors to be transformed into a feature space, where the features are highly correlated inner-class and nearly independent between-classes. The objective function is optimized by the proposed structured kernel KSVD. During the classification stage, the specific form of the discriminative feature is needless to be known, while the inner product of the discriminative feature with kernel matrix embedded is available, and is suitable for a linear SVM classifier. Experimental results demonstrate that the proposed approach outperforms many state-of-the-art dictionary learning approaches for face, scene and synthetic aperture radar (SAR) vehicle target recognition.

  5. Introduction of Interactive Learning into French University Physics Classrooms

    Science.gov (United States)

    Rudolph, Alexander L.; Lamine, Brahim; Joyce, Michael; Vignolles, Hélène; Consiglio, David

    2014-01-01

    We report on a project to introduce interactive learning strategies (ILS) to physics classes at the Université Pierre et Marie Curie, one of the leading science universities in France. In Spring 2012, instructors in two large introductory classes, first-year, second-semester mechanics, and second-year introductory electricity and magnetism,…

  6. Introduction: Global Outlook on Adult Education and Learning Policies

    DEFF Research Database (Denmark)

    Milana, Marcella

    2015-01-01

    opportunities to flourish or perish. Further, it acknowledges the importance for adult education and learning policies of governance beyond and across the purview of governmental structures that operate within single countries, where state-led institutions and non-governmental international organizations play...

  7. Introduction to Special Issue on Games + Learning + Society

    Science.gov (United States)

    Squire, Kurt; Gaydos, Matthew; DeVane, Ben

    2016-01-01

    Digital games for learning have quickly transitioned from a theoretical possibility, to a hyped technology, to an idea that almost seems quaint compared to advances in Biochips, Smart Robots, and self-driving cars. As a field, it is now better understand what games are good for, what they are not, and in what kinds of situations they can be…

  8. Introduction into Sparks of the Learning Analytics Future

    Science.gov (United States)

    Pechenizkiy, Mykola; Gaševic, Dragan

    2014-01-01

    This section offers a compilation of 16 extended abstracts summarizing research of the doctoral students who participated in the Second Learning Analytics Summer Institute (LASI 2014) held at Harvard University in July 2014. The abstracts highlight the motivation, main goals and expected contributions to the field from the ongoing learning…

  9. Introduction into sparks of the learning analytics future

    NARCIS (Netherlands)

    Pechenizkiy, M.; Gasevic, D.

    2015-01-01

    This section offers a compilation of 16 extended abstracts summarizing research of the doctoral students who participated in the Second Learning Analytics Summer Institute (LASI 2014) held at Harvard University in July 2014. The abstracts highlight the motivation, main goals and expected

  10. Introduction to machine learning: k-nearest neighbors.

    Science.gov (United States)

    Zhang, Zhongheng

    2016-06-01

    Machine learning techniques have been widely used in many scientific fields, but its use in medical literature is limited partly because of technical difficulties. k-nearest neighbors (kNN) is a simple method of machine learning. The article introduces some basic ideas underlying the kNN algorithm, and then focuses on how to perform kNN modeling with R. The dataset should be prepared before running the knn() function in R. After prediction of outcome with kNN algorithm, the diagnostic performance of the model should be checked. Average accuracy is the mostly widely used statistic to reflect the kNN algorithm. Factors such as k value, distance calculation and choice of appropriate predictors all have significant impact on the model performance.

  11. Introduction to The neurosciences and music IV: learning and memory.

    Science.gov (United States)

    Altenmüller, E; Demorest, S M; Fujioka, T; Halpern, A R; Hannon, E E; Loui, P; Majno, M; Oechslin, M S; Osborne, N; Overy, K; Palmer, C; Peretz, I; Pfordresher, P Q; Särkämö, T; Wan, C Y; Zatorre, R J

    2012-04-01

    The conference entitled "The Neurosciences and Music-IV: Learning and Memory'' was held at the University of Edinburgh from June 9-12, 2011, jointly hosted by the Mariani Foundation and the Institute for Music in Human and Social Development, and involving nearly 500 international delegates. Two opening workshops, three large and vibrant poster sessions, and nine invited symposia introduced a diverse range of recent research findings and discussed current research directions. Here, the proceedings are introduced by the workshop and symposia leaders on topics including working with children, rhythm perception, language processing, cultural learning, memory, musical imagery, neural plasticity, stroke rehabilitation, autism, and amusia. The rich diversity of the interdisciplinary research presented suggests that the future of music neuroscience looks both exciting and promising, and that important implications for music rehabilitation and therapy are being discovered. © 2012 New York Academy of Sciences.

  12. A Design-Based introduction to learning centres

    Directory of Open Access Journals (Sweden)

    Anne Kristine Petersen

    2016-05-01

    Full Text Available In the last decades, outskirt areas in Denmark have suffered from depopulation and economic decline, a development that has led to a centralised education system where higher education institutions are vested in a central body in urban areas rather than in rural communities. University College Zealand has initiated a research project in collaboration with three municipalities in the region of Zealand and partners from the Nordic countries, which investigates the potential of municipal learning centres as a means to solve educational challenges in outskirt areas. A municipal learning centre is a physical location owned by a municipality, which offers (asynchronous courses through digital couplings to higher education institutions. The paper presents research findings showing that the development of an ecosystem based on collaboration between municipalities, higher education institutions and private and public businesses is pivotal for achieving a sustainable model for online education in rural areas. Furthermore, the paper presents a series of thinking technologies in the form of models and categories, which can be used as tools for establishing learning centres and designing learning activities for learning centres. --- Kommuner placeret i yderområder i Danmark har i de seneste årtier oplevet affolkning og økonomisk nedgang, og denne udvikling har medvirket til et centraliseret uddannelsessystem, hvor videregående uddannelsesinstitutioner flyttes fra yderområder til større byer. University College Sjælland har igangsat et forskningsprojekt i samarbejde med tre kommuner i Region Sjælland og partnere fra de nordiske lande, som har til formål at undersøge hvorvidt uddannelseskonceptet kommunale læringscentre kan medvirke til at løse uddannelsesudfordringer i landets yderområder. Et kommunalt læringscenter er en fysisk lokation som ejes af en kommune, som gennem læringscenteret kan give borgere mulighed for at tage et kursus eller en

  13. Algorithms for Learning Preferences for Sets of Objects

    Science.gov (United States)

    Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric

    2010-01-01

    A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical

  14. Space Objects Maneuvering Detection and Prediction via Inverse Reinforcement Learning

    Science.gov (United States)

    Linares, R.; Furfaro, R.

    This paper determines the behavior of Space Objects (SOs) using inverse Reinforcement Learning (RL) to estimate the reward function that each SO is using for control. The approach discussed in this work can be used to analyze maneuvering of SOs from observational data. The inverse RL problem is solved using the Feature Matching approach. This approach determines the optimal reward function that a SO is using while maneuvering by assuming that the observed trajectories are optimal with respect to the SO's own reward function. This paper uses estimated orbital elements data to determine the behavior of SOs in a data-driven fashion.

  15. From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

    Science.gov (United States)

    Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan

    2015-01-01

    This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a…

  16. Personalised learning object based on multi-agent model and learners’ learning styles

    Directory of Open Access Journals (Sweden)

    Noppamas Pukkhem

    2011-09-01

    Full Text Available A multi-agent model is proposed in which learning styles and a word analysis technique to create a learning object recommendation system are used. On the basis of a learning style-based design, a concept map combination model is proposed to filter out unsuitable learning concepts from a given course. Our learner model classifies learners into eight styles and implements compatible computational methods consisting of three recommendations: i non-personalised, ii preferred feature-based, and iii neighbour-based collaborative filtering. The analysis of preference error (PE was performed by comparing the actual preferred learning object with the predicted one. In our experiments, the feature-based recommendation algorithm has the fewest PE.

  17. Statistical physics of learning from examples: a brief introduction

    International Nuclear Information System (INIS)

    Broeck, C. van den

    1994-01-01

    The problem of how one can learn from examples is illustrated on the case of a student perception trained by the Hebb rule on examples generated by a teacher perception. Two basic quantities are calculated: the training error and the generalization error. The obtained results are found to be typical. Other training rules are discussed. For the case of an Ising student with an Ising teacher, the existence of a first order phase transition is shown. Special effects such as dilution, queries, rejection, etc. are discussed and some results for multilayer networks are reviewed. In particular, the properties of a self-similar committee machine are derived. Finally, we discuss the statistic of generalization, with a review of the Hoeffding inequality, the Dvoretzky Kiefer Wolfowitz theorem and the Vapnik Chervonenkis theorem. (author). 29 refs, 6 figs

  18. An introduction and overview of machine learning in neurosurgical care.

    Science.gov (United States)

    Senders, Joeky T; Zaki, Mark M; Karhade, Aditya V; Chang, Bliss; Gormley, William B; Broekman, Marike L; Smith, Timothy R; Arnaout, Omar

    2018-01-01

    Machine learning (ML) is a branch of artificial intelligence that allows computers to learn from large complex datasets without being explicitly programmed. Although ML is already widely manifest in our daily lives in various forms, the considerable potential of ML has yet to find its way into mainstream medical research and day-to-day clinical care. The complex diagnostic and therapeutic modalities used in neurosurgery provide a vast amount of data that is ideally suited for ML models. This systematic review explores ML's potential to assist and improve neurosurgical care. A systematic literature search was performed in the PubMed and Embase databases to identify all potentially relevant studies up to January 1, 2017. All studies were included that evaluated ML models assisting neurosurgical treatment. Of the 6,402 citations identified, 221 studies were selected after subsequent title/abstract and full-text screening. In these studies, ML was used to assist surgical treatment of patients with epilepsy, brain tumors, spinal lesions, neurovascular pathology, Parkinson's disease, traumatic brain injury, and hydrocephalus. Across multiple paradigms, ML was found to be a valuable tool for presurgical planning, intraoperative guidance, neurophysiological monitoring, and neurosurgical outcome prediction. ML has started to find applications aimed at improving neurosurgical care by increasing the efficiency and precision of perioperative decision-making. A thorough validation of specific ML models is essential before implementation in clinical neurosurgical care. To bridge the gap between research and clinical care, practical and ethical issues should be considered parallel to the development of these techniques.

  19. Employing Machine-Learning Methods to Study Young Stellar Objects

    Science.gov (United States)

    Moore, Nicholas

    2018-01-01

    Vast amounts of data exist in the astronomical data archives, and yet a large number of sources remain unclassified. We developed a multi-wavelength pipeline to classify infrared sources. The pipeline uses supervised machine learning methods to classify objects into the appropriate categories. The program is fed data that is already classified to train it, and is then applied to unknown catalogues. The primary use for such a pipeline is the rapid classification and cataloging of data that would take a much longer time to classify otherwise. While our primary goal is to study young stellar objects (YSOs), the applications extend beyond the scope of this project. We present preliminary results from our analysis and discuss future applications.

  20. Unfreezing Higher Education Institutions? Understanding the Introduction of Quality Management in Teaching and Learning in Germany

    Science.gov (United States)

    Seyfried, Markus; Ansmann, Moritz

    2018-01-01

    Quality management (QM) in teaching and learning has strongly "infected" the higher education sector and spread around the world. It has almost everywhere become an integral part of higher education reforms. While existing research on QM mainly focuses on the national level from a macro-perspective, its introduction at the institutional…

  1. The Use of Mobile Apps to Enhance Student Learning in Introduction to Psychology

    Science.gov (United States)

    Diliberto-Macaluso, Kristen; Hughes, Alan

    2016-01-01

    The current study examined the impact of mobile applications or apps on student learning in an introduction to psychology course. Students were assigned to complete a learner-centered worksheet activity on the brain and central nervous system using either an interactive 3-D Brain app or their online course textbook. We measured student learning…

  2. Teaching Introduction to Psychology: Promoting Student Learning Using Digital Storytelling and Community Engagement

    Science.gov (United States)

    Grange, Christina; Miller, Antoinette

    2018-01-01

    This paper demonstrates how partnering with digital storytelling initiatives, like the StoryCorps project, can yield fruitful service-learning opportunities, while also supporting innovative approaches for teaching students from a range of disciplines who are enrolled in Introduction to Psychology (PSYC 1101). While various pedagogical tools for…

  3. Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

    Science.gov (United States)

    Niemann, Katja; Wolpers, Martin

    2015-01-01

    In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

  4. Enhancing Deep Learning: Lessons from the Introduction of Learning Teams in Management Education in France

    Science.gov (United States)

    Borredon, Liz; Deffayet, Sylvie; Baker, Ann C.; Kolb, David

    2011-01-01

    Drawing from the reflective teaching and learning practices recommended in influential publications on learning styles, experiential learning, deep learning, and dialogue, the authors tested the concept of "learning teams" in the framework of a leadership program implemented for the first time in a top French management school…

  5. Assessing Program Learning Objectives to Improve Undergraduate Physics Education

    Science.gov (United States)

    Menke, Carrie

    2014-03-01

    Our physics undergraduate program has five program learning objectives (PLOs) focusing on (1) physical principles, (2) mathematical expertise, (3) experimental technique, (4) communication and teamwork, and (5) research proficiency. One PLO is assessed each year, with the results guiding modifications in our curriculum and future assessment practices; we have just completed our first cycle of assessing all PLOs. Our approach strives to maximize the ease and applicability of our assessment practices while maintaining faculty's flexibility in course design and delivery. Objectives are mapped onto our core curriculum with identified coursework collected as direct evidence. We've utilized mostly descriptive rubrics, applying them at the course and program levels as well as sharing them with the students. This has resulted in more efficient assessment that is also applicable to reaccreditation efforts, higher inter-rater reliability than with other rubric types, and higher quality capstone projects. We've also found that the varied quality of student writing can interfere with our assessment of other objectives. This poster outlines our processes, resources, and how we have used PLO assessment to strengthen our undergraduate program.

  6. Objects first with Java a practical introduction using BlueJ

    CERN Document Server

    Barnes, David J

    2009-01-01

    Its close integration with the BlueJ development environment allows this book to focus on key aspects of object-oriented software development from day one. BlueJ's clear visualization of classes and objects means that students can immediately appreciate the differences between them, and gain a much better understanding of the nature of an object than they would from simply reading source code. Unlike traditional textbooks, the chapters are not ordered by language features but by software development concepts. Language features are introduced as a response to the problems to be solved. A large number of different, interesting projects are used to provide variety and avoid the monotony of a running problem. The authors avoid the dangers of trying to teach all there is to know about each topic by using a spiral approach - introducing topics in a simple context early on and then revisiting later to deepen understanding. Throughout, the emphasis is on developing a practical approach to programming, with students e...

  7. Delivery of Learning Knowledge Objects Using Fuzzy Clustering

    Science.gov (United States)

    Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay

    2016-01-01

    e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects…

  8. Web based Interactive 3D Learning Objects for Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Stefan Hesse

    2012-02-01

    Full Text Available In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and physical processes in the interior of complex devices. This paper addresses the challenge of combining rich interactivity and adequate realism with 3D exercise material for distance elearning.

  9. Building a Smart E-Portfolio Platform for Optimal E-Learning Objects Acquisition

    Directory of Open Access Journals (Sweden)

    Chih-Kun Ke

    2013-01-01

    Full Text Available In modern education, an e-portfolio platform helps students in acquiring e-learning objects in a learning activity. Quality is an important consideration in evaluating the desirable e-learning object. Finding a means of determining a high quality e-learning object from a large number of candidate e-learning objects is an important requirement. To assist student learning in a modern e-portfolio platform, this work proposed an optimal selection approach determining a reasonable e-learning object from various candidate e-learning objects. An optimal selection approach which uses advanced information techniques is proposed. Each e-learning object undergoes a formalization process. An Information Retrieval (IR technique extracts and analyses key concepts from the student’s previous learning contexts. A context-based utility model computes the expected utility values of various e-learning objects based on the extracted key concepts. The expected utility values of e-learning objects are used in a multicriteria decision analysis to determine the optimal selection order of the candidate e-learning objects. The main contribution of this work is the demonstration of an effective e-learning object selection method which is easy to implement within an e-portfolio platform and which makes it smarter.

  10. Learning objects as coadjuvants in the human physiology teaching-learning process

    Directory of Open Access Journals (Sweden)

    Marcus Vinícius Lara

    2014-08-01

    Full Text Available The use of Information and Communication Technologies (ICTs in the academic environment of biomedical area has gained much importance, both for their ability to complement the understanding of the subject obtained in the classroom, is the ease of access, or makes more pleasure the learning process, since these tools are present in everyday of the students and use a simple language. Considering that, this study aims to report the experience of building learning objects in human physiology as a tool for learning facilitation, and discuss the impact of this teaching methodology

  11. The Inclusion Potential of Student Production of Digital Learning Objects

    DEFF Research Database (Denmark)

    Levinsen, Karin Tweddell; Sørensen, Birgitte Holm

    2016-01-01

    This account of the inclusion potential of students’ digital production is based on the large-scale research and development project Students’ Digital Production and Students as Learning Designers (2013–2015), funded by the Danish Ministry of Education. The target groups were primary and lower......-designed framework that accommodates and empowers students’ agency. The Danish parliament passed the Law of Inclusion In 2012 with the objective that by 2015, 96% of all students would be included in normal classes. Inclusion was not part of the initial research agenda, but this changed unexpectedly during...... the project. Specifically, students who did not participate or participated only sporadically in everyday school activities at the beginning of the project adopted new positions as participants and agents. We understand these changes as inclusive processes initiated by the combination of teacher...

  12. I learning object: la condivisione dei materiali didattici come naturale evoluzione del web

    Directory of Open Access Journals (Sweden)

    Corrado Petrucco

    2004-01-01

    Full Text Available Discussion of Learning Objects (LO and sharing of educational materials. In addition to the standards that exist today, some issues are dealt with the emergence of these new objects of learning.

  13. Discriminative object tracking via sparse representation and online dictionary learning.

    Science.gov (United States)

    Xie, Yuan; Zhang, Wensheng; Li, Cuihua; Lin, Shuyang; Qu, Yanyun; Zhang, Yinghua

    2014-04-01

    We propose a robust tracking algorithm based on local sparse coding with discriminative dictionary learning and new keypoint matching schema. This algorithm consists of two parts: the local sparse coding with online updated discriminative dictionary for tracking (SOD part), and the keypoint matching refinement for enhancing the tracking performance (KP part). In the SOD part, the local image patches of the target object and background are represented by their sparse codes using an over-complete discriminative dictionary. Such discriminative dictionary, which encodes the information of both the foreground and the background, may provide more discriminative power. Furthermore, in order to adapt the dictionary to the variation of the foreground and background during the tracking, an online learning method is employed to update the dictionary. The KP part utilizes refined keypoint matching schema to improve the performance of the SOD. With the help of sparse representation and online updated discriminative dictionary, the KP part are more robust than the traditional method to reject the incorrect matches and eliminate the outliers. The proposed method is embedded into a Bayesian inference framework for visual tracking. Experimental results on several challenging video sequences demonstrate the effectiveness and robustness of our approach.

  14. Personalized Learning Objects Recommendation Based on the Semantic-Aware Discovery and the Learner Preference Pattern

    Science.gov (United States)

    Wang, Tzone I; Tsai, Kun Hua; Lee, Ming Che; Chiu, Ti Kai

    2007-01-01

    With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future,…

  15. Object tracking by occlusion detection via structured sparse learning

    KAUST Repository

    Zhang, Tianzhu

    2013-06-01

    Sparse representation based methods have recently drawn much attention in visual tracking due to good performance against illumination variation and occlusion. They assume the errors caused by image variations can be modeled as pixel-wise sparse. However, in many practical scenarios these errors are not truly pixel-wise sparse but rather sparsely distributed in a structured way. In fact, pixels in error constitute contiguous regions within the object\\'s track. This is the case when significant occlusion occurs. To accommodate for non-sparse occlusion in a given frame, we assume that occlusion detected in previous frames can be propagated to the current one. This propagated information determines which pixels will contribute to the sparse representation of the current track. In other words, pixels that were detected as part of an occlusion in the previous frame will be removed from the target representation process. As such, this paper proposes a novel tracking algorithm that models and detects occlusion through structured sparse learning. We test our tracker on challenging benchmark sequences, such as sports videos, which involve heavy occlusion, drastic illumination changes, and large pose variations. Experimental results show that our tracker consistently outperforms the state-of-the-art. © 2013 IEEE.

  16. E-learning objects and actor-networks as configuring information literacy teaching

    DEFF Research Database (Denmark)

    Schreiber, Trine Louise

    2017-01-01

    Introduction. With actor-network theory (ANT) as the theoretical lens the aim of the paper is to examine attempts to build network for shaping information literacy teaching. Method. The paper is based on a study of a project in 2014-2016 where information professionals representing ten educational...... libraries produced and implemented e-learning objects in information literacy teaching. The material was collected through interviews, observations, documents and feedback sessions. Analysis. Latour´s concept of translation and Callon´s four translation moments are used to analyze the network building...... that a network configuring information literacy teaching based on new interactive roles has not been stabilized. Conclusion. The paper concludes that the strength of ANT is first of all the mediation of an overview of different kinds of actors involved in network building. Further, the paper proposes to combine...

  17. Learning to Appraise the Quality of Qualitative Research Articles: A Contextualized Learning Object for Constructing Knowledge

    Science.gov (United States)

    Chenail, Ronald J.

    2011-01-01

    Helping beginning qualitative researchers critically appraise qualitative research articles is a common learning objective for introductory methodology courses. To aid students in achieving competency in appraising the quality of qualitative research articles, a multi-part activity incorporating the Critical Appraisal Skills Programme's (CASP)…

  18. Activities Joining Learning Objectives to Assessments in Introductory Astronomy

    Science.gov (United States)

    Palen, Stacy E.; Larson, Ana M.

    2015-01-01

    In recent years, accreditation boards and other governing bodies have been pushing hard for explicit learning goals and quantitative measures of assessment for general education courses such as Astronomy 101. This added assessment burden can be problematic, especially for harried adjuncts teaching multiple courses at multiple institutions. It would be helpful to have a field-tested set of combined hands-on activities and assessment tools that help instructors meet these assessment requirements. The authors have produced just such a set. We have been using hands-on activities in our classrooms for more than 15 years. These activities require no special equipment or preparation and can be completed within an hour by most students working in groups of two or three. The sections of each activity are arranged in steps, guiding the students from initial knowledge-level questions or practice to a final evaluation or synthesis of what they have just accomplished. Students thus get practice thinking at higher cognitive levels. A recent addition to these activities is the inclusion of formalized learning objectives and accompanying pre- and post-activity questions. The pre-activity questions address common misconceptions, relate familiar analogous terrestrial examples to the activity, and act as a brief refresher meta-concepts like scale factors, measurements, and basic mathematics review. The post-activity questions review the most important concepts introduced in the activity. We present a number of examples as well as a summary as to how we have initiated their use in a large lecture setting of 300 students, in smaller classrooms of 15 students, and in a community college online course.

  19. Developing Goals and Objectives for Gameplay and Learning

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke

    2014-01-01

    This chapter introduces goals in games and then potential differences between learning goals and goalsin games, as well as the difficulties that may occur when implementing learning goals in games....

  20. EDUCATEE'S THESAURUS AS AN OBJECT OF MEASURING LEARNED MATERIAL OF THE DISTANCE LEARNING COURSE

    Directory of Open Access Journals (Sweden)

    Alexander Aleksandrovich RYBANOV

    2013-10-01

    Full Text Available Monitoring and control over the process of studying the distance learning course are based on solving the problem of making out an adequate integral mark to the educatee for mastering entire study course, by testing results. It is suggested to use the degree of correspondence between educatee's thesaurus and the study course thesaurus as an integral mark for the degree of mastering the distance learning course. Study course thesaurus is a set of the course objects with relations between them specified. The article considers metrics of the study course thesaurus complexity, made on the basis of the graph theory and the information theory. It is suggested to use the amount of information contained in the study course thesaurus graph as the metrics of the study course thesaurus complexity. Educatee's thesaurus is considered as an object of measuring educational material learned at the semantic level and is assessed on the basis of amount of information contained in its graph, taking into account the factors of learning the thesaurus objects.

  1. Data quality objectives lessons learned for tank waste characterization

    International Nuclear Information System (INIS)

    Eberlein, S.J.

    1996-01-01

    The tank waste characterization process is an integral part of the overall effort to control the hazards associated with radioactive wastes stored in underground tanks at the Hanford Reservation. The programs involved in the characterization of the wastes are employing Data Quality Objective (DQO) process in all information and data collection activities. The DQO process is used by the programs to address an issue or problem rather than a specific sampling event. Practical limits do not always allow for precise characterization of a tank or the implementation of the DQO process. Because of the flexibility of the DQO process, it can be used as a tool for sampling and analysis of the underground waste storage tanks. The iterative nature of the DQO process allows it to be used as additional information is claimed or lessons are learned concerning an issue or problem requiring sampling and analysis of tank waste. In addition, the application of DQO process forces alternative actions to be considered when precise characterization of a tank or the full implementation of the DQO process is not practical

  2. Learning from Objects: A Future for 21st Century Urban Arts Education

    Science.gov (United States)

    Lasky, Dorothea

    2009-01-01

    In this technological age, where mind and body are increasingly disconnected in the classroom, object-based learning--along with strong museum-school partnerships--provide many benefits for student learning. In this article, the author first outlines some of the special mind-body connections that object-based learning in museums affords learners…

  3. Advanced technology for the reuse of learning objects in a course-management system

    NARCIS (Netherlands)

    Strijker, A.; Collis, Betty

    2005-01-01

    The creation, labelling, use, and re-use of learning objects is an important area of development involving learning technology. In the higher education context, instructors typically use a course management system (CMS) to organize and manage their own learning objects. The needs and practices of

  4. Improving a Deep Learning based RGB-D Object Recognition Model by Ensemble Learning

    DEFF Research Database (Denmark)

    Aakerberg, Andreas; Nasrollahi, Kamal; Heder, Thomas

    2018-01-01

    Augmenting RGB images with depth information is a well-known method to significantly improve the recognition accuracy of object recognition models. Another method to im- prove the performance of visual recognition models is ensemble learning. However, this method has not been widely explored...... in combination with deep convolutional neural network based RGB-D object recognition models. Hence, in this paper, we form different ensembles of complementary deep convolutional neural network models, and show that this can be used to increase the recognition performance beyond existing limits. Experiments...

  5. Conformance Testing, the Elixer within the Chain for Learning Scenarios and Objects

    NARCIS (Netherlands)

    Nadolski, Rob; O'Neill, Owen; Vegt van der, Wim; Koper, Rob

    2006-01-01

    The chain for learning scenarios and learning objects includes five iterative links: (i) development, (ii) publication, (iii) making resources searchable and reusable and (iv) facilitating their arrangement (v) towards a runnable unit of learning. The use of e-learning specifications and

  6. Portal and repository for sharing mathematical learning objects

    NARCIS (Netherlands)

    Zanden, van der A.H.W.; Cuypers, H.; Luca, J.; Weippl, E.R.

    2008-01-01

    Now that Virtual Learning Environments are common within higher education in the Netherlands it is time to work with online validated informational resources. Technologies such as repositories are the systems to manage learning content but are most inconvenient in use. The national project NKBW aims

  7. The Development of the Virtual Learning Media of the Sacred Object Artwork

    Science.gov (United States)

    Nuanmeesri, Sumitra; Jamornmongkolpilai, Saran

    2018-01-01

    This research aimed to develop the virtual learning media of the sacred object artwork by applying the concept of the virtual technology in order to publicize knowledge on the cultural wisdom of the sacred object artwork. It was done by designing and developing the virtual learning media of the sacred object artwork for the virtual presentation.…

  8. Guest Editor's introduction: Selected papers from the 4th USENIX Conference on Object-Oriented Technologies and Systems

    Science.gov (United States)

    Sventek, Joe

    1998-12-01

    Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA Introduction The USENIX Conference on Object-Oriented Technologies and Systems (COOTS) is held annually in the late spring. The conference evolved from a set of C++ workshops that were held under the auspices of USENIX, the first of which met in 1989. Given the growing diverse interest in object-oriented technologies, the C++ focus of the workshop eventually became too narrow, with the result that the scope was widened in 1995 to include object-oriented technologies and systems. COOTS is intended to showcase advanced R&D efforts in object-oriented technologies and software systems. The conference emphasizes experimental research and experience gained by using object-oriented techniques and languages to build complex software systems that meet real-world needs. COOTS solicits papers in the following general areas: application of, and experiences with, object-oriented technologies in particular domains (e.g. financial, medical, telecommunication); the architecture and implementation of distributed object systems (e.g. CORBA, DCOM, RMI); object-oriented programming and specification languages; object-oriented design and analysis. The 4th meeting of COOTS was held 27 - 30 April 1998 at the El Dorado Hotel, Santa Fe, New Mexico, USA. Several tutorials were given. The technical program proper consisted of a single track of six sessions, with three paper presentations per session. A keynote address and a provocative panel session rounded out the technical program. The program committee reviewed 56 papers, selecting the best 18 for presentation in the technical sessions. While we solicit papers across the spectrum of applications of object-oriented technologies, this year there was a predominance of distributed, object-oriented papers. The accepted papers reflected this asymmetry, with 15 papers on distributed objects and 3 papers on object-oriented languages. The papers in this special issue are

  9. Introduction of Open E-Learning System as a Factor of Regional Development

    Directory of Open Access Journals (Sweden)

    Tatiana Yuryevna Bystrova

    2015-12-01

    Full Text Available The article analyses the economic and socio-cultural premises for introducing the open e-learning in the Ural region, as well as the potential economic effect of this type of educational activity. The article strives to prove a regular pattern of the universities’ transition to e-learning, also in connection with the changes of the educational paradigm and the nature of the educational system management. The hypothesis of the paper is connected with bringing the economic dimension to a humanitarian concept of e-learning, which becomes more and more widespread. The methodology of the article is based on the recognition of the fact that the macroeconomic processes in the information society and the processes occurring in a particular industry — higher education — are of isomorphic nature. On the basis of the analysis of global experience and basic theoretical approaches to e-learning, including the Lifelong Learning concept, the authors make a conclusion of the progressive growth of interest in different countries and regions. The e-learning is treated primarily as a tool to improve quality and efficiency of the educational process. The accuracy of understanding functions and peculiarities of e-learning allows one to determine a positive economic effect of its application for the university, the region, and the employers. The article shows organisational mechanisms and financial model of implementing e-learning in the Ural Federal University. The description is made of the cost options for open-type e-learning course development, investment parameters for their establishment, as well as costs of implementing educational programmes with the application of e-learning. The analysis of the activities of Ural Federal University on implementing e-learning gives the opportunity to further imagine the effect from the introduction of e-learning in other universities in the region. The results of the research may be applied in the institutions of

  10. Evaluation of a digital learning object (DLO) to support the learning process in radiographic dental diagnosis.

    Science.gov (United States)

    Busanello, F H; da Silveira, P F; Liedke, G S; Arús, N A; Vizzotto, M B; Silveira, H E D; Silveira, H L D

    2015-11-01

    Studies have shown that inappropriate therapeutic strategies may be adopted if crown and root changes are misdiagnosed, potentially leading to undesirable consequences. Therefore, the aim of this study was to evaluate a digital learning object, developed to improve skills in diagnosing radiographic dental changes. The object was developed using the Visual Basic Application (VBA) software and evaluated by 62 undergraduate students (male: 24 and female: 38) taking an imaging diagnosis course. Participants were divided in two groups: test group, which used the object and control group, which attended conventional classes. After 3 weeks, students answered a 10-question test and took a practice test to diagnose 20 changes in periapical radiographs. The results show that test group performed better that control group in both tests, with statistically significant difference (P = 0.004 and 0.003, respectively). In overall, female students were better than male students. Specific aspects of object usability were assessed using a structured questionnaire based on the System Usability Scale (SUS), with a score of 90.5 and 81.6 by male and female students, respectively. The results obtained in this study suggest that students who used the DLO performed better than those who used conventional methods. This suggests that the DLO may be a useful teaching tool for dentistry undergraduates, on distance learning courses and as a complementary tool in face-to-face teaching. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  11. The Initial Development of Object Knowledge by a Learning Robot.

    Science.gov (United States)

    Modayil, Joseph; Kuipers, Benjamin

    2008-11-30

    We describe how a robot can develop knowledge of the objects in its environment directly from unsupervised sensorimotor experience. The object knowledge consists of multiple integrated representations: trackers that form spatio-temporal clusters of sensory experience, percepts that represent properties for the tracked objects, classes that support efficient generalization from past experience, and actions that reliably change object percepts. We evaluate how well this intrinsically acquired object knowledge can be used to solve externally specified tasks including object recognition and achieving goals that require both planning and continuous control.

  12. Special issue on multi-objective reinforcement learning

    NARCIS (Netherlands)

    Drugan, Madalina; Wiering, Marco; Vamplew, Peter; Chetty, Madhu

    2017-01-01

    Many real-life problems involve dealing with multiple objectives. For example, in network routing the criteria may consist of energy consumption, latency, and channel capacity, which are in essence conflicting objectives. As in many problems there may be multiple (conflicting) objectives, there

  13. Occlusion detection via structured sparse learning for robust object tracking

    KAUST Repository

    Zhang, Tianzhu; Ghanem, Bernard; Xu, Changsheng; Ahuja, Narendra

    2014-01-01

    occlusion through structured sparse learning. We test our tracker on challenging benchmark sequences, such as sports videos, which involve heavy occlusion, drastic illumination changes, and large pose variations. Extensive experimental results show that our

  14. Object tracking by occlusion detection via structured sparse learning

    KAUST Repository

    Zhang, Tianzhu; Ghanem, Bernard; Xu, Changsheng; Ahuja, Narendra

    2013-01-01

    occlusion through structured sparse learning. We test our tracker on challenging benchmark sequences, such as sports videos, which involve heavy occlusion, drastic illumination changes, and large pose variations. Experimental results show that our tracker

  15. PARTICULARITIES OF EDUCATIONAL OBJECTS IN COMPUTER-ASSISTED LEARNING FOR PERSONS WITH DISABILITIES

    Directory of Open Access Journals (Sweden)

    Narcisa ISĂILĂ

    2010-12-01

    Full Text Available The current trend in computer-assisted learning is the creation of reusable learning objects. They can be used independently or can be coupled to make lessons that best fit the users' learning needs. From this perspective, the specific of learning objects for people with disabilities is to ensure accessibility and usability. Using standards in the process of creating learning objects provide flexibility in achieving lessons, thus being helpful for educational content creators (teachers. Metadata have an essential role in achieving interoperability and provide standardized information about the learning objects, allowing the searching, accessing and their finding. The compliance of eLearning standards ensures the compatibility and portability of materials from one system to another, which reduces the time and cost of development.

  16. Object Oriented Learning Objects in Online Education: A Framework and Example.

    Science.gov (United States)

    Rincon, Lilian; Parker, Drew

    Online learning is coming of age in both postsecondary education and industry. The courses now offered online range from kinesiology to mathematics to complete M.B.A. programs. The growing popularity of online education has created a need to reduce costs without diminishing the value of the edification. In response to this need, an instructional…

  17. Digital learning object for diagnostic reasoning in nursing applied to the integumentary system

    Directory of Open Access Journals (Sweden)

    Cecília Passos Vaz da Costa

    Full Text Available Objective: To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. Method: A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. Results: The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. Conclusion: This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

  18. Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System

    Directory of Open Access Journals (Sweden)

    Ronaldo Lima Rocha Campos

    2012-07-01

    Full Text Available This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.

  19. Assessing Online Learning Objects: Student Evaluation of a Guide on the Side Interactive Learning Tutorial Designed by SRJC Libraries

    Science.gov (United States)

    Virtue, Alicia; Dean, Ellen; Matheson, Molly

    2014-01-01

    More and more of today's scholars conduct their research in a digital realm rather than using a print collection. The University of Arizona Libraries Guide on the Side tutorial software offers an opportunity to apply the principles of active learning with real world research scenarios. This paper reports on the design and introduction of…

  20. Learning object-to-class kernels for scene classification.

    Science.gov (United States)

    Zhang, Lei; Zhen, Xiantong; Shao, Ling

    2014-08-01

    High-level image representations have drawn increasing attention in visual recognition, e.g., scene classification, since the invention of the object bank. The object bank represents an image as a response map of a large number of pretrained object detectors and has achieved superior performance for visual recognition. In this paper, based on the object bank representation, we propose the object-to-class (O2C) distances to model scene images. In particular, four variants of O2C distances are presented, and with the O2C distances, we can represent the images using the object bank by lower-dimensional but more discriminative spaces, called distance spaces, which are spanned by the O2C distances. Due to the explicit computation of O2C distances based on the object bank, the obtained representations can possess more semantic meanings. To combine the discriminant ability of the O2C distances to all scene classes, we further propose to kernalize the distance representation for the final classification. We have conducted extensive experiments on four benchmark data sets, UIUC-Sports, Scene-15, MIT Indoor, and Caltech-101, which demonstrate that the proposed approaches can significantly improve the original object bank approach and achieve the state-of-the-art performance.

  1. Refitting existing simulations to meet with new learning objectives

    DEFF Research Database (Denmark)

    Lainema, Timo; Henriksen, Thomas Duus; Saarinen, Eeli

    2012-01-01

    This paper discusses the application possibilities of business simulation games in teaching. By application possibilities we mean the different ways of arranging the learning sessions using the one and same simulation game. Thus, we are not discussing what kind of games should be built for certain...

  2. A critique of Stephen Downes' article, "Learning Objects" -- A perspective from Bahrain

    Directory of Open Access Journals (Sweden)

    Muain H. Jamlan

    2001-07-01

    Full Text Available With the availability of technology, hardware, and software, learning objects become fundamental to the learning process and change the way in which learning materials are designed. The vast development of technology forces both teacher and learner to modify their roles. Teachers become facilitators, while learners became active and responsible for selecting modes and styles of learning. Assuming this attitude of implementing technology in the learning process and seeking new methods of facilitating learning, universities and colleges have to adopt new techniques. One of these new techniques is the use of learning objects. Although learning objects are considered products of technology developed in the USA, Japan, and European countries, universities in the Middle East have been influenced by this development. While there are differences in the quantity and quality of these technologies available in many Middle East countries, computer applications, especially those that deploy the Internet, have now become available. Educational authorities in Middle East countries are now turning to the availability of learning objects. Let me clarify some of the issues Downes discusses in his article on learning objects, Vol. 2, No. 1 of the International Review of Research in Open and Distance Learning.

  3. Memory for Object Locations: Priority Effect and Sex Differences in Associative Spatial Learning

    Science.gov (United States)

    Cinan, Sevtap; Atalay, Deniz; Sisman, Simge; Basbug, Gokce; Dervent-Ozbek, Sevinc; Teoman, Dalga D.; Karagoz, Ayca; Karadeniz, A. Yezdan; Beykurt, Sinem; Suleyman, Hediye; Memis, H. Ozge; Yurtsever, Ozgur D.

    2007-01-01

    This paper reports two experiments conducted to examine priority effects and sex differences in object location memory. A new task of paired position-learning was designed, based on the A-B A-C paradigm, which was used in paired word learning. There were three different paired position-learning conditions: (1) positions of several different…

  4. The role of professional objects in technology-enhanced learning environments in higher education

    NARCIS (Netherlands)

    Zitter, I.I.; Bruijn, E. de; Simons, P.R.J.; Cate, Th.J. ten

    2010-01-01

    We study project-based, technology-enhanced learning environments in higher education, which should produce, by means of specific mechanisms, learning outcomes in terms of transferable knowledge and learning-, thinking-, collaboration- and regulation-skills. Our focus is on the role of objects from

  5. Analyzing the Quality of Students Interaction in a Distance Learning Object-Oriented Programming Discipline

    Science.gov (United States)

    Carvalho, Elizabeth Simão

    2015-01-01

    Teaching object-oriented programming to students in an in-classroom environment demands well-thought didactic and pedagogical strategies in order to guarantee a good level of apprenticeship. To teach it on a completely distance learning environment (e-learning) imposes possibly other strategies, besides those that the e-learning model of Open…

  6. Holistic Approach to Learning and Teaching Introductory Object-Oriented Programming

    Science.gov (United States)

    Thota, Neena; Whitfield, Richard

    2010-01-01

    This article describes a holistic approach to designing an introductory, object-oriented programming course. The design is grounded in constructivism and pedagogy of phenomenography. We use constructive alignment as the framework to align assessments, learning, and teaching with planned learning outcomes. We plan learning and teaching activities,…

  7. Creating an interactive Web-based e-learning course: a practical introduction for radiologists.

    Science.gov (United States)

    Hoa, Denis; Micheau, Antoine; Gahide, Gerald

    2006-01-01

    With the development of e-learning and its ability to provide rich animated content rapidly to a wide audience, new methods for teaching medical imaging have evolved. E-learning tools allow building of learner-focused structured courses. Standards such as shareable content object reference model (SCORM) or Aviation Industry Computer-based Training Committee (AICC) guidelines and recommendations provide the framework required to combine text, images, videos, animations, and quizzes for learning assessment, even if each of these elements is created with different software. The main features to consider when choosing a learning management system are content management, assessment and reporting tools, customization options, course delivery, administration, and security. The tools for building a Web-based course with pages containing text, images, videos, and Flash animations are now accessible to any radiologist. Open-source learning management systems and content authoring software are available at no cost. The authors developed e-MRI.com, a free Web-based e-learning course with interactive animations and simulations, self-tests, and clinical cases to demonstrate the potential of the latest advances in e-learning and pedagogy applied to magnetic resonance imaging physics.

  8. ATTITUDES OF STUDENTS TOWARDS LEARNING OBJECTS IN WEB-BASED LANGUAGE LEARNING

    Directory of Open Access Journals (Sweden)

    Ahmet BASAL

    2012-01-01

    Full Text Available Language education is important in the rapidly changing world. Every year much effort has spent on preparing teaching materials for language education. Since positive attitudes of learners towards a teaching material enhance the effectiveness of that material, it is important to determine the attitudes of learners towards the material used. Learning objects (LOs are a new type of material on which many studies have been conducted in recent years. The aim of this study is to determine the attitudes of students towards LOs in web-based language learning. To this end, the study was conducted in English I Course at the Department of Computer Programming in Kırıkkale University in 2010-2011 Fall Semester. Seventy LOs appropriate for six-week long lecture program were integrated into the Learning Management System (LMS of Kırıkkale University. The study group consisted of 38 students. After the six weeks long implementation period of the study, an attitude scale was administered to the students. The findings indicated that students in web based language education have positive attitudes towards LOs.

  9. Evaluation of a Learning Object Based Learning Environment in Different Dimensions

    Directory of Open Access Journals (Sweden)

    Ünal Çakıroğlu

    2009-11-01

    Full Text Available Learning Objects (LOs are web based learning resources presented by Learning Object Repositories (LOR. For recent years LOs have begun to take place on web and it is suggested that appropriate design of LOs can make positive impact on learning. In order to support learning, research studies recommends LOs should have been evaluated pedagogically and technologically, and the content design created by using LOs should have been designed through appropriate instructional models. Since the use of LOs have recently begun, an exact pedagogical model about efficient use of LOs has not been developed. In this study a LOR is designed in order to be used in mathematics education. The LOs in this LOR have been evaluated pedagogically and technologically by mathematics teachers and field experts. In order to evaluate the designed LO based environment, two different questionnaires have been used. These questionnaires are developed by using the related literature about web based learning environments evaluation criteria and also the items are discussed with the field experts for providing the validity. The reliability of the questionnaires is calculated cronbach alpha = 0.715 for the design properties evaluation survey and cronbach alpha =0.726 for pedagogic evaluation. Both of two questionnaires are five point Likert type. The first questionnaire has the items about “Learning Support of LOs, Competency of LOR, The importance of LOs in mathematics education, the usability of LOs by students”. “The activities on LOs are related to outcomes of subjects, there are activities for students have different learning styles. There are activities for wondering students.” are examples for items about learning support of LOs. “System helps for exploration of mathematical relations”, “I think teaching mathematics with this system will be enjoyable.” are example items for importance of LOs in mathematics education. In the competency of LOR title,

  10. INST7150 - Advanced Topics in Learning Object Design and Reuse, Fall 2005

    OpenAIRE

    Wiley, David

    2005-01-01

    This course is designed to help you understand and apply advanced topics in the design, creation, and reuse of learning objects. The course is structured around a practical, hands-on project using learning objects, intermingled with readings and discussion on a variety of topics.

  11. Cortical Dynamics of Contextually Cued Attentive Visual Learning and Search: Spatial and Object Evidence Accumulation

    Science.gov (United States)

    Huang, Tsung-Ren; Grossberg, Stephen

    2010-01-01

    How do humans use target-predictive contextual information to facilitate visual search? How are consistently paired scenic objects and positions learned and used to more efficiently guide search in familiar scenes? For example, humans can learn that a certain combination of objects may define a context for a kitchen and trigger a more efficient…

  12. The Sloan-C Pillars and Boundary Objects As a Framework for Evaluating Blended Learning

    Science.gov (United States)

    Laumakis, Mark; Graham, Charles; Dziuban, Chuck

    2009-01-01

    The authors contend that blended learning represents a boundary object; a construct that brings together constituencies from a variety of backgrounds with each of these cohorts defining the object somewhat differently. The Sloan-C Pillars (learning effectiveness, access, cost effectiveness, student satisfaction, and faculty satisfaction) provide…

  13. APA's Learning Objectives for Research Methods and Statistics in Practice: A Multimethod Analysis

    Science.gov (United States)

    Tomcho, Thomas J.; Rice, Diana; Foels, Rob; Folmsbee, Leah; Vladescu, Jason; Lissman, Rachel; Matulewicz, Ryan; Bopp, Kara

    2009-01-01

    Research methods and statistics courses constitute a core undergraduate psychology requirement. We analyzed course syllabi and faculty self-reported coverage of both research methods and statistics course learning objectives to assess the concordance with APA's learning objectives (American Psychological Association, 2007). We obtained a sample of…

  14. An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

    Science.gov (United States)

    Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo

    2013-01-01

    In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…

  15. Teaching and Assessing Ethics as a Learning Objective: One School's Journey

    Science.gov (United States)

    Templin, Carl R.; Christensen, David

    2009-01-01

    This paper reports the results of a ten-year effort to establish ethics as a learning objective for all business students, to assess the effectiveness in achieving that learning objective and to incorporate ethical conduct as a part of the school's organizational culture. First, it addresses the importance of ethics instruction for all business…

  16. [Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

    Science.gov (United States)

    da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

    2015-12-01

    To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

  17. Definition of a Learning Object from Perspectives of In-Service Teachers (Case of Duzce Province

    Directory of Open Access Journals (Sweden)

    Kürşat ARSLAN

    2016-08-01

    Full Text Available Learning objects, as a relatively new technological concept, have drawn much attention from educators because these dijital resources are easily accessible, relatively easy to use due to their limited size and focus, interactive, and adaptable to many different educational contexts. Despite the fact that learning objects have the great potential to improve teaching and learning experiences by providing teachers reusable learning materials and reducing costs, the lack of a “working and clear” definition of these materials has restricted their effective and efficient use. This study aimed to explore elementary school teacher perceptions of their use of learning objects from a qualitative research paradigm in order to reveal the extent to which teachers understand concept of learning object and its instruction approach. The method of the study was based on descriptive phenomenology. Data were collected using multiple methods, including the semi-structured interview, field observation reports, and photos from nine in-service elementary school teachers from different departments in Duzce, Turkey. Methods of data analysis were based on Giorgi’s method of descriptive phenomenology including four stages of content analysis: data coding, developing themes, organizing code and themes, describing findings. Overall findings of the study indicate that teachers use learning objects in their lesson activities without explicit recognition; however they generally fail to understand the exact meaning of a learning object approach and its applications in the classroom. Participants understood different properties of learning objects. Almost all participants perceive objectivity as the most important characteristic of the learning object.  In addition, a majority of the teachers recognized the value of a learning object’s reusability. In-service teachers’ vague perceptions of the definition and usage of learning objects indicated that they used these

  18. Objectivity

    CERN Document Server

    Daston, Lorraine

    2010-01-01

    Objectivity has a history, and it is full of surprises. In Objectivity, Lorraine Daston and Peter Galison chart the emergence of objectivity in the mid-nineteenth-century sciences--and show how the concept differs from its alternatives, truth-to-nature and trained judgment. This is a story of lofty epistemic ideals fused with workaday practices in the making of scientific images. From the eighteenth through the early twenty-first centuries, the images that reveal the deepest commitments of the empirical sciences--from anatomy to crystallography--are those featured in scientific atlases, the compendia that teach practitioners what is worth looking at and how to look at it. Galison and Daston use atlas images to uncover a hidden history of scientific objectivity and its rivals. Whether an atlas maker idealizes an image to capture the essentials in the name of truth-to-nature or refuses to erase even the most incidental detail in the name of objectivity or highlights patterns in the name of trained judgment is a...

  19. Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA. Part 1: Introduction

    Directory of Open Access Journals (Sweden)

    Andrea Baraldi

    2012-09-01

    Full Text Available According to existing literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA systems and three-stage iterative geographic object-oriented image analysis (GEOOIA systems, where GEOOIA/GEOBIA, remain affected by a lack of productivity, general consensus and research. To outperform the degree of automation, accuracy, efficiency, robustness, scalability and timeliness of existing GEOBIA/GEOOIA systems in compliance with the Quality Assurance Framework for Earth Observation (QA4EO guidelines, this methodological work is split into two parts. The present first paper provides a multi-disciplinary Strengths, Weaknesses, Opportunities and Threats (SWOT analysis of the GEOBIA/GEOOIA approaches that augments similar analyses proposed in recent years. In line with constraints stemming from human vision, this SWOT analysis promotes a shift of learning paradigm in the pre-attentive vision first stage of a remote sensing (RS image understanding system (RS-IUS, from sub-symbolic statistical model-based (inductive image segmentation to symbolic physical model-based (deductive image preliminary classification. Hence, a symbolic deductive pre-attentive vision first stage accomplishes image sub-symbolic segmentation and image symbolic pre-classification simultaneously. In the second part of this work a novel hybrid (combined deductive and inductive RS-IUS architecture featuring a symbolic deductive pre-attentive vision first stage is proposed and discussed in terms of: (a computational theory (system design; (b information/knowledge representation; (c algorithm design; and (d implementation. As proof-of-concept of symbolic physical model-based pre-attentive vision first stage, the spectral knowledge-based, operational, near real-time Satellite Image Automatic Mapper™ (SIAM™ is selected from existing literature. To the best of these authors’ knowledge, this is the first time a

  20. The company objects keep: Linking referents together during cross-situational word learning.

    Science.gov (United States)

    Zettersten, Martin; Wojcik, Erica; Benitez, Viridiana L; Saffran, Jenny

    2018-04-01

    Learning the meanings of words involves not only linking individual words to referents but also building a network of connections among entities in the world, concepts, and words. Previous studies reveal that infants and adults track the statistical co-occurrence of labels and objects across multiple ambiguous training instances to learn words. However, it is less clear whether, given distributional or attentional cues, learners also encode associations amongst the novel objects. We investigated the consequences of two types of cues that highlighted object-object links in a cross-situational word learning task: distributional structure - how frequently the referents of novel words occurred together - and visual context - whether the referents were seen on matching backgrounds. Across three experiments, we found that in addition to learning novel words, adults formed connections between frequently co-occurring objects. These findings indicate that learners exploit statistical regularities to form multiple types of associations during word learning.

  1. Applying CIPP Model for Learning-Object Management

    Science.gov (United States)

    Morgado, Erla M. Morales; Peñalvo, Francisco J. García; Martín, Carlos Muñoz; Gonzalez, Miguel Ángel Conde

    Although knowledge management process needs to receive some evaluation in order to determine their suitable functionality. There is not a clear definition about the stages where LOs need to be evaluated and the specific metrics to continuously promote their quality. This paper presents a proposal for LOs evaluation during their management for e-learning systems. To achieve this, we suggest specific steps for LOs design, implementation and evaluation into the four stages proposed by CIPP model (Context, Input, Process, Product).

  2. e-Learning objects in the cloud: SCORM compliance, creation and deployment options

    Directory of Open Access Journals (Sweden)

    Stephanie Day

    2017-12-01

    Full Text Available In the field of education, cloud computing is changing the way learning is delivered and experienced, by providing software, storage, teaching resources, artefacts, and knowledge that can be shared by educators on a global scale. In this paper, the first objective is to understand the general trends in educational use of the cloud, particularly the provision of large scale education opportunities, use of open and free services, and interoperability of learning objects. A review of current literature reveals the opportunities and issues around managing learning and teaching related knowledge in the cloud. The educational use of the cloud will continue to grow as the services, pedagogies, personalization, and standardization of learning are refined and adopted. Secondly, the paper presents an example of how the cloud can support learning opportunities using SCORM interoperable learning objects. The case study findings show that, while the use of SCORM enables a variety of trackable learning opportunities, the constraints of maintaining the currency of the learning also need to be considered. It is recommended that the SCORM content are combined with cloud based student activities. These learning objects can be used to support alternative learning opportunities within blended and online learning environments.

  3. Exploring emerging learning needs: a UK-wide consultation on environmental sustainability learning objectives for medical education.

    Science.gov (United States)

    Walpole, Sarah C; Mortimer, Frances; Inman, Alice; Braithwaite, Isobel; Thompson, Trevor

    2015-12-24

    This study aimed to engage wide-ranging stakeholders and develop consensus learning objectives for undergraduate and postgraduate medical education. A UK-wide consultation garnered opinions of healthcare students, healthcare educators and other key stakeholders about environmental sustainability in medical education. The policy Delphi approach informed this study. Draft learning objectives were revised iteratively during three rounds of consultation: online questionnaire or telephone interview, face-to-face seminar and email consultation. Twelve draft learning objectives were developed based on review of relevant literature. In round one, 64 participants' median ratings of the learning objectives were 3.5 for relevance and 3.0 for feasibility on a Likert scale of one to four. Revisions were proposed, e.g. to highlight relevance to public health and professionalism. Thirty three participants attended round two. Conflicting opinions were explored. Added content areas included health benefits of sustainable behaviours. To enhance usability, restructuring provided three overarching learning objectives, each with subsidiary points. All participants from rounds one and two were contacted in round three, and no further edits were required. This is the first attempt to define consensus learning objectives for medical students about environmental sustainability. Allowing a wide range of stakeholders to comment on multiple iterations of the document stimulated their engagement with the issues raised and ownership of the resulting learning objectives.

  4. Interactive Preference Learning of Utility Functions for Multi-Objective Optimization

    OpenAIRE

    Dewancker, Ian; McCourt, Michael; Ainsworth, Samuel

    2016-01-01

    Real-world engineering systems are typically compared and contrasted using multiple metrics. For practical machine learning systems, performance tuning is often more nuanced than minimizing a single expected loss objective, and it may be more realistically discussed as a multi-objective optimization problem. We propose a novel generative model for scalar-valued utility functions to capture human preferences in a multi-objective optimization setting. We also outline an interactive active learn...

  5. Lessons Learned from Teaching Scratch as an Introduction to Object-Oriented Programming in Delphi

    Science.gov (United States)

    van Zyl, Sukie; Mentz, Elsa; Havenga, Marietjie

    2016-01-01

    As part of curriculum changes in South Africa, an introductory programming language, Scratch, must first be taught before switching to the well-established teaching of Delphi. The nature of programming in Scratch is considerably different from that in Delphi. It was assumed that the teaching of Scratch as introductory programming language could…

  6. Digital learning objects in nursing consultation: technology assessment by undergraduate students.

    Science.gov (United States)

    Silveira, DeniseTolfo; Catalan, Vanessa Menezes; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado

    2010-01-01

    This study followed the teaching-learning process about the nursing consultation, based on digital learning objects developed through the active Problem Based Learning method. The goals were to evaluate the digital learning objects about nursing consultation, develop cognitive skills on the subject using problem based learning and identify the students' opinions on the use of technology. This is an exploratory and descriptive study with a quantitative approach. The sample consisted of 71 students in the sixth period of the nursing program at the Federal University of Rio Grande do Sul. The data was collected through a questionnaire to evaluate the learning objects. The results showed positive agreement (58%) on the content, usability and didactics of the proposed computer-mediated activity regarding the nursing consultation. The application of materials to the students is considered positive.

  7. AN ANALYSIS ON USAGE PREFERENCES OF LEARNING OBJECTS AND LEARNING OBJECT REPOSITORIES AMONG PRE-SERVICE TEACHERS

    Directory of Open Access Journals (Sweden)

    Amirul ISLAM

    2014-04-01

    Full Text Available This study draws on the experience of a cohort of 22 students from 09 tutorial centers enrolled in a Master of Education (M Ed distance learning program administered by the Bangladesh Open University (BOU. It's purpose is to locate the aims and philosophies of distance learning within the experiences of actual distance learners in order to see if learners' needs were being met by the program and to obtain a fuller understanding of core aspects of distance education. The study found that students were, on the whole, satisfied with the course materials, the choice of modules, assignment feedback, and length of time given to complete the assignments, but significant problems surfaced regarding issues of student support, and access to and provision of resource materials. Arguably, these are issues intrinsic to the successful provision of distance learning courses, and the results both concord with aspects of the research literature (Burge & Howard, 1990; Chen, 1997; Hyland, 2001; Morgan, 1995; Robinson, 1995; Simpson, 2000; Tait, 2000 and raise some interesting questions regarding the provision of distance education and its ability to meet the needs of learners

  8. Enhanced learning by introduction of cooperative learning and new examination forms

    DEFF Research Database (Denmark)

    Schmidt, Jens Ejbye

    is regular self assessment of the group work. I.e, student activating teaching method was implemented. After two weeks of work with each case the group submits the first draft of their report. This report is evaluated by another group, which writes a report of 2 pages with their comments. Based...... that they are responsible for they own learning and they have great influence of their own output of the course. Each student gets after each case a grade based on the evaluation report the group had made, their final report and the assessment the other group members and themselves have made after the case. This gives...... is much more motivated to be active during the semester and the students experience a better relation between the evaluation form and work they are doing during the semester. In addition, the students are much more frequently present in the class room during the semester and use addition time to find...

  9. Assessment of learning, memory and attention in developmental neurotoxicity regulatory studies: Introduction.

    Science.gov (United States)

    Makris, Susan L; Vorhees, Charles V

    2015-01-01

    research on the underlying processes they measure. This Introduction sets the stage for the reviews by providing the background and regulatory context for improved tests for learning and memory in DNT and other regulatory studies, such as single- or multi-generational studies where similar methods are incorporated. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Incremental online object learning in a vehicular radar-vision fusion framework

    Energy Technology Data Exchange (ETDEWEB)

    Ji, Zhengping [Los Alamos National Laboratory; Weng, Juyang [Los Alamos National Laboratory; Luciw, Matthew [IEEE; Zeng, Shuqing [IEEE

    2010-10-19

    In this paper, we propose an object learning system that incorporates sensory information from an automotive radar system and a video camera. The radar system provides a coarse attention for the focus of visual analysis on relatively small areas within the image plane. The attended visual areas are coded and learned by a 3-layer neural network utilizing what is called in-place learning, where every neuron is responsible for the learning of its own signal processing characteristics within its connected network environment, through inhibitory and excitatory connections with other neurons. The modeled bottom-up, lateral, and top-down connections in the network enable sensory sparse coding, unsupervised learning and supervised learning to occur concurrently. The presented work is applied to learn two types of encountered objects in multiple outdoor driving settings. Cross validation results show the overall recognition accuracy above 95% for the radar-attended window images. In comparison with the uncoded representation and purely unsupervised learning (without top-down connection), the proposed network improves the recognition rate by 15.93% and 6.35% respectively. The proposed system is also compared with other learning algorithms favorably. The result indicates that our learning system is the only one to fit all the challenging criteria for the development of an incremental and online object learning system.

  11. THE CONSTRUCT, INTRODUCTION AND SITUATE OF RUDIMENTARY NUMBER SKILLS FOR CHILDREN IN NUMERACY LEARNING OUTCOMES

    OpenAIRE

    Adeleke, A. G.; Jegede, P. O.; Ajayi, H. O.

    2017-01-01

    The competence and positive disposition development toward mathematic subject has been observed an uphill task to learners across educational endeavors despite its need in life at home, paid work, participation in community and civic life. The Nigerian Education Policy (2013) made numeracy an important aspect of the specific objectives of primary education in Nigeria. However, the teaching-learning processes lithely attend to specification(s) of utilities. In Nigeria, most schools lack instru...

  12. Introduction of blended learning in a master program: Developing an integrative mixed method evaluation framework.

    Science.gov (United States)

    Chmiel, Aviva S; Shaha, Maya; Schneider, Daniel K

    2017-01-01

    The aim of this research is to develop a comprehensive evaluation framework involving all actors in a higher education blended learning (BL) program. BL evaluation usually either focuses on students, faculty, technological or institutional aspects. Currently, no validated comprehensive monitoring tool exists that can support introduction and further implementation of BL in a higher education context. Starting from established evaluation principles and standards, concepts that were to be evaluated were firstly identified and grouped. In a second step, related BL evaluation tools referring to students, faculty and institutional level were selected. This allowed setting up and implementing an evaluation framework to monitor the introduction of BL during two succeeding recurrences of the program. The results of the evaluation allowed documenting strengths and weaknesses of the BL format in a comprehensive way, involving all actors. It has led to improvements at program, faculty and course level. The evaluation process and the reporting of the results proved to be demanding in time and personal resources. The evaluation framework allows measuring the most significant dimensions influencing the success of a BL implementation at program level. However, this comprehensive evaluation is resource intensive. Further steps will be to refine the framework towards a sustainable and transferable BL monitoring tool that finds a balance between comprehensiveness and efficiency. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.

    Science.gov (United States)

    Chen, Chi-Hsin; Gershkoff-Stowe, Lisa; Wu, Chih-Yi; Cheung, Hintat; Yu, Chen

    2017-08-01

    Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership than English, were able to learn words and form object categories when trained with the same type of structures. The results indicate that both groups of learners successfully extracted multiple levels of co-occurrence and used them to learn words and object categories simultaneously. However, marked individual differences in performance were also found, suggesting possible interference and competition in processing the two concurrent streams of regularities. Copyright © 2016 Cognitive Science Society, Inc.

  14. EDUCACIONAL GAME OF LEARNING AS DIDATIC SUPPORT IN INTRODUCTION TO BIOCHEMISTRY DISCIPLINE

    Directory of Open Access Journals (Sweden)

    M. S. Vasconcelos

    2012-05-01

    Full Text Available The cellular respiration process is a crucial subject in biochemistry learning. The use of ludic tools appears to be a good strategy in education intensifying the teach and learning process. The aim of this work was to create and introduce a game as educational tool helping the students to construct the knowledge.  This work was accomplished in UFC involving three groups of 5 students of Introduction to Biochemistry discipline from Food Engineering course.  It was developed a board game  entitled:  The dynamics OXI-REDOXI in Respiratory Chain. The game consisted in a board with the scheme of the respiratory chain, chips to complete the gaps and 12 question cards. The students had previous classes about the subject and a survey right before  playing the game. The monitor explained the rules and the wrong answers of the students to question cards. During the game it was observed mistakes in the answers of the students to  question cards  and either  regarding placing the chips representing the reactions of the respiratory chain. The monitor stimulated the discussion among them and elucidated the doubts. The students demonstrated motivation and interest during the game.  The majority of the students found it easy to play and confirmed that it facilitate the learning process.  The application of the same survey after the game showed that they understood the  respiratory chain and the grades were at least 50% higher after the game.  This game reveals itself a dynamic and constructive tool for the learning  process in biochemistry.

  15. Effect of tDCS on task relevant and irrelevant perceptual learning of complex objects.

    Science.gov (United States)

    Van Meel, Chayenne; Daniels, Nicky; de Beeck, Hans Op; Baeck, Annelies

    2016-01-01

    During perceptual learning the visual representations in the brain are altered, but these changes' causal role has not yet been fully characterized. We used transcranial direct current stimulation (tDCS) to investigate the role of higher visual regions in lateral occipital cortex (LO) in perceptual learning with complex objects. We also investigated whether object learning is dependent on the relevance of the objects for the learning task. Participants were trained in two tasks: object recognition using a backward masking paradigm and an orientation judgment task. During both tasks, an object with a red line on top of it were presented in each trial. The crucial difference between both tasks was the relevance of the object: the object was relevant for the object recognition task, but not for the orientation judgment task. During training, half of the participants received anodal tDCS stimulation targeted at the lateral occipital cortex (LO). Afterwards, participants were tested on how well they recognized the trained objects, the irrelevant objects presented during the orientation judgment task and a set of completely new objects. Participants stimulated with tDCS during training showed larger improvements of performance compared to participants in the sham condition. No learning effect was found for the objects presented during the orientation judgment task. To conclude, this study suggests a causal role of LO in relevant object learning, but given the rather low spatial resolution of tDCS, more research on the specificity of this effect is needed. Further, mere exposure is not sufficient to train object recognition in our paradigm.

  16. Object oriented programming

    International Nuclear Information System (INIS)

    Kunz, P.F.

    1990-01-01

    This paper is an introduction to object oriented programming techniques. It tries to explain the concepts by using analogies with traditional programming. The object oriented approach not inherently difficult, but most programmers find a relatively high threshold in learning it. Thus, this paper will attempt to convey the concepts with examples rather than explain the formal theory

  17. Design Guide for Earth System Science Education: Common Student Learning Objectives and Special Pedagogical Approaches

    Science.gov (United States)

    Baker, D.

    2006-12-01

    As part of the NASA-supported undergraduate Earth System Science Education (ESSE) program, fifty-seven institutions have developed and implemented a wide range of Earth system science (ESS) courses, pedagogies, and evaluation tools. The Teaching, Learning, and Evaluation section of USRA's online ESSE Design Guide showcases these ESS learning environments. This Design Guide section also provides resources for faculty who wish to develop ESS courses. It addresses important course design issues including prior student knowledge and interests, student learning objectives, learning resources, pedagogical approaches, and assessments tied to student learning objectives. The ESSE Design Guide provides links to over 130 ESS course syllabi at introductory, senior, and graduate levels. ESS courses over the past 15 years exhibit common student learning objectives and unique pedagogical approaches. From analysis of ESS course syllabi, seven common student learning objectives emerged: 1) demonstrate systems thinking, 2) develop an ESS knowledge base, 3) apply ESS to the human dimension, 4) expand and apply analytical skills, 5) improve critical thinking skills, 6) build professional/career skills, and 7) acquire an enjoyment and appreciation for science. To meet these objectives, ESSE often requires different ways of teaching than in traditional scientific disciplines. This presentation will highlight some especially successful pedagogical approaches for creating positive and engaging ESS learning environments.

  18. Occlusion detection via structured sparse learning for robust object tracking

    KAUST Repository

    Zhang, Tianzhu

    2014-01-01

    Sparse representation based methods have recently drawn much attention in visual tracking due to good performance against illumination variation and occlusion. They assume the errors caused by image variations can be modeled as pixel-wise sparse. However, in many practical scenarios, these errors are not truly pixel-wise sparse but rather sparsely distributed in a structured way. In fact, pixels in error constitute contiguous regions within the object’s track. This is the case when significant occlusion occurs. To accommodate for nonsparse occlusion in a given frame, we assume that occlusion detected in previous frames can be propagated to the current one. This propagated information determines which pixels will contribute to the sparse representation of the current track. In other words, pixels that were detected as part of an occlusion in the previous frame will be removed from the target representation process. As such, this paper proposes a novel tracking algorithm that models and detects occlusion through structured sparse learning. We test our tracker on challenging benchmark sequences, such as sports videos, which involve heavy occlusion, drastic illumination changes, and large pose variations. Extensive experimental results show that our proposed tracker consistently outperforms the state-of-the-art trackers.

  19. Different Modes of Digital Learning Object Use in School Settings: Do We Design for Individual or Collaborative Learning?

    Science.gov (United States)

    Akpinar, Yavuz

    2014-01-01

    The aim of the studies reported in this paper is to gain classroom based empirical evidence on the learning effectiveness of learning objects used in two types of study settings: Collaborative and individual. A total of 127 seventh and ninth grade students participated in the experiments. They were assigned into one of the study modes and worked…

  20. Cluster: Drafting. Course: Introduction to Technical Drafting.

    Science.gov (United States)

    Sanford - Lee County Schools, NC.

    The set of 10 units is designed for use with an instructor as an introduction to technical drafting, and is also keyed to other texts. Each unit contains several task packages specifying prerequisites, rationale for learning, objectives, learning activities to be supervised by the instructor, and learning practice. The units cover: drafting…

  1. Early age-dependent impairments of context-dependent extinction learning, object recognition, and object-place learning occur in rats.

    Science.gov (United States)

    Wiescholleck, Valentina; Emma André, Marion Agnès; Manahan-Vaughan, Denise

    2014-03-01

    The hippocampus is vulnerable to age-dependent memory decline. Multiple forms of memory depend on adequate hippocampal function. Extinction learning comprises active inhibition of no longer relevant learned information concurrent with suppression of a previously learned reaction. It is highly dependent on context, and evidence exists that it requires hippocampal activation. In this study, we addressed whether context-based extinction as well as hippocampus-dependent tasks, such as object recognition and object-place recognition, are equally affected by moderate aging. Young (7-8 week old) and older (7-8 month old) Wistar rats were used. For the extinction study, animals learned that a particular floor context indicated that they should turn into one specific arm (e.g., left) to receive a food reward. On the day after reaching the learning criterion of 80% correct choices, the floor context was changed, no reward was given and animals were expected to extinguish the learned response. Both, young and older rats managed this first extinction trial in the new context with older rats showing a faster extinction performance. One day later, animals were returned to the T-maze with the original floor context and renewal effects were assessed. In this case, only young but not older rats showed the expected renewal effect (lower extinction ratio as compared to the day before). To assess general memory abilities, animals were tested in the standard object recognition and object-place memory tasks. Evaluations were made at 5 min, 1 h and 7 day intervals. Object recognition memory was poor at short-term and intermediate time-points in older but not young rats. Object-place memory performance was unaffected at 5 min, but impaired at 1 h in older but not young rats. Both groups were impaired at 7 days. These findings support that not only aspects of general memory, but also context-dependent extinction learning, are affected by moderate aging. This may reflect less flexibility in

  2. Object Recognition in Clutter: Cortical Responses Depend on the Type of Learning

    Directory of Open Access Journals (Sweden)

    Jay eHegdé

    2012-06-01

    Full Text Available Theoretical studies suggest that the visual system uses prior knowledge of visual objects to recognize them in visual clutter, and posit that the strategies for recognizing objects in clutter may differ depending on whether or not the object was learned in clutter to begin with. We tested this hypothesis using functional magnetic resonance imaging (fMRI of human subjects. We trained subjects to recognize naturalistic, yet novel objects in strong or weak clutter. We then tested subjects’ recognition performance for both sets of objects in strong clutter. We found many brain regions that were differentially responsive to objects during object recognition depending on whether they were learned in strong or weak clutter. In particular, the responses of the left fusiform gyrus reliably reflected, on a trial-to-trial basis, subjects’ object recognition performance for objects learned in the presence of strong clutter. These results indicate that the visual system does not use a single, general-purpose mechanism to cope with clutter. Instead, there are two distinct spatial patterns of activation whose responses are attributable not to the visual context in which the objects were seen, but to the context in which the objects were learned.

  3. Efficient Exact Inference With Loss Augmented Objective in Structured Learning.

    Science.gov (United States)

    Bauer, Alexander; Nakajima, Shinichi; Muller, Klaus-Robert

    2016-08-19

    Structural support vector machine (SVM) is an elegant approach for building complex and accurate models with structured outputs. However, its applicability relies on the availability of efficient inference algorithms--the state-of-the-art training algorithms repeatedly perform inference to compute a subgradient or to find the most violating configuration. In this paper, we propose an exact inference algorithm for maximizing nondecomposable objectives due to special type of a high-order potential having a decomposable internal structure. As an important application, our method covers the loss augmented inference, which enables the slack and margin scaling formulations of structural SVM with a variety of dissimilarity measures, e.g., Hamming loss, precision and recall, Fβ-loss, intersection over union, and many other functions that can be efficiently computed from the contingency table. We demonstrate the advantages of our approach in natural language parsing and sequence segmentation applications.

  4. Trends in e-learning and factors for successful and effective introduction of e-learning in adult education in Slovenia

    Directory of Open Access Journals (Sweden)

    Lea Bregar

    2011-12-01

    Full Text Available E-learning provides a number of advantages for adult education, which derive from its greater flexibility regarding time, space, pace, content and learning methods. Today e-learning manifests itself in a great variety of implementation program- mes, which are based on various teaching models, employ a wide range of technological tools, reflect different roles of educational institutions management and different institutional frameworks. The versatility and the dynamic and complex character of e-learning are the reasons that the basic characteristics of this development are hidden in the multitude of current manifestations, making recognition of key development trends a difficult task. The article deals with the developmental characteristics of e-learning, then analyses the state of adult e-learning in Slovenia, and finally presents the factors which – at the present e-learning level in Slovenia – appear to be decisive for a successful and effective introduction of e-learning in adult education.

  5. An introduction to learning technology in tertiary education in the UK.

    OpenAIRE

    Seale, Jane; Rius-Riu, Merce

    2001-01-01

    Contents: 1. The Learning Technology Arena 2. The Learning Technology Community 3. Learning Technology Tools 4. Key issues and developments in the Learning Technology Field 5. Implementing Learning Technologies 6. Further Resources

  6. Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics.

    Science.gov (United States)

    Chen, Chi-Hsin; Zhang, Yayun; Yu, Chen

    2018-05-01

    Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input. Copyright © 2017 Cognitive Science Society, Inc.

  7. Duo: A Human/Wearable Hybrid for Learning About Common Manipulate Objects

    National Research Council Canada - National Science Library

    Kemp, Charles C

    2002-01-01

    ... with them. Duo is a human/wearable hybrid that is designed to learn about this important domain of human intelligence by interacting with natural manipulable objects in unconstrained environments...

  8. Using Epistemic Network Analysis to understand core topics as planned learning objectives

    DEFF Research Database (Denmark)

    Allsopp, Benjamin Brink; Dreyøe, Jonas; Misfeldt, Morten

    Epistemic Network Analysis is a tool developed by the epistemic games group at the University of Wisconsin Madison for tracking the relations between concepts in students discourse (Shaffer 2017). In our current work we are applying this tool to learning objectives in teachers digital preparation....... The danish mathematics curriculum is organised in six competencies and three topics. In the recently implemented learning platforms teacher choose which of the mathematical competencies that serves as objective for a specific lesson or teaching sequence. Hence learning objectives for lessons and teaching...... sequences are defining a network of competencies, where two competencies are closely related of they often are part of the same learning objective or teaching sequence. We are currently using Epistemic Network Analysis to study these networks. In the poster we will include examples of different networks...

  9. Data quality objectives lessons learned for tank waste characterization

    International Nuclear Information System (INIS)

    Eberlein, S.J.; Banning, D.L.

    1996-01-01

    The tank waste characterization process is an integral part of the overall effort to control the hazards associated with radioactive wastes stored in underground tanks at the Hanford Reservation. The programs involved in the characterization of the waste are employing the Data Quality Objective (DQO) process in all information and data collection activities. The DQO process is used by the programs to address an issue or problem rather than a specific sampling event. Practical limits (e.g., limited number and location of sampling points) do not always allow for precise characterization of a tank or the full implementation of the DQO process. Because of the flexibility of the DQO process, it can be used as a planning tool for sampling and analysis of the underground waste storage tanks. The iterative nature of the DQO process allows it to be used as additional information is obtained or open-quotes lessons are learnedclose quotes concerning an issue or problem requiring sampling and analysis of tank waste. In addition, the application of the DQO process forces alternative actions to be considered when precise characterization of a tank or the fall implementation of the DQO process is not practical

  10. Moving object detection in video satellite image based on deep learning

    Science.gov (United States)

    Zhang, Xueyang; Xiang, Junhua

    2017-11-01

    Moving object detection in video satellite image is studied. A detection algorithm based on deep learning is proposed. The small scale characteristics of remote sensing video objects are analyzed. Firstly, background subtraction algorithm of adaptive Gauss mixture model is used to generate region proposals. Then the objects in region proposals are classified via the deep convolutional neural network. Thus moving objects of interest are detected combined with prior information of sub-satellite point. The deep convolution neural network employs a 21-layer residual convolutional neural network, and trains the network parameters by transfer learning. Experimental results about video from Tiantuo-2 satellite demonstrate the effectiveness of the algorithm.

  11. Ego-Motion and Tracking for Continuous Object Learning: A Brief Survey

    Science.gov (United States)

    2017-09-01

    past research related to the tasks of ego-motion estimation and object tracking from the viewpoint of their role in continuous object learning...in visual object tracking, competitions are held each year to identify the most accurate and robust tracking implementations. Over recent competitions...information should they share) or vice versa? These are just some of the questions that must be addressed in future research toward continuous object

  12. Tool Support for Collaborative Teaching and Learning of Object-Oriented Modelling

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius; Ratzer, Anne Vinter

    2002-01-01

    Modeling is central to doing and learning object-oriented development. We present a new tool, Ideogramic UML, for gesture-based collaborative modeling with the Unified Modeling Language (UML), which can be used to collaboratively teach and learn modeling. Furthermore, we discuss how we have...

  13. A Meta-Relational Approach for the Definition and Management of Hybrid Learning Objects

    Science.gov (United States)

    Navarro, Antonio; Fernandez-Pampillon, Ana Ma.; Fernandez-Chamizo, Carmen; Fernandez-Valmayor, Alfredo

    2013-01-01

    Electronic learning objects (LOs) are commonly conceived of as digital units of information used for teaching and learning. To facilitate their classification for pedagogical planning and retrieval purposes, LOs are complemented with metadata (e.g., the author). These metadata are usually restricted by a set of predetermined tags to which the…

  14. iLOG: A Framework for Automatic Annotation of Learning Objects with Empirical Usage Metadata

    Science.gov (United States)

    Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen

    2012-01-01

    Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…

  15. An Achievement Degree Analysis Approach to Identifying Learning Problems in Object-Oriented Programming

    Science.gov (United States)

    Allinjawi, Arwa A.; Al-Nuaim, Hana A.; Krause, Paul

    2014-01-01

    Students often face difficulties while learning object-oriented programming (OOP) concepts. Many papers have presented various assessment methods for diagnosing learning problems to improve the teaching of programming in computer science (CS) higher education. The research presented in this article illustrates that although max-min composition is…

  16. Simplified production of multimedia based radiological learning objects using the flash format

    International Nuclear Information System (INIS)

    Jedrusik, P.; Preisack, M.; Dammann, F.

    2005-01-01

    Purpose: evaluation of the applicability of the flash format for the production of radiological learning objects used in an e-learning environment. Material and methods: five exemplary learning objects with different didactic purposes referring to radiological diagnostics are presented. They have been intended for the use within the multimedia, internet-based e-learning environment LaMedica. Interactive learning objects were composed using the Flash 5.0 software (Macromedia, San Francisco, USA) on the basis of digital CT and MR images, digitized conventional radiographs and different graphical elements prepared as TIFF files or in a vector graphics format. Results: after a short phase of initial skill adaptation training, a radiologist author was soon able to create independently all learning objects. The import of different types of images and graphical elements was carried out without complications. Despite manifold design options, handling of the program is easy due to clear arrangement and structure, thus enabling the creation of simple as well as complex learning objects that provided a high degree of attractiveness and interaction. Data volume and bandwidth demand for online use was significantly reduced by the flash format compression without a substantial loss of visual quality. (orig.)

  17. Jon Stewart Comes to Class: The Learning Effects of "America (The Book)" in Introduction to American Government Courses

    Science.gov (United States)

    Baumgartner, Jody C.; Morris, Jonathan S.

    2008-01-01

    This project posits that incorporating political humor into the classroom can have a positive effect on learning in higher education. Specifically, we present preliminary findings from a quasi-experiment in which a humorous, "mock" textbook titled America (The Book) (Stewart, Karlin, and Javerbaum 2004) was incorporated into Introduction to…

  18. Developing Research Skills for Undergraduate Business Students: Experiential Learning on Introduction to Personnel Administration and Industrial Relations Course

    Science.gov (United States)

    Figueroa, Carmen I.; González, Cándida

    2014-01-01

    This paper reports on research into developing research skills in human resources management of apprentices through experiential learning. The target groups were undergraduate business students registered in the Introduction to Personnel and Industrial Relations course. The research identified the appreciation level of importance and satisfaction…

  19. Reflecting on 25 Years of Teaching, Researching, and Textbook Writing for Introduction to Management: An Essay with Some Lessons Learned

    Science.gov (United States)

    Dyck, Bruno

    2017-01-01

    This essay describes innovations made and lessons learned while teaching introduction to management courses during a 25-year career. The essay describes how teaching two approaches to management increases students' critical and ethical thinking, and reverses the tendency for business students to become increasingly materialistic and…

  20. Learn Objective-C on the Mac for OS X and iOS

    CERN Document Server

    Knaster, Scott; Malik, Waqar

    2012-01-01

    Learn to write apps for some of today's hottest technologies, including the iPhone and iPad (using iOS), as well as the Mac (using OS X). It starts with Objective-C, the base language on which the native iOS software development kit (SDK) and the OS X are based. Learn Objective-C on the Mac: For OS X and iOS, Second Edition updates a best selling book and is an extensive, newly updated guide to Objective-C. Objective-C is a powerful, object-oriented extension of C, making this update the perfect follow-up to Dave Mark's bestselling Learn C on the Mac. Whether you're an experienced C programmer

  1. Towards a Standards-Based Approach to E-Learning Personalization Using Reusable Learning Objects.

    Science.gov (United States)

    Conlan, Owen; Dagger, Declan; Wade, Vincent

    E-Learning systems that produce personalized course offerings for the learner are often expensive, both from a time and financial perspective, to develop and maintain. Learning content personalized to a learners' cognitive preferences has been shown to produce more effective learning, however many approaches to realizing this form of…

  2. Rapid e-Learning Tools Selection Process for Cognitive and Psychomotor Learning Objectives

    Science.gov (United States)

    Ku, David Tawei; Huang, Yung-Hsin

    2012-01-01

    This study developed a decision making process for the selection of rapid e-learning tools that could match different learning domains. With the development of the Internet, the speed of information updates has become faster than ever. E-learning has rapidly become the mainstream for corporate training and academic instruction. In order to reduce…

  3. Design, Implementation and Evaluation of a Learning Object that Supports the Mathematics Learning in Children with Autism Spectrum Disorders

    Directory of Open Access Journals (Sweden)

    Roberto Munoz

    2018-04-01

    Full Text Available Information technologies have been widely used for entertainment and learning purposes by children with Autism Spectrum Disorders (ASD. Nonetheless, learning objects aiming at specific skills development in children with ASD require both a well bounded learning domain and a user-centered design process, considering skill levels of the users and the local geographical context and language. “Proyect@ Matemáticas” is a multi-touch based app designed for developing pre-calculus and functional mathematical skills in children with ASD, according to the Chilean regulations of learning goals for children with special educational necessities. This paper presents the User-centered design process conducted in order to develop the learning object, which included the evaluation by 15 experts in special educational needs, testing by 10 ASD-diagnosed children with different functional levels, and a multidisciplinary development team that also included a graphic designer diagnosed with ASD of high functionality. The development process yields to a validated learning object in terms of interactivity, design, engagement, and usability, from the point of view of the experts, and successful usage tests with ASD diagnosed children in terms of performance and achievement of learning outcomes. The application is currently available for download in the Google Play store for free, and currently has more than 15,000 downloads and an average rating of 4.2 out of 5 points.

  4. A Mobile Service Oriented Multiple Object Tracking Augmented Reality Architecture for Education and Learning Experiences

    Science.gov (United States)

    Rattanarungrot, Sasithorn; White, Martin; Newbury, Paul

    2014-01-01

    This paper describes the design of our service-oriented architecture to support mobile multiple object tracking augmented reality applications applied to education and learning scenarios. The architecture is composed of a mobile multiple object tracking augmented reality client, a web service framework, and dynamic content providers. Tracking of…

  5. Autonomous learning of robust visual object detection and identification on a humanoid

    NARCIS (Netherlands)

    Leitner, J.; Chandrashekhariah, P.; Harding, S.; Frank, M.; Spina, G.; Förster, A.; Triesch, J.; Schmidhuber, J.

    2012-01-01

    In this work we introduce a technique for a humanoid robot to autonomously learn the representations of objects within its visual environment. Our approach involves an attention mechanism in association with feature based segmentation that explores the environment and provides object samples for

  6. Large-scale weakly supervised object localization via latent category learning.

    Science.gov (United States)

    Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Maybank, Steve

    2015-04-01

    Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects usually have large ambiguity with backgrounds. Besides, there is also a lack of effective algorithm for large-scale weakly supervised localization in cluttered backgrounds. However, backgrounds contain useful latent information, e.g., the sky in the aeroplane class. If this latent information can be learned, object-background ambiguity can be largely reduced and background can be suppressed effectively. In this paper, we propose the latent category learning (LCL) in large-scale cluttered conditions. LCL is an unsupervised learning method which requires only image-level class labels. First, we use the latent semantic analysis with semantic object representation to learn the latent categories, which represent objects, object parts or backgrounds. Second, to determine which category contains the target object, we propose a category selection strategy by evaluating each category's discrimination. Finally, we propose the online LCL for use in large-scale conditions. Evaluation on the challenging PASCAL Visual Object Class (VOC) 2007 and the large-scale imagenet large-scale visual recognition challenge 2013 detection data sets shows that the method can improve the annotation precision by 10% over previous methods. More importantly, we achieve the detection precision which outperforms previous results by a large margin and can be competitive to the supervised deformable part model 5.0 baseline on both data sets.

  7. Behavioral Objectives, the Cult of Efficiency, and Foreign Language Learning: Are They Compatible?

    Science.gov (United States)

    Tumposky, Nancy Rennau

    1984-01-01

    Surveys the literature regarding the use of behavioral objectives in education and in foreign language instruction and examines the roots of the behavioral objectives movement in behaviorist psychology and the scientific management movement of the 1920s. Discusses implications for foreign and second language learning and provides suggestions for…

  8. Aspects on Teaching/Learning with Object Oriented Programming for Entry Level Courses of Engineering.

    Science.gov (United States)

    de Oliveira, Clara Amelia; Conte, Marcos Fernando; Riso, Bernardo Goncalves

    This work presents a proposal for Teaching/Learning, on Object Oriented Programming for Entry Level Courses of Engineering and Computer Science, on University. The philosophy of Object Oriented Programming comes as a new pattern of solution for problems, where flexibility and reusability appears over the simple data structure and sequential…

  9. Validation of virtual learning object to support the teaching of nursing care systematization

    Directory of Open Access Journals (Sweden)

    Pétala Tuani Candido de Oliveira Salvador

    Full Text Available ABSTRACT Objective: to describe the content validation process of a Virtual Learning Object to support the teaching of nursing care systematization to nursing professionals. Method: methodological study, with quantitative approach, developed according to the methodological reference of Pasquali's psychometry and conducted from March to July 2016, from two-stage Delphi procedure. Results: in the Delphi 1 stage, eight judges evaluated the Virtual Object; in Delphi 2 stage, seven judges evaluated it. The seven screens of the Virtual Object were analyzed as to the suitability of its contents. The Virtual Learning Object to support the teaching of nursing care systematization was considered valid in its content, with a Total Content Validity Coefficient of 0.96. Conclusion: it is expected that the Virtual Object can support the teaching of nursing care systematization in light of appropriate and effective pedagogical approaches.

  10. Attribute conjunctions and the part configuration advantage in object category learning.

    Science.gov (United States)

    Saiki, J; Hummel, J E

    1996-07-01

    Five experiments demonstrated that in object category learning people are particularly sensitive to conjunctions of part shapes and relative locations. Participants learned categories defined by a part's shape and color (part-color conjunctions) or by a part's shape and its location relative to another part (part-location conjunctions). The statistical properties of the categories were identical across these conditions, as were the salience of color and relative location. Participants were better at classifying objects defined by part-location conjunctions than objects defined by part-color conjunctions. Subsequent experiments revealed that this effect was not due to the specific color manipulation or the role of location per se. These results suggest that the shape bias in object categorization is at least partly due to sensitivity to part-location conjunctions and suggest a new processing constraint on category learning.

  11. ROBUSTNESS AND PREDICTION ACCURACY OF MACHINE LEARNING FOR OBJECTIVE VISUAL QUALITY ASSESSMENT

    OpenAIRE

    Hines, Andrew; Kendrick, Paul; Barri, Adriaan; Narwaria, Manish; Redi, Judith A.

    2014-01-01

    Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reliability of ML-based techniques within objective quality assessment metrics is often questioned. In this study, the robustness of ML in supporting objective quality assessment is investigated, specifically when the feature set adopted for prediction is suboptim...

  12. Robustness and prediction accuracy of machine learning for objective visual quality assessment

    OpenAIRE

    HINES, ANDREW

    2014-01-01

    PUBLISHED Lisbon, Portugal Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. Nevertheless, the reli- ability of ML-based techniques within objective quality as- sessment metrics is often questioned. In this study, the ro- bustness of ML in supporting objective quality assessment is investigated, specific...

  13. [Case-based interactive PACS learning: introduction of a new concept for radiological education of students].

    Science.gov (United States)

    Scherer, A; Kröpil, P; Heusch, P; Buchbender, C; Sewerin, P; Blondin, D; Lanzman, R S; Miese, F; Ostendorf, B; Bölke, E; Mödder, U; Antoch, G

    2011-11-01

    Medical curricula are currently being reformed in order to establish superordinated learning objectives, including, e.g., diagnostic, therapeutic and preventive competences. This requires a shifting from traditional teaching methods towards interactive and case-based teaching concepts. Conceptions, initial experiences and student evaluations of a novel radiological course Co-operative Learning In Clinical Radiology (CLICR) are presented in this article. A novel radiological teaching course (CLICR course), which combines different innovative teaching elements, was established and integrated into the medical curriculum. Radiological case vignettes were created for three clinical teaching modules. By using a PC with PACS (Picture Archiving and Communication System) access, web-based databases and the CASUS platform, a problem-oriented, case-based and independent way of learning was supported as an adjunct to the well established radiological courses and lectures. Student evaluations of the novel CLICR course and the radiological block course were compared. Student evaluations of the novel CLICR course were significantly better compared to the conventional radiological block course. Of the participating students 52% gave the highest rating for the novel CLICR course concerning the endpoint overall satisfaction as compared to 3% of students for the conventional block course. The innovative interactive concept of the course and the opportunity to use a web-based database were favorably accepted by the students. Of the students 95% rated the novel course concept as a substantial gain for the medical curriculum and 95% also commented that interactive working with the PACS and a web-based database (82%) promoted learning and understanding. Interactive, case-based teaching concepts such as the presented CLICR course are considered by both students and teachers as useful extensions to the radiological course program. These concepts fit well into competence-oriented curricula.

  14. Selective bilateral amygdala lesions in rhesus monkeys fail to disrupt object reversal learning.

    Science.gov (United States)

    Izquierdo, Alicia; Murray, Elisabeth A

    2007-01-31

    Neuropsychological studies in nonhuman primates have led to the view that the amygdala plays an essential role in stimulus-reward association. The main evidence in support of this idea is that bilateral aspirative or radiofrequency lesions of the amygdala yield severe impairments on object reversal learning, a task that assesses the ability to shift choices of objects based on the presence or absence of food reward (i.e., reward contingency). The behavioral effects of different lesion techniques, however, can vary. The present study therefore evaluated the effects of selective, excitotoxic lesions of the amygdala in rhesus monkeys on object reversal learning. For comparison, we tested the same monkeys on a task known to be sensitive to amygdala damage, the reinforcer devaluation task. Contrary to previous results based on less selective lesion techniques, monkeys with complete excitotoxic amygdala lesions performed object reversal learning as quickly as controls. As predicted, however, the same operated monkeys were impaired in making object choices after devaluation of the associated food reinforcer. The results suggest two conclusions. First, the results demonstrate that the amygdala makes a selective contribution to stimulus-reward association; the amygdala is critical for guiding object choices after changes in reward value but not after changes in reward contingency. Second, the results implicate a critical contribution to object reversal learning of structures nearby the amygdala, perhaps the subjacent rhinal cortex.

  15. Special report on the political and social contexts of health: Part I. Introduction: objectives and purposes of the study.

    Science.gov (United States)

    Navarro, Vicente

    2003-01-01

    This article introduces a series of research projects (carried out by the International Network on Social Inequalities and Health) focused on the impact of politics on policy and the consequences for health and quality of life, an area that has been understudied in the social science literature. The introduction describes the conceptual model that guided the research, centered on the study of how political parties and social agents (such as trade unions) affect social inequalities and mortality indicators through labor market and welfare state policies. The major theme of this research is whether political and social interventions matter in health policy and health outcomes. The introduction also describes the different types of research projects carried out by the International Network at the national levels (among OECD countries) and at the regional and local levels (in the United Kingdom, Italy, Germany, Spain, and Sweden). This Journal issue presents the multinational study and the U.K. case study; the next issue will include the Italian, German, Spanish, and Swedish case studies and the summary and conclusions.

  16. Online Feature Transformation Learning for Cross-Domain Object Category Recognition.

    Science.gov (United States)

    Zhang, Xuesong; Zhuang, Yan; Wang, Wei; Pedrycz, Witold

    2017-06-09

    In this paper, we introduce a new research problem termed online feature transformation learning in the context of multiclass object category recognition. The learning of a feature transformation is viewed as learning a global similarity metric function in an online manner. We first consider the problem of online learning a feature transformation matrix expressed in the original feature space and propose an online passive aggressive feature transformation algorithm. Then these original features are mapped to kernel space and an online single kernel feature transformation (OSKFT) algorithm is developed to learn a nonlinear feature transformation. Based on the OSKFT and the existing Hedge algorithm, a novel online multiple kernel feature transformation algorithm is also proposed, which can further improve the performance of online feature transformation learning in large-scale application. The classifier is trained with k nearest neighbor algorithm together with the learned similarity metric function. Finally, we experimentally examined the effect of setting different parameter values in the proposed algorithms and evaluate the model performance on several multiclass object recognition data sets. The experimental results demonstrate the validity and good performance of our methods on cross-domain and multiclass object recognition application.

  17. An Interactive Learning Environment for Teaching the Imperative and Object-Oriented Programming Techniques in Various Learning Contexts

    Science.gov (United States)

    Xinogalos, Stelios

    The acquisition of problem-solving and programming skills in the era of knowledge society seems to be particularly important. Due to the intrinsic difficulty of acquiring such skills various educational tools have been developed. Unfortunately, most of these tools are not utilized. In this paper we present the programming microworlds Karel and objectKarel that support the procedural-imperative and Object-Oriented Programming (OOP) techniques and can be used for supporting the teaching and learning of programming in various learning contexts and audiences. The paper focuses on presenting the pedagogical features that are common to both environments and mainly on presenting the potential uses of these environments.

  18. It's all connected: Pathways in visual object recognition and early noun learning.

    Science.gov (United States)

    Smith, Linda B

    2013-11-01

    A developmental pathway may be defined as the route, or chain of events, through which a new structure or function forms. For many human behaviors, including object name learning and visual object recognition, these pathways are often complex and multicausal and include unexpected dependencies. This article presents three principles of development that suggest the value of a developmental psychology that explicitly seeks to trace these pathways and uses empirical evidence on developmental dependencies among motor development, action on objects, visual object recognition, and object name learning in 12- to 24-month-old infants to make the case. The article concludes with a consideration of the theoretical implications of this approach. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

  19. Internal attention to features in visual short-term memory guides object learning.

    Science.gov (United States)

    Fan, Judith E; Turk-Browne, Nicholas B

    2013-11-01

    Attending to objects in the world affects how we perceive and remember them. What are the consequences of attending to an object in mind? In particular, how does reporting the features of a recently seen object guide visual learning? In three experiments, observers were presented with abstract shapes in a particular color, orientation, and location. After viewing each object, observers were cued to report one feature from visual short-term memory (VSTM). In a subsequent test, observers were cued to report features of the same objects from visual long-term memory (VLTM). We tested whether reporting a feature from VSTM: (1) enhances VLTM for just that feature (practice-benefit hypothesis), (2) enhances VLTM for all features (object-based hypothesis), or (3) simultaneously enhances VLTM for that feature and suppresses VLTM for unreported features (feature-competition hypothesis). The results provided support for the feature-competition hypothesis, whereby the representation of an object in VLTM was biased towards features reported from VSTM and away from unreported features (Experiment 1). This bias could not be explained by the amount of sensory exposure or response learning (Experiment 2) and was amplified by the reporting of multiple features (Experiment 3). Taken together, these results suggest that selective internal attention induces competitive dynamics among features during visual learning, flexibly tuning object representations to align with prior mnemonic goals. Copyright © 2013 Elsevier B.V. All rights reserved.

  20. Introduction to the GEOBIA 2010 special issue: From pixels to geographic objects in remote sensing image analysis

    Science.gov (United States)

    Addink, Elisabeth A.; Van Coillie, Frieke M. B.; De Jong, Steven M.

    2012-04-01

    Traditional image analysis methods are mostly pixel-based and use the spectral differences of landscape elements at the Earth surface to classify these elements or to extract element properties from the Earth Observation image. Geographic object-based image analysis (GEOBIA) has received considerable attention over the past 15 years for analyzing and interpreting remote sensing imagery. In contrast to traditional image analysis, GEOBIA works more like the human eye-brain combination does. The latter uses the object's color (spectral information), size, texture, shape and occurrence to other image objects to interpret and analyze what we see. GEOBIA starts by segmenting the image grouping together pixels into objects and next uses a wide range of object properties to classify the objects or to extract object's properties from the image. Significant advances and improvements in image analysis and interpretation are made thanks to GEOBIA. In June 2010 the third conference on GEOBIA took place at the Ghent University after successful previous meetings in Calgary (2008) and Salzburg (2006). This special issue presents a selection of the 2010 conference papers that are worked out as full research papers for JAG. The papers cover GEOBIA applications as well as innovative methods and techniques. The topics range from vegetation mapping, forest parameter estimation, tree crown identification, urban mapping, land cover change, feature selection methods and the effects of image compression on segmentation. From the original 94 conference papers, 26 full research manuscripts were submitted; nine papers were selected and are presented in this special issue. Selection was done on the basis of quality and topic of the studies. The next GEOBIA conference will take place in Rio de Janeiro from 7 to 9 May 2012 where we hope to welcome even more scientists working in the field of GEOBIA.

  1. Development of Learning Virtual Objects as a Strategy to Foster Student Retention in Higher Education

    OpenAIRE

    Yois S. Pascuas Rengifo; César Omar Jaramillo Morales; Fredy Antonio Verástegui González

    2015-01-01

    Rev.esc.adm.neg One of the problems that the Colombian higher education system is facing is the problem of student desertion, shwoing that a great amount of students leave their university studies during the first semesters. For this reason, the National Education Ministry and Universidad de la Amazonia implement a new strategy to foster student retention and graduation through academic levelling. This paper shows eight learning virtual objects from different learning áreas, applying tech...

  2. Storytelling in the digital world: achieving higher-level learning objectives.

    Science.gov (United States)

    Schwartz, Melissa R

    2012-01-01

    Nursing students are not passive media consumers but instead live in a technology ecosystem where digital is the language they speak. To prepare the next generation of nurses, educators must incorporate multiple technologies to improve higher-order learning. The author discusses the evolution and use of storytelling as part of the digital world and how digital stories can be aligned with Bloom's Taxonomy so that students achieve higher-level learning objectives.

  3. Creative Generation of 3D Objects with Deep Learning and Innovation Engines

    DEFF Research Database (Denmark)

    Lehman, Joel Anthony; Risi, Sebastian; Clune, Jeff

    2016-01-01

    Advances in supervised learning with deep neural networks have enabled robust classification in many real world domains. An interesting question is if such advances can also be leveraged effectively for computational creativity. One insight is that because evolutionary algorithms are free from st...... creativity. The results of this automated process are interesting and recognizable 3D-printable objects, demonstrating the creative potential for combining evolutionary computation and deep learning in this way....

  4. Integrating language and content learning objectives : the Bilkent University adjunct model

    OpenAIRE

    Doğan, Egemen Barış

    2003-01-01

    Cataloged from PDF version of article. In response to a global interest in learning English, many instructional approaches, methods, and techniques have been developed. Some have been short-lived, and others have sustained themselves for longer periods of time. Content-based instruction (CBI) — a particular approach to CBI involving a pairing of language and content classes with shared language and content learning objectives — have been considered as viable ways to teach la...

  5. The perceptual effects of learning object categories that predict perceptual goals

    Science.gov (United States)

    Van Gulick, Ana E.; Gauthier, Isabel

    2014-01-01

    In classic category learning studies, subjects typically learn to assign items to one of two categories, with no further distinction between how items on each side of the category boundary should be treated. In real life, however, we often learn categories that dictate further processing goals, for instance with objects in only one category requiring further individuation. Using methods from category learning and perceptual expertise, we studied the perceptual consequences of experience with objects in tasks that rely on attention to different dimensions in different parts of the space. In two experiments, subjects first learned to categorize complex objects from a single morphspace into two categories based on one morph dimension, and then learned to perform a different task, either naming or a local feature judgment, for each of the two categories. A same-different discrimination test before and after each training measured sensitivity to feature dimensions of the space. After initial categorization, sensitivity increased along the category-diagnostic dimension. After task association, sensitivity increased more for the category that was named, especially along the non-diagnostic dimension. The results demonstrate that local attentional weights, associated with individual exemplars as a function of task requirements, can have lasting effects on perceptual representations. PMID:24820671

  6. Multi-documents summarization based on clustering of learning object using hierarchical clustering

    Science.gov (United States)

    Mustamiin, M.; Budi, I.; Santoso, H. B.

    2018-03-01

    The Open Educational Resources (OER) is a portal of teaching, learning and research resources that is available in public domain and freely accessible. Learning contents or Learning Objects (LO) are granular and can be reused for constructing new learning materials. LO ontology-based searching techniques can be used to search for LO in the Indonesia OER. In this research, LO from search results are used as an ingredient to create new learning materials according to the topic searched by users. Summarizing-based grouping of LO use Hierarchical Agglomerative Clustering (HAC) with the dependency context to the user’s query which has an average value F-Measure of 0.487, while summarizing by K-Means F-Measure only has an average value of 0.336.

  7. The use of Leeds Test Objects in the assessment of the performance of radiological imaging systems: an introduction

    International Nuclear Information System (INIS)

    Cowen, A.R.

    1986-01-01

    Over the preceding decade the Leeds Radiological Imaging Group have developed a range of test objects with which to assess the performance of radiological imaging systems. The types of imaging equipment which can be assessed include X-ray image intensifier television systems, small-format 100mm/105mm fluorography systems and radiographic screen-film combinations. We have recently extended our interest to the evaluation of digital radiological imaging equipment including digital subtraction fluorography and digital (greyscale) radiographic imaging systems. These test objects were initially developed for the purpose of evaluating imaging performance under laboratory conditions but they have also proved useful under field (clinical) conditions. (author)

  8. Building a learning health system using clinical registers: a non-technical introduction.

    Science.gov (United States)

    Ovretveit, John; Nelson, Eugene; James, Brent

    2016-10-10

    Purpose The purpose of this paper is to describe how clinical registers were designed and used to serve multiple purposes in three health systems, in order to contribute practical experience for building learning healthcare systems. Design/methodology/approach Case description and comparison of the development and use of clinical registries, drawing on participants' experience and published and unpublished research. Findings Clinical registers and new software systems enable fact-based decisions by patients, clinicians, and managers about better care, as well as new and more economical research. Designing systems to present the data for users' daily work appears to be the key to effective use of the potential afforded by digital data. Research limitations/implications The case descriptions draw on the experience of the authors who were involved in the development of the registers, as well as on published and unpublished research. There is limited data about outcomes for patients or cost-effectiveness. Practical implications The cases show the significant investments which are needed to make effective use of clinical register data. There are limited skills to design and apply the digital systems to make the best use of the systems and to reduce their disadvantages. More use can be made of digital data for quality improvement, patient empowerment and support, and for research. Social implications Patients can use their data combined with other data to self-manage their chronic conditions. There are challenges in designing and using systems so that those with lower health and computer literacy and incomes also benefit from these systems, otherwise the digital revolution may increase health inequalities. Originality/value The paper shows three real examples of clinical registers which have been developed as part of their host health systems' strategies to develop learning healthcare systems. The paper gives a simple non-technical introduction and overview for

  9. Toward Self-Referential Autonomous Learning of Object and Situation Models.

    Science.gov (United States)

    Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

    2016-01-01

    Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

  10. Smart learning objects for smart education in computer science theory, methodology and robot-based implementation

    CERN Document Server

    Stuikys, Vytautas

    2015-01-01

    This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist a

  11. Learning based particle filtering object tracking for visible-light systems.

    Science.gov (United States)

    Sun, Wei

    2015-10-01

    We propose a novel object tracking framework based on online learning scheme that can work robustly in challenging scenarios. Firstly, a learning-based particle filter is proposed with color and edge-based features. We train a. support vector machine (SVM) classifier with object and background information and map the outputs into probabilities, then the weight of particles in a particle filter can be calculated by the probabilistic outputs to estimate the state of the object. Secondly, the tracking loop starts with Lucas-Kanade (LK) affine template matching and follows by learning-based particle filter tracking. Lucas-Kanade method estimates errors and updates object template in the positive samples dataset, and learning-based particle filter tracker will start if the LK tracker loses the object. Finally, SVM classifier evaluates every tracked appearance to update the training set or restart the tracking loop if necessary. Experimental results show that our method is robust to challenging light, scale and pose changing, and test on eButton image sequence also achieves satisfactory tracking performance.

  12. Real-world visual statistics and infants' first-learned object names.

    Science.gov (United States)

    Clerkin, Elizabeth M; Hart, Elizabeth; Rehg, James M; Yu, Chen; Smith, Linda B

    2017-01-05

    We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of objects was pervasively present-a fact that may substantially reduce the problem of referential ambiguity. The statistical structure of objects in these infant egocentric scenes differs markedly from that in the training sets used in computational models and in experiments on statistical word-referent learning. Therefore, the results also indicate a need to re-examine current explanations of how infants break into word learning.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

  13. Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences.

    Science.gov (United States)

    Bhat, Ajaz Ahmad; Mohan, Vishwanathan; Sandini, Giulio; Morasso, Pietro

    2016-07-01

    Emerging studies indicate that several species such as corvids, apes and children solve 'The Crow and the Pitcher' task (from Aesop's Fables) in diverse conditions. Hidden beneath this fascinating paradigm is a fundamental question: by cumulatively interacting with different objects, how can an agent abstract the underlying cause-effect relations to predict and creatively exploit potential affordances of novel objects in the context of sought goals? Re-enacting this Aesop's Fable task on a humanoid within an open-ended 'learning-prediction-abstraction' loop, we address this problem and (i) present a brain-guided neural framework that emulates rapid one-shot encoding of ongoing experiences into a long-term memory and (ii) propose four task-agnostic learning rules (elimination, growth, uncertainty and status quo) that correlate predictions from remembered past experiences with the unfolding present situation to gradually abstract the underlying causal relations. Driven by the proposed architecture, the ensuing robot behaviours illustrated causal learning and anticipation similar to natural agents. Results further demonstrate that by cumulatively interacting with few objects, the predictions of the robot in case of novel objects converge close to the physical law, i.e. the Archimedes principle: this being independent of both the objects explored during learning and the order of their cumulative exploration. © 2016 The Author(s).

  14. [Implementation of bedside training and advanced objective structured clinical examination (OSCE) trial to learn and confirm about pharmacy clinical skills].

    Science.gov (United States)

    Tokunaga, Jin; Takamura, Norito; Ogata, Kenji; Setoguchi, Nao; Sato, Keizo

    2013-01-01

    Bedside training for fourth-year students, as well as seminars in hospital pharmacy (vital sign seminars) for fifth-year students at the Department of Pharmacy of Kyushu University of Health and Welfare have been implemented using patient training models and various patient simulators. The introduction of simulation-based pharmaceutical education, where no patients are present, promotes visually, aurally, and tactilely simulated learning regarding the evaluation of vital signs and implementation of physical assessment when disease symptoms are present or adverse effects occur. A patient simulator also promotes the creation of training programs for emergency and critical care, with which basic as well as advanced life support can be practiced. In addition, an advanced objective structured clinical examination (OSCE) trial has been implemented to evaluate skills regarding vital signs and physical assessments. Pharmacists are required to examine vital signs and conduct physical assessment from a pharmaceutical point of view. The introduction of these pharmacy clinical skills will improve the efficacy of drugs, work for the prevention or early detection of adverse effects, and promote the appropriate use of drugs. It is considered that simulation-based pharmaceutical education is essential to understand physical assessment, and such education will ideally be applied and developed according to on-site practices.

  15. Interaction between the Learners' Initial Grasp of the Object of Learning and the Learning Resource Afforded

    Science.gov (United States)

    Pang, Ming Fai; Marton, Ference

    2013-01-01

    Two studies are reported in this paper. The object of learning in both is the economic principle of changes in price as a function of changes in the relative magnitude of changes in demand and supply. The patterns of variation and invariance, defining the conditions compared were built into pedagogical tools (text, graphs, and worksheets). The…

  16. Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR

    Science.gov (United States)

    Zschocke, Thomas; Beniest, Jan

    The Consultative Group on International Agricultural Re- search (CGIAR) has established a digital repository to share its teaching and learning resources along with descriptive educational information based on the IEEE Learning Object Metadata (LOM) standard. As a critical component of any digital repository, quality metadata are critical not only to enable users to find more easily the resources they require, but also for the operation and interoperability of the repository itself. Studies show that repositories have difficulties in obtaining good quality metadata from their contributors, especially when this process involves many different stakeholders as is the case with the CGIAR as an international organization. To address this issue the CGIAR began investigating the Open ECBCheck as well as the ISO/IEC 19796-1 standard to establish quality protocols for its training. The paper highlights the implications and challenges posed by strengthening the metadata creation workflow for disseminating learning objects of the CGIAR.

  17. Creating Learning Objects to Enhance the Educational Experiences of American Sign Language Learners: An Instructional Development Report

    Directory of Open Access Journals (Sweden)

    Simone Conceição

    2002-10-01

    Full Text Available Little attention has been given to involving the deaf community in distance teaching and learning or in designing courses that relate to their language and culture. This article reports on the design and development of video-based learning objects created to enhance the educational experiences of American Sign Language (ASL hearing participants in a distance learning course and, following the course, the creation of several new applications for use of the learning objects. The learning objects were initially created for the web, as a course component for review and rehearsal. The value of the web application, as reported by course participants, led us to consider ways in which the learning objects could be used in a variety of delivery formats: CD-ROM, web-based knowledge repository, and handheld device. The process to create the learning objects, the new applications, and lessons learned are described.

  18. Semantic Web, Reusable Learning Objects, Personal Learning Networks in Health: Key Pieces for Digital Health Literacy.

    Science.gov (United States)

    Konstantinidis, Stathis Th; Wharrad, Heather; Windle, Richard; Bamidis, Panagiotis D

    2017-01-01

    The knowledge existing in the World Wide Web is exponentially expanding, while continuous advancements in health sciences contribute to the creation of new knowledge. There are a lot of efforts trying to identify how the social connectivity can endorse patients' empowerment, while other studies look at the identification and the quality of online materials. However, emphasis has not been put on the big picture of connecting the existing resources with the patients "new habits" of learning through their own Personal Learning Networks. In this paper we propose a framework for empowering patients' digital health literacy adjusted to patients' currents needs by utilizing the contemporary way of learning through Personal Learning Networks, existing high quality learning resources and semantics technologies for interconnecting knowledge pieces. The framework based on the concept of knowledge maps for health as defined in this paper. Health Digital Literacy needs definitely further enhancement and the use of the proposed concept might lead to useful tools which enable use of understandable health trusted resources tailored to each person needs.

  19. Big Java late objects

    CERN Document Server

    Horstmann, Cay S

    2012-01-01

    Big Java: Late Objects is a comprehensive introduction to Java and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for a two-semester first course in programming for computer science students.

  20. Learning Rich Features from RGB-D Images for Object Detection and Segmentation

    OpenAIRE

    Gupta, Saurabh; Girshick, Ross; Arbeláez, Pablo; Malik, Jitendra

    2014-01-01

    In this paper we study the problem of object detection for RGB-D images using semantically rich image and depth features. We propose a new geocentric embedding for depth images that encodes height above ground and angle with gravity for each pixel in addition to the horizontal disparity. We demonstrate that this geocentric embedding works better than using raw depth images for learning feature representations with convolutional neural networks. Our final object detection system achieves an av...

  1. Catalogue of Interactive Learning Objectives to improve an Integrated Medical and Dental Curriculum.

    Science.gov (United States)

    Mahmoodi, Benjamin; Sagheb, K; Sagheb, Ka; Schulz, P; Willershausen, B; Al-Nawas, B; Walter, C

    2016-12-01

    Online learning media are increasingly being incorporated into medical and dental education. However, the coordination between obligatory and facultative teaching domains still remains unsatisfying. The Catalogue of Interactive Learning Objectives of the University Clinic of Mainz (ILKUM), aims to offer knowledge transfer for students while being mindful of their individual qualifications. Its hierarchical structure is designed according to the Association for Dental Education in Europe (ADEE) levels of competence. The ILKUM was designed to establish a stronger interconnection between already existing and prospective learning strategies. All contents are linked to the current lectures as well as to e-learning modules, e.g., clinical case studies and OR videos. Students can conduct self-examinations regarding specific learning objectives. Since 2007, ILKUM has been developed and analyzed regarding its acceptance among dental students. These improved e-learning techniques foster time and location-independent access to study materials and allow an estimation of the knowledge achieved by students. Surveys of our students clearly show a large demand for upgrading ILKUM content (89%; n = 172) with integrated self-testing (89%; n = 174). In parallel to the advancement of our e-learning offering, a portion of internet-based learning is constantly rising among students. The broad acceptance and demand for the development of ILKUM show its potential. Moreover, ILKUM grants fast, topic-oriented querying of learning content without time and locale limitations as well as direct determination of the individually needed knowledge conditions. The long-term goal of the ILKUM project is to be a sustainable, important additional modality of teaching and training for dental and medical students.

  2. Development of national competency-based learning objectives "Medical Informatics" for undergraduate medical education.

    Science.gov (United States)

    Röhrig, R; Stausberg, J; Dugas, M

    2013-01-01

    The aim of this project is to develop a catalogue of competency-based learning objectives "Medical Informatics" for undergraduate medical education (abbreviated NKLM-MI in German). The development followed a multi-level annotation and consensus process. For each learning objective a reason why a physician needs this competence was required. In addition, each objective was categorized according to the competence context (A = covered by medical informatics, B = core subject of medical informatics, C = optional subject of medical informatics), the competence level (1 = referenced knowledge, 2 = applied knowledge, 3 = routine knowledge) and a CanMEDS competence role (medical expert, communicator, collaborator, manager, health advocate, professional, scholar). Overall 42 objectives in seven areas (medical documentation and information processing, medical classifications and terminologies, information systems in healthcare, health telematics and telemedicine, data protection and security, access to medical knowledge and medical signal-/image processing) were identified, defined and consented. With the NKLM-MI the competences in the field of medical informatics vital to a first year resident physician are identified, defined and operationalized. These competencies are consistent with the recommendations of the International Medical Informatics Association (IMIA). The NKLM-MI will be submitted to the National Competence-Based Learning Objectives for Undergraduate Medical Education. The next step is implementation of these objectives by the faculties.

  3. Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks

    Science.gov (United States)

    Furfaro, R.; Linares, R.; Gaylor, D.; Jah, M.; Walls, R.

    2016-09-01

    In this paper, we present an end-to-end approach that employs machine learning techniques and Ontology-based Bayesian Networks (BN) to characterize the behavior of resident space objects. State-of-the-Art machine learning architectures (e.g. Extreme Learning Machines, Convolutional Deep Networks) are trained on physical models to learn the Resident Space Object (RSO) features in the vectorized energy and momentum states and parameters. The mapping from measurements to vectorized energy and momentum states and parameters enables behavior characterization via clustering in the features space and subsequent RSO classification. Additionally, Space Object Behavioral Ontologies (SOBO) are employed to define and capture the domain knowledge-base (KB) and BNs are constructed from the SOBO in a semi-automatic fashion to execute probabilistic reasoning over conclusions drawn from trained classifiers and/or directly from processed data. Such an approach enables integrating machine learning classifiers and probabilistic reasoning to support higher-level decision making for space domain awareness applications. The innovation here is to use these methods (which have enjoyed great success in other domains) in synergy so that it enables a "from data to discovery" paradigm by facilitating the linkage and fusion of large and disparate sources of information via a Big Data Science and Analytics framework.

  4. Learning Mathematics by Designing, Programming, and Investigating with Interactive, Dynamic Computer-Based Objects

    Science.gov (United States)

    Marshall, Neil; Buteau, Chantal

    2014-01-01

    As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…

  5. RuleML-Based Learning Object Interoperability on the Semantic Web

    Science.gov (United States)

    Biletskiy, Yevgen; Boley, Harold; Ranganathan, Girish R.

    2008-01-01

    Purpose: The present paper aims to describe an approach for building the Semantic Web rules for interoperation between heterogeneous learning objects, namely course outlines from different universities, and one of the rule uses: identifying (in)compatibilities between course descriptions. Design/methodology/approach: As proof of concept, a rule…

  6. Depth Value Pre-Processing for Accurate Transfer Learning Based RGB-D Object Recognition

    DEFF Research Database (Denmark)

    Aakerberg, Andreas; Nasrollahi, Kamal; Rasmussen, Christoffer Bøgelund

    2017-01-01

    of an existing deeplearning based RGB-D object recognition model, namely the FusionNet proposed by Eitel et al. First, we showthat encoding the depth values as colorized surface normals is beneficial, when the model is initialized withweights learned from training on ImageNet data. Additionally, we show...

  7. A Conceptual Framework for Error Remediation with Multiple External Representations Applied to Learning Objects

    Science.gov (United States)

    Leite, Maici Duarte; Marczal, Diego; Pimentel, Andrey Ricardo; Direne, Alexandre Ibrahim

    2014-01-01

    This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This…

  8. Object-based implicit learning in visual search: perceptual segmentation constrains contextual cueing.

    Science.gov (United States)

    Conci, Markus; Müller, Hermann J; von Mühlenen, Adrian

    2013-07-09

    In visual search, detection of a target is faster when it is presented within a spatial layout of repeatedly encountered nontarget items, indicating that contextual invariances can guide selective attention (contextual cueing; Chun & Jiang, 1998). However, perceptual regularities may interfere with contextual learning; for instance, no contextual facilitation occurs when four nontargets form a square-shaped grouping, even though the square location predicts the target location (Conci & von Mühlenen, 2009). Here, we further investigated potential causes for this interference-effect: We show that contextual cueing can reliably occur for targets located within the region of a segmented object, but not for targets presented outside of the object's boundaries. Four experiments demonstrate an object-based facilitation in contextual cueing, with a modulation of context-based learning by relatively subtle grouping cues including closure, symmetry, and spatial regularity. Moreover, the lack of contextual cueing for targets located outside the segmented region was due to an absence of (latent) learning of contextual layouts, rather than due to an attentional bias towards the grouped region. Taken together, these results indicate that perceptual segmentation provides a basic structure within which contextual scene regularities are acquired. This in turn argues that contextual learning is constrained by object-based selection.

  9. Bayesian feature weighting for unsupervised learning, with application to object recognition

    OpenAIRE

    Carbonetto , Peter; De Freitas , Nando; Gustafson , Paul; Thompson , Natalie

    2003-01-01

    International audience; We present a method for variable selection/weighting in an unsupervised learning context using Bayesian shrinkage. The basis for the model parameters and cluster assignments can be computed simultaneous using an efficient EM algorithm. Applying our Bayesian shrinkage model to a complex problem in object recognition (Duygulu, Barnard, de Freitas and Forsyth 2002), our experiments yied good results.

  10. Category Specificity in Normal Episodic Learning: Applications to Object Recognition and Category-Specific Agnosia

    Science.gov (United States)

    Bukach, Cindy M.; Bub, Daniel N.; Masson, Michael E. J.; Lindsay, D. Stephen

    2004-01-01

    Studies of patients with category-specific agnosia (CSA) have given rise to multiple theories of object recognition, most of which assume the existence of a stable, abstract semantic memory system. We applied an episodic view of memory to questions raised by CSA in a series of studies examining normal observers' recall of newly learned attributes…

  11. An Analysis of Learning Objectives and Content Coverage in Introductory Psychology Syllabi

    Science.gov (United States)

    Homa, Natalie; Hackathorn, Jana; Brown, Carrie M.; Garczynski, Amy; Solomon, Erin D.; Tennial, Rachel; Sanborn, Ursula A.; Gurung, Regan A. R.

    2013-01-01

    Introductory psychology is one of the most popular undergraduate courses and often serves as the gateway to choosing psychology as an academic major. However, little research has examined the typical structure of introductory psychology courses. The current study examined student learning objectives (SLOs) and course content in introductory…

  12. Joint Attention and Object Learning in 5- and 7-Month-Old Infants

    Science.gov (United States)

    Cleveland, Allison; Schug, Mariah; Striano, Tricia

    2007-01-01

    We examined the effects of joint attention for object learning in 5- and 7-month-old infants. Infants interacted with an adult social partner who taught them about a novel toy in two conditions. In the "Joint Attention" condition, the adult spoke about the toy while alternating gaze between the infant and the toy, while in the…

  13. Diagram, a Learning Environment for Initiation to Object-Oriented Modeling with UML Class Diagrams

    Science.gov (United States)

    Py, Dominique; Auxepaules, Ludovic; Alonso, Mathilde

    2013-01-01

    This paper presents Diagram, a learning environment for object-oriented modelling (OOM) with UML class diagrams. Diagram an open environment, in which the teacher can add new exercises without constraints on the vocabulary or the size of the diagram. The interface includes methodological help, encourages self-correcting and self-monitoring, and…

  14. Design and Use of a Learning Object for Finding Complex Polynomial Roots

    Science.gov (United States)

    Benitez, Julio; Gimenez, Marcos H.; Hueso, Jose L.; Martinez, Eulalia; Riera, Jaime

    2013-01-01

    Complex numbers are essential in many fields of engineering, but students often fail to have a natural insight of them. We present a learning object for the study of complex polynomials that graphically shows that any complex polynomials has a root and, furthermore, is useful to find the approximate roots of a complex polynomial. Moreover, we…

  15. Development and Factor Analysis of an Instrument to Measure Preservice Teachers' Perceptions of Learning Objects

    Science.gov (United States)

    Sahin, Sami

    2010-01-01

    The purpose of this study was to develop a questionnaire to measure student teachers' perception of digital learning objects. The participants included 308 voluntary senior students attending courses in a college of education of a public university in Turkey. The items were extracted to their related factors by the principal axis factoring method.…

  16. Examining the Use of Web-Based Reusable Learning Objects by Animal and Veterinary Nursing Students

    Science.gov (United States)

    Chapman-Waterhouse, Emily; Silva-Fletcher, Ayona; Whittlestone, Kim David

    2016-01-01

    This intervention study examined the interaction of animal and veterinary nursing students with reusable learning objects (RLO) in the context of preparing for summative assessment. Data was collected from 199 undergraduates using quantitative and qualitative methods. Students accessed RLO via personal devices in order to reinforce taught…

  17. Development and Implementation Costs of Student Learning Objectives: Considerations for TIF Grantees

    Science.gov (United States)

    Fermanich, Mark; Carl, Brad; Finster, Matthew

    2015-01-01

    This brief explores the costs of developing and implementing Student Learning Objectives (SLOs) in order to help Teacher Incentive Fund (TIF) grantees interested in adopting SLOs anticipate and understand the costs of implementing them in a district or school. The brief focuses on the costs involved with the initial design and implementation of an…

  18. Experiences with Reusable E-Learning Objects: From Theory to Practice.

    Science.gov (United States)

    Muzio, Jeanette A.; Heins, Tanya; Mundell, Roger

    2002-01-01

    Explains reusable electronic learning objects (ELOs) that are stored in a database and discusses the practical application of creating and reusing ELOs at Royal Roads University (Canada). Highlights include ELOs and the instructional design of online courses; and examples of using templates to develop interactive ELOs. (Author/LRW)

  19. Practicing doctors' perceptions on new learning objectives for Vietnamese medical schools

    NARCIS (Netherlands)

    Hoat, L; Dung, DV; Wright, E.P.

    2008-01-01

    Background. As part of the process to develop more community-oriented medical teaching in Vietnam, eight medical schools prepared a set of standard learning objectives with attention to the needs of a doctor working with the community. Because they were prepared based on government documents and the

  20. Error-Driven Learning in Visual Categorization and Object Recognition: A Common-Elements Model

    Science.gov (United States)

    Soto, Fabian A.; Wasserman, Edward A.

    2010-01-01

    A wealth of empirical evidence has now accumulated concerning animals' categorizing photographs of real-world objects. Although these complex stimuli have the advantage of fostering rapid category learning, they are difficult to manipulate experimentally and to represent in formal models of behavior. We present a solution to the representation…

  1. A Learning Research Informed Design and Evaluation of a Web-Enhanced Object Oriented Programming Seminar

    Science.gov (United States)

    Georgantaki, Stavroula C.; Retalis, Symeon D.

    2007-01-01

    "Object-Oriented Programming" subject is included in the ACM Curriculum Guidelines for Undergraduate and Graduate Degree Programs in Computer Science as well as in Curriculum for K-12 Computer Science. In a few research studies learning problems and difficulties have been recorded, and therefore, specific pedagogical guidelines and…

  2. Designing Learning Object Repositories as Systems for Managing Educational Communities Knowledge

    Science.gov (United States)

    Sampson, Demetrios G.; Zervas, Panagiotis

    2013-01-01

    Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs) have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their…

  3. Cloud Computing and Multi Agent System to improve Learning Object Paradigm

    Directory of Open Access Journals (Sweden)

    Ana B. Gil

    2015-05-01

    Full Text Available The paradigm of Learning Object provides Educators and Learners with the ability to access an extensive number of learning resources. To do so, this paradigm provides different technologies and tools, such as federated search platforms and storage repositories, in order to obtain information ubiquitously and on demand. However, the vast amount and variety of educational content, which is distributed among several repositories, and the existence of various and incompatible standards, technologies and interoperability layers among repositories, constitutes a real problem for the expansion of this paradigm. This study presents an agent-based architecture that uses the advantages provided by Cloud Computing platforms to deal with the open issues on the Learning Object paradigm.

  4. Challenges of Transitioning to an e-Learning System with Learning Objects Capabilities

    Science.gov (United States)

    Raspopovic, Miroslava; Cvetanovic, Svetlana; Jankulovic, Aleksandar

    2016-01-01

    In order for higher education institutions, which implements blended and/or online learning to remain competitive and innovative it needs to keep up with the cutting edge technological and educational advances. This task is usually very difficult, keeping in mind the budget constraints that many institutions have. This usually implies that…

  5. Special Aspects of Learning Objectives Design for Disciplines in Engineering Education

    Directory of Open Access Journals (Sweden)

    Yu. B. Tsvetkov

    2015-01-01

    Full Text Available The article is devoted to a problem of learning objectives design for disciplines in engineering education. It is shown that the system of well defined objectives can form a basis of discipline content analysis, acquisition control and improvement.The detailed defining of clear objectives and designing forms and content of objectives which allow to estimate their achievement are considered.For this purpose the objectives should consider the level of learners, to designate result which they will be able to show after training, conditions and how well they will be able to make it.Some examples of objective formulations are provided which allow to show in an explicit form the results reached by a learner.It is shown that cognitive process dimension can be divided into groups of initial level of thinking (to remember, understand, apply and thinking of high level (to analyze, estimate, create.Thus knowledge dimension include the factual, conceptual, procedural and metacognitive knowledges.On the basis of cognitive process dimension and knowledge dimension in engineering education it is offered to form system of learning objectives on the basis of their twodimensional classification - taxonomy.Objectives examples for engineering discipline are given. They consider conditions of their achievement and criteria of execution for various combinations of cognitive process dimension and levels of knowledge dimension.For some engineering disciplines examples of learning objectives are formulated including their achievement and criterion of execution of the corresponding actions.The given results can form a basis for design of learning objectives at realization of a competence approach in modern engineering education.Further work in this direction preplan the analysis and approbation of two-dimensional matrix applicability for objectives design on examples of various engineering disciplines.It is of profound importance to use matrixes of well defined

  6. Objects Classification by Learning-Based Visual Saliency Model and Convolutional Neural Network.

    Science.gov (United States)

    Li, Na; Zhao, Xinbo; Yang, Yongjia; Zou, Xiaochun

    2016-01-01

    Humans can easily classify different kinds of objects whereas it is quite difficult for computers. As a hot and difficult problem, objects classification has been receiving extensive interests with broad prospects. Inspired by neuroscience, deep learning concept is proposed. Convolutional neural network (CNN) as one of the methods of deep learning can be used to solve classification problem. But most of deep learning methods, including CNN, all ignore the human visual information processing mechanism when a person is classifying objects. Therefore, in this paper, inspiring the completed processing that humans classify different kinds of objects, we bring forth a new classification method which combines visual attention model and CNN. Firstly, we use the visual attention model to simulate the processing of human visual selection mechanism. Secondly, we use CNN to simulate the processing of how humans select features and extract the local features of those selected areas. Finally, not only does our classification method depend on those local features, but also it adds the human semantic features to classify objects. Our classification method has apparently advantages in biology. Experimental results demonstrated that our method made the efficiency of classification improve significantly.

  7. Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences

    Science.gov (United States)

    2016-01-01

    Emerging studies indicate that several species such as corvids, apes and children solve ‘The Crow and the Pitcher’ task (from Aesop's Fables) in diverse conditions. Hidden beneath this fascinating paradigm is a fundamental question: by cumulatively interacting with different objects, how can an agent abstract the underlying cause–effect relations to predict and creatively exploit potential affordances of novel objects in the context of sought goals? Re-enacting this Aesop's Fable task on a humanoid within an open-ended ‘learning–prediction–abstraction’ loop, we address this problem and (i) present a brain-guided neural framework that emulates rapid one-shot encoding of ongoing experiences into a long-term memory and (ii) propose four task-agnostic learning rules (elimination, growth, uncertainty and status quo) that correlate predictions from remembered past experiences with the unfolding present situation to gradually abstract the underlying causal relations. Driven by the proposed architecture, the ensuing robot behaviours illustrated causal learning and anticipation similar to natural agents. Results further demonstrate that by cumulatively interacting with few objects, the predictions of the robot in case of novel objects converge close to the physical law, i.e. the Archimedes principle: this being independent of both the objects explored during learning and the order of their cumulative exploration. PMID:27466440

  8. Learning object location predictors with boosting and grammar-guided feature extraction

    Energy Technology Data Exchange (ETDEWEB)

    Eads, Damian Ryan [Los Alamos National Laboratory; Rosten, Edward [UNIV OF CAMBRIDGE; Helmbold, David [UC/SANTA CRUZ

    2009-01-01

    The authors present BEAMER: a new spatially exploitative approach to learning object detectors which shows excellent results when applied to the task of detecting objects in greyscale aerial imagery in the presence of ambiguous and noisy data. There are four main contributions used to produce these results. First, they introduce a grammar-guided feature extraction system, enabling the exploration of a richer feature space while constraining the features to a useful subset. This is specified with a rule-based generative grammer crafted by a human expert. Second, they learn a classifier on this data using a newly proposed variant of AdaBoost which takes into account the spatially correlated nature of the data. Third, they perform another round of training to optimize the method of converting the pixel classifications generated by boosting into a high quality set of (x,y) locations. lastly, they carefully define three common problems in object detection and define two evaluation criteria that are tightly matched to these problems. Major strengths of this approach are: (1) a way of randomly searching a broad feature space, (2) its performance when evaluated on well-matched evaluation criteria, and (3) its use of the location prediction domain to learn object detectors as well as to generate detections that perform well on several tasks: object counting, tracking, and target detection. They demonstrate the efficacy of BEAMER with a comprehensive experimental evaluation on a challenging data set.

  9. Improved object optimal synthetic description, modeling, learning, and discrimination by GEOGINE computational kernel

    Science.gov (United States)

    Fiorini, Rodolfo A.; Dacquino, Gianfranco

    2005-03-01

    GEOGINE (GEOmetrical enGINE), a state-of-the-art OMG (Ontological Model Generator) based on n-D Tensor Invariants for n-Dimensional shape/texture optimal synthetic representation, description and learning, was presented in previous conferences elsewhere recently. Improved computational algorithms based on the computational invariant theory of finite groups in Euclidean space and a demo application is presented. Progressive model automatic generation is discussed. GEOGINE can be used as an efficient computational kernel for fast reliable application development and delivery in advanced biomedical engineering, biometric, intelligent computing, target recognition, content image retrieval, data mining technological areas mainly. Ontology can be regarded as a logical theory accounting for the intended meaning of a formal dictionary, i.e., its ontological commitment to a particular conceptualization of the world object. According to this approach, "n-D Tensor Calculus" can be considered a "Formal Language" to reliably compute optimized "n-Dimensional Tensor Invariants" as specific object "invariant parameter and attribute words" for automated n-Dimensional shape/texture optimal synthetic object description by incremental model generation. The class of those "invariant parameter and attribute words" can be thought as a specific "Formal Vocabulary" learned from a "Generalized Formal Dictionary" of the "Computational Tensor Invariants" language. Even object chromatic attributes can be effectively and reliably computed from object geometric parameters into robust colour shape invariant characteristics. As a matter of fact, any highly sophisticated application needing effective, robust object geometric/colour invariant attribute capture and parameterization features, for reliable automated object learning and discrimination can deeply benefit from GEOGINE progressive automated model generation computational kernel performance. Main operational advantages over previous

  10. Alignment of learning objectives and assessments in therapeutics courses to foster higher-order thinking.

    Science.gov (United States)

    FitzPatrick, Beverly; Hawboldt, John; Doyle, Daniel; Genge, Terri

    2015-02-17

    To determine whether national educational outcomes, course objectives, and classroom assessments for 2 therapeutics courses were aligned for curricular content and cognitive processes, and if they included higher-order thinking. Document analysis and student focus groups were used. Outcomes, objectives, and assessment tasks were matched for specific therapeutics content and cognitive processes. Anderson and Krathwohl's Taxonomy was used to define higher-order thinking. Students discussed whether assessments tested objectives and described their thinking when responding to assessments. There were 7 outcomes, 31 objectives, and 412 assessment tasks. The alignment for content and cognitive processes was not satisfactory. Twelve students participated in the focus groups. Students thought more short-answer questions than multiple choice questions matched the objectives for content and required higher-order thinking. The alignment analysis provided data that could be used to reveal and strengthen the enacted curriculum and improve student learning.

  11. On hierarchical models for visual recognition and learning of objects, scenes, and activities

    CERN Document Server

    Spehr, Jens

    2015-01-01

    In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model...

  12. Perspectives of Introduction of the Mobile-Assisted Language Learning (MALL) Technology

    Science.gov (United States)

    Wagner, Monica-Nataliia Laurensovna; Donskaya, Maryana Vladimirovna; Kupriyanova, Milana Evgenievna; Ovezova, Umeda Akparovna

    2016-01-01

    Present article addresses methodological and technical (instrumental) aspects of creation and implementation of mobile-assisted learning, which is oriented to the process of foreign languages learning. We provide the interpretation of the main definitions of mobile-assisted learning, as well as propose recommendations for using mobile devices in…

  13. Is K-12 Blended Learning Disruptive? An Introduction to the Theory of Hybrids

    Science.gov (United States)

    Christensen, Clayton M.; Horn, Michael B.; Staker, Heather

    2013-01-01

    The Clayton Christensen Institute for Disruptive Innovation, formerly the Innosight Institute, has published three papers describing the rise of K-12 blended learning--that is, formal education programs that combine online learning and brick-and-mortar schools. This fourth paper is the first to analyze blended learning through the lens of…

  14. CARTOONS KILL: casualties in animated recreational theater in an objective observational new study of kids’ introduction to loss of life

    Science.gov (United States)

    Kingsbury, Mila; Weeks, Murray; Ataullahjan, Anushka; Bélair, Marc-André; Dykxhoorn, Jennifer; Hynes, Katie; Loro, Alexandra; Martin, Michael S; Naicker, Kiyuri; Pollock, Nathaniel; Rusu, Corneliu; Kirkbride, James B

    2014-01-01

    Objectives To assess the risk of on-screen death of important characters in children’s animated films versus dramatic films for adults. Design Kaplan-Meier survival analysis with Cox regression comparing time to first on-screen death. Setting Authors’ television screens, with and without popcorn. Participants Important characters in 45 top grossing children’s animated films and a comparison group of 90 top grossing dramatic films for adults. Main outcome measures Time to first on-screen death. Results Important characters in children’s animated films were at an increased risk of death compared with characters in dramatic films for adults (hazard ratio 2.52, 95% confidence interval 1.30 to 4.90). Risk of on-screen murder of important characters was higher in children’s animated films than in comparison films (2.78, 1.02 to 7.58). Conclusions Rather than being the innocuous form of entertainment they are assumed to be, children’s animated films are rife with on-screen death and murder. PMID:25515715

  15. The Computer Book of the Internal Medicine Resident: competence acquisition and achievement of learning objectives.

    Science.gov (United States)

    Oristrell, J; Oliva, J C; Casanovas, A; Comet, R; Jordana, R; Navarro, M

    2014-01-01

    The Computer Book of the Internal Medicine resident (CBIMR) is a computer program that was validated to analyze the acquisition of competences in teams of Internal Medicine residents. To analyze the characteristics of the rotations during the Internal Medicine residency and to identify the variables associated with the acquisition of clinical and communication skills, the achievement of learning objectives and resident satisfaction. All residents of our service (n=20) participated in the study during a period of 40 months. The CBIMR consisted of 22 self-assessment questionnaires specific for each rotation, with items on services (clinical workload, disease protocolization, resident responsibilities, learning environment, service organization and teamwork) and items on educational outcomes (acquisition of clinical and communication skills, achievement of learning objectives, overall satisfaction). Associations between services features and learning outcomes were analyzed using bivariate and multivariate analysis. An intense clinical workload, high resident responsibilities and disease protocolization were associated with the acquisition of clinical skills. High clinical competence and teamwork were both associated with better communication skills. Finally, an adequate learning environment was associated with increased clinical competence, the achievement of educational goals and resident satisfaction. Potentially modifiable variables related with the operation of clinical services had a significant impact on the acquisition of clinical and communication skills, the achievement of educational goals, and resident satisfaction during the specialized training in Internal Medicine. Copyright © 2013 Elsevier España, S.L. All rights reserved.

  16. E-learning teaches attendings "how to" objectively assess pediatric urology trainees' surgery skills for orchiopexy.

    Science.gov (United States)

    Fernandez, Nicolas; Maizels, Max; Farhat, Walid; Smith, Edwin; Liu, Dennis; Chua, Michael; Bhanji, Yasin

    2018-04-01

    Established methods to train pediatric urology surgery by residency training programs require updating in response to administrative changes such as new, reduced trainee duty hours. Therefore, new objective methods must be developed to teach trainees. We approached this need by creating e-learning to teach attendings objective assessment of trainee skills using the Zwisch scale, an established assessment tool. The aim of this study was to identify whether or not e-learning is an appropriate platform for effective teaching of this assessment tool, by assessing inter-rater correlation of assessments made by the attendings after participation in the e-learning. Pediatric orchiopexy was used as the index case. An e-learning tool was created to teach attending surgeons objective assessment of trainees' surgical skills. First, e-learning content was created which showed the assessment method videotape of resident surgery done in the operating room. Next, attendings were enrolled to e-learn this method. Finally, the ability of enrollees to assess resident surgery skill performance was tested. Namely, test video was made showing a trainee performing inguinal orchiopexy. All enrollees viewed the same online videos. Assessments of surgical skills (Zwisch scale) were entered into an online survey. Data were analyzed by intercorrelation coefficient kappa analysis (strong correlation was ICC ≥ 0.7). A total of 11 attendings were enrolled. All accessed the online learning and then made assessments of surgical skills trainees showed on videotapes. The e-learning comprised three modules: 1. "Core concepts," in which users learned the assessment tool methods; 2. "Learn to assess," in which users learned how to assess by watching video clips, explaining the assessment method; and 3. "Test," in which users tested their skill at making assessments by watching video clips and then actively inputting their ratings of surgical and global skills as viewed in the video clips (Figure

  17. Lessons Learned From Managing the Planning and Implementation of Inactivated Polio Vaccine Introduction in Support of the Polio Endgame.

    Science.gov (United States)

    Zipursky, Simona; Patel, Manish; Farrell, Margaret; Gonzalez, Alejandro Ramirez; Kachra, Tasleem; Folly, Yann; Kurji, Feyrouz; Veira, Chantal Laroche; Wootton, Emily; Hampton, Lee M

    2017-07-01

    The Immunization Systems Management Group (IMG) was established as a time-limited entity, responsible for the management and coordination of Objective 2 of the Polio Eradication and Endgame Strategic Plan. This objective called for the introduction of at least 1 dose of inactivated polio vaccine (IPV) into the routine immunization programs of all countries using oral polio vaccine (OPV) only. Despite global vaccine shortages, which limited countries' abilities to access IPV in a timely manner, 105 of 126 countries using OPV only introduced IPV within a 2.5-year period, making it the fastest rollout of a new vaccine in history. This achievement can be attributed to several factors, including the coordination work of the IMG; high-level engagement and advocacy across partners; the strong foundations of the Expanded Programme on Immunization at all levels; Gavi, the Vaccine Alliance's vaccine introduction experiences and mechanisms; innovative approaches; and proactive communications. In many ways, the IMG's work on IPV introduction can serve as a model for other vaccine introductions, especially in an accelerated context. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America.

  18. Development of Learning Virtual Objects as a Strategy to Foster Student Retention in Higher Education

    Directory of Open Access Journals (Sweden)

    Yois S. Pascuas Rengifo

    2015-12-01

    Full Text Available Rev.esc.adm.neg One of the problems that the Colombian higher education system is facing is the problem of student desertion, shwoing that a great amount of students leave their university studies during the first semesters. For this reason, the National Education Ministry and Universidad de la Amazonia implement a new strategy to foster student retention and graduation through academic levelling. This paper shows eight learning virtual objects from different learning áreas, applying technological tolos to design didactic interactive and creative environments.

  19. Learning Clinical Procedures Through Internet Digital Objects: Experience of Undergraduate Students Across Clinical Faculties.

    Science.gov (United States)

    Li, Tse Yan; Gao, Xiaoli; Wong, Kin; Tse, Christine Shuk Kwan; Chan, Ying Yee

    2015-04-14

    Various digital learning objects (DLOs) are available via the World Wide Web, showing the flow of clinical procedures. It is unclear to what extent these freely accessible Internet DLOs facilitate or hamper students' acquisition of clinical competence. This study aimed to understand the experience of undergraduate students across clinical disciplines-medicine, dentistry, and nursing-in using openly accessible Internet DLOs, and to investigate the role of Internet DLOs in facilitating their clinical learning. Mid-year and final-year groups were selected from each undergraduate clinical degree program of the University of Hong Kong-Bachelor of Medicine and Bachelor of Surgery (MBBS), Bachelor of Dental Surgery (BDS), and Bachelor of Nursing (BNurs). All students were invited to complete a questionnaire on their personal and educational backgrounds, and their experiences and views on using Internet DLOs in learning clinical procedures. The questionnaire design was informed by the findings of six focus groups. Among 439 respondents, 97.5% (428/439) learned a variety of clinical procedures through Internet DLOs. Most nursing students (107/122, 87.7%) learned preventive measures through Internet DLOs, with a lower percentage of medical students (99/215, 46.0%) and dental students (43/96, 45%) having learned them this way (both Plearning in the planned curriculum. This trend calls for a transformation of the educator's role from dispensing knowledge to guidance and support.

  20. Linking actions and objects: Context-specific learning of novel weight priors.

    Science.gov (United States)

    Trewartha, Kevin M; Flanagan, J Randall

    2017-06-01

    Distinct explicit and implicit memory processes support weight predictions used when lifting objects and making perceptual judgments about weight, respectively. The first time that an object is encountered weight is predicted on the basis of learned associations, or priors, linking size and material to weight. A fundamental question is whether the brain maintains a single, global representation of priors, or multiple representations that can be updated in a context specific way. A second key question is whether the updating of priors, or the ability to scale lifting forces when repeatedly lifting unusually weighted objects requires focused attention. To investigate these questions we compared the adaptability of weight predictions used when lifting objects and judging their weights in different groups of participants who experienced size-weight inverted objects passively (with the objects placed on the hands) or actively (where participants lift the objects) under full or divided attention. To assess weight judgments we measured the size-weight illusion after every 20 trials of experience with the inverted objects both passively and actively. The attenuation of the illusion that arises when lifting inverted object was found to be context-specific such that the attenuation was larger when the mode of interaction with the inverted objects matched the method of assessment of the illusion. Dividing attention during interaction with the inverted objects had no effect on attenuation of the illusion, but did slow the rate at which lifting forces were scaled to the weight inverted objects. These findings suggest that the brain stores multiple representations of priors that are context specific, and that focused attention is important for scaling lifting forces, but not for updating weight predictions used when judging object weight. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. DROpS: an object of learning in computer simulation of discrete events

    Directory of Open Access Journals (Sweden)

    Hugo Alves Silva Ribeiro

    2015-09-01

    Full Text Available This work presents the “Realistic Dynamics Of Simulated Operations” (DROpS, the name given to the dynamics using the “dropper” device as an object of teaching and learning. The objective is to present alternatives for professors teaching content related to simulation of discrete events to graduate students in production engineering. The aim is to enable students to develop skills related to data collection, modeling, statistical analysis, and interpretation of results. This dynamic has been developed and applied to the students by placing them in a situation analogous to a real industry, where various concepts related to computer simulation were discussed, allowing the students to put these concepts into practice in an interactive manner, thus facilitating learning

  2. Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors

    Directory of Open Access Journals (Sweden)

    Monica Villaverde

    2015-11-01

    Full Text Available The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

  3. Construction and validation of a virtual learning object on intestinal elimination stoma

    Directory of Open Access Journals (Sweden)

    Cecílio Soares Rodrigues Braga

    Full Text Available Objective.To construct and validate a virtual learning object (VLO on intestinal elimination stoma. Methods. Applied, descriptive and quantitative study. In 2014, eight stoma therapists and eight experts in computer science took part of the research. The VLO included four steps: i planning, ii construction of VLO and changes of content; iii development of dynamic, and iv conclusion and analysis. The VLO was inserted into the Moodle virtual learning environment. The ergonomic and pedagogical validation of the VLO was performed. Results. The experts appreciated the VLO satisfactorily, and scored it between good and full agreement. Conclusion. The VLO on intestinal elimination stoma is a tool that can be implemented at undergraduate programs in nursing and continuing education programs for nurses in clinical practice, contributing significantly to improve the theoretical skills necessary for the care of ostomized people safely, with quality and enabling self-care.

  4. Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors.

    Science.gov (United States)

    Villaverde, Monica; Perez, David; Moreno, Felix

    2015-11-17

    The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

  5. Multi-agent system for Knowledge-based recommendation of Learning Objects

    Directory of Open Access Journals (Sweden)

    Paula Andrea RODRÍGUEZ MARÍN

    2015-12-01

    Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

  6. Introduction of subsidisation in nascent climate-friendly learning technologies and evaluation of its effectiveness

    International Nuclear Information System (INIS)

    Rout, Ullash K.; Akimoto, Keigo; Sano, Fuminori; Tomoda, Toshimasa

    2010-01-01

    Given its importance as a practical phenomenon underlying the progress of learning technologies, attention should be paid to the role of subsidisation in learning theory, particularly in the case of nascent climate-related sociable learning technologies, in order to examine its benefits. Thus, this study focuses on subsidy procurement of energy technologies in several economies in the context of the component learning track in endogenous global clusters in order to suggest improvements to the adoption mechanism and examine the climate stabilization constraint. At the same time, the study attempts to determine the global progress ratio of the lithium-ion battery in order to analyse various endogenous learning scenarios for hybrid technologies. An integrated energy system model with highly disaggregated global regions (DNE21+) is used to execute this research in a medium time frame. Subsidisation of the learning track of battery technology encourages greater development of plug-in hybrid vehicles, promotes early diffusion of hybrid technologies, and relieves heavy dependency on crude oil and biofuels. The subsidies in the common learning domains in few economies benefit the nearby economies because of the technology spillover that occurs through numerous cross-feedback learning mechanisms. Endogenous learning with subsidies augments diffusion potentials, abates emissions, and shifts sectoral emissions.

  7. The Role of Reusable Learning Objects in Occupational Therapy Entry-Level Education

    Directory of Open Access Journals (Sweden)

    Bryan M. Gee

    2014-10-01

    Full Text Available Out of early research, Cisco Systems (1999 have built an impressive foundation that advocates for reusable learning objects (RLOs. As the need for online methods for delivering both formal and informal educational content has increased, the prospect of greater influence through carefully constructed RLOs has grown. RLOs are any digital resource that can be used and reused to enhance online learning. RLOs typically are small, discrete, self-contained digital objects that may be sequenced, combined, and used within a variety of instructional activities. RLOs have been implemented in nursing, pharmacy, and physician assistant programs. However, there is a lack of literature regarding RLOs in occupational therapy education. An attitudinal survey was administered to occupational therapy students after they had used an RLO focused on goal writing. Student preferences toward RLO content, instructional design, and eLearning were generally positive. Nearly three-quarters of the students who responded to the survey indicated that the RLO presented was beneficial. All respondents noted that they would use the RLO for future occupational therapy courses. It is argued that incorporating RLOs offers a cost-effective, efficient learning tool, and also adds credibility to the given curriculum program as being innovative with instructing occupational-therapy related concepts.

  8. Active learning in the lecture theatre using 3D printed objects [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    David P. Smith

    2016-06-01

    Full Text Available The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme’s active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student.

  9. Active learning in the lecture theatre using 3D printed objects.

    Science.gov (United States)

    Smith, David P

    2016-01-01

    The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme's active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student.

  10. Embedded or linked learning objects: Implications for content development, course design and classroom use

    Directory of Open Access Journals (Sweden)

    Gail Kopp

    2007-06-01

    Full Text Available This research explores the idea of embedding and linking to existing content in learning object repositories and investigates teacher-designer use of learning objects within one high school mathematics course in an online school. This qualitative case study supports and extends the learning object literature, and brings forward context-specific examples of issues around repository design, autonomy and self-containment, technical support and granularity. Moreover, these findings have implications for building learning objects and repositories that could better support teachers in their instructional design and pedagogical decision-making. Résumé : La présente recherche étudie la possibilité d’effectuer un emboîtement et d’établir des liens avec le contenu existant dans les référentiels sur les objets d’apprentissage et explore l’utilisation par les enseignants-concepteurs des objets d’apprentissage au sein d’un cours de mathématique du secondaire donné dans une école en ligne. Cette étude de cas qualitative appuie et vise la littérature sur les objets d’apprentissage et met en avant plan des exemples de questions touchant la conception de référentiels, l’autonomie et l’indépendance, le soutien technique et la granularité propres au contexte. De plus, ces conclusions ont des répercussions sur l’élaboration d’objets et de référentiels d’apprentissage qui pourraient mieux appuyer les enseignants dans le cadre de leur conception pédagogique et de leur prise de décision touchant l’enseignement.

  11. Enhancing the strategic management of practice learning through the introduction of the role of Learning Environment Manager.

    Science.gov (United States)

    Congdon, Graham; Baker, Tracey; Cheesman, Amanda

    2013-03-01

    This paper describes a process evaluation project designed to enhance the strategic management of practice learning within a large Hospital in the North of England. The aim of the project was to introduce the role of the Learning Environment Manager with dedicated responsibility for practice learning of undergraduate student nurses within the Hospital's 49 practice-settings. Whilst aspects of this role were already evident in several of these settings, the project sought to locate and standardise responsibilities related to the organisation and management of learning and teaching in practice explicitly within the existing staffing structure of each practice-setting. Focus group interviews were used to explore significant aspects of the project with key stakeholder groups comprising Learning Environment Managers, the Hospital Clinical Educator, Hospital Department Managers, Ward Managers, Mentors, University Link Lecturers and undergraduate Student Nurses. Interview data were analysed using thematic content analysis. The findings of the project suggest that the Learning Environment Manager role affords providers of practice learning with a robust approach to establish organisation-wide benchmarks that standardise the strategic management of practice learning in collaboration with partner Universities. The role incorporated many operational activities previously undertaken by the Hospital Clinical Educator, thus enabling the Hospital Clinical Educator to make a more strategic contribution to the on-going quality monitoring and enhancement of practice learning across the Hospital. The Learning Environment Manager role was found to provide mentors with high levels of support which in turn helped to promote consistent, positive and holistic practice learning experiences for undergraduate student nurses across the Hospital. Importantly, the role offers a potent catalyst for nurses in practice to regain responsibility for practice learning and re-establish the value of

  12. Social interaction facilitates word learning in preverbal infants: Word-object mapping and word segmentation.

    Science.gov (United States)

    Hakuno, Yoko; Omori, Takahide; Yamamoto, Jun-Ichi; Minagawa, Yasuyo

    2017-08-01

    In natural settings, infants learn spoken language with the aid of a caregiver who explicitly provides social signals. Although previous studies have demonstrated that young infants are sensitive to these signals that facilitate language development, the impact of real-life interactions on early word segmentation and word-object mapping remains elusive. We tested whether infants aged 5-6 months and 9-10 months could segment a word from continuous speech and acquire a word-object relation in an ecologically valid setting. In Experiment 1, infants were exposed to a live tutor, while in Experiment 2, another group of infants were exposed to a televised tutor. Results indicate that both younger and older infants were capable of segmenting a word and learning a word-object association only when the stimuli were derived from a live tutor in a natural manner, suggesting that real-life interaction enhances the learning of spoken words in preverbal infants. Copyright © 2017 Elsevier Inc. All rights reserved.

  13. Students' Perceptions of the Introduction of a Blended Learning Environment: An Exploratory Case Study

    Science.gov (United States)

    Osgerby, Julia

    2013-01-01

    Virtual Learning Environments (VLE) provide the opportunity to deliver blended learning approaches that combine mixes of Information and Communications Technology (ICT) with various delivery methods and media. In 2008 and 2009, the University of Winchester in the UK redesigned a variety of accounting and financial management modules for…

  14. Learning Activity Packets for Milling Machines. Unit I--Introduction to Milling Machines.

    Science.gov (United States)

    Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

    This learning activity packet (LAP) outlines the study activities and performance tasks covered in a related curriculum guide on milling machines. The course of study in this LAP is intended to help students learn to identify parts and attachments of vertical and horizontal milling machines, identify work-holding devices, state safety rules, and…

  15. The learning curve associated with the introduction of the subcutaneous implantable defibrillator

    NARCIS (Netherlands)

    Knops, Reinoud E.; Brouwer, Tom F.; Barr, Craig S.; Theuns, Dominic A.; Boersma, Lucas; Weiss, Raul; Neuzil, Petr; Scholten, Marcoen; Lambiase, Pier D.; Leon, Angel R.; Hood, Margaret; Jones, Paul W.; Wold, Nicholas; Grace, Andrew A.; Olde Nordkamp, Louise R. A.; Burke, Martin C.

    2016-01-01

    Aims The subcutaneous implantable cardioverter defibrillator (S-ICD) was introduced to overcome complications related to transvenous leads. Adoption of the S-ICD requires implanters to learn a new implantation technique. The aim of this study was to assess the learning curve for S-ICD implanters

  16. The learning curve associated with the introduction of the subcutaneous implantable defibrillator

    NARCIS (Netherlands)

    R.E. Knops (Reinoud); T.F. Brouwer (Tom F.); C.S. Barr (Craig); D.A.M.J. Theuns (Dominic); L. Boersma (Lucas); R. Weiss (Ram); P. Neuzil (Petr); M.F. Scholten (Marcoen); P.D. Lambiase (Pier); A. Leon (Angel); A.M. Hood (Margaret); P. Jones; Wold, N. (Nicholas); Grace, A.A. (Andrew A.); L.R.A. Olde Nordkamp (Louise R.A.); M.C. Burke (Martin)

    2016-01-01

    textabstractAims: The subcutaneous implantable cardioverter defibrillator (S-ICD) was introduced to overcome complications related to transvenous leads. Adoption of the S-ICD requires implanters to learn a new implantation technique. The aim of this study was to assess the learning curve for S-ICD

  17. Contributions of Film Introductions and Film Summaries to Learning from Instructional Films.

    Science.gov (United States)

    Lathrop, C. W., Jr.; Norford, C. A.

    An exploratory study of the contribution to learning of typical introductory and summarizing sequences in instructional films underlined the need for further experimental work to determine what kinds of introductory and concluding sequences are most useful in promoting learning from films. The first part of the study was concerned with film…

  18. Machine learning in infrared object classification - an all-sky selection of YSO candidates

    Science.gov (United States)

    Marton, Gabor; Zahorecz, Sarolta; Toth, L. Viktor; Magnus McGehee, Peregrine; Kun, Maria

    2015-08-01

    Object classification is a fundamental and challenging problem in the era of big data. I will discuss up-to-date methods and their application to classify infrared point sources.We analysed the ALLWISE catalogue, the most recent public source catalogue of the Wide-field Infrared Survey Explorer (WISE) to compile a reliable list of Young Stellar Object (YSO) candidates. We tested and compared classical and up-to-date statistical methods as well, to discriminate source types like extragalactic objects, evolved stars, main sequence stars, objects related to the interstellar medium and YSO candidates by using their mid-IR WISE properties and associated near-IR 2MASS data.In the particular classification problem the Support Vector Machines (SVM), a class of supervised learning algorithm turned out to be the best tool. As a result we classify Class I and II YSOs with >90% accuracy while the fraction of contaminating extragalactic objects remains well below 1%, based on the number of known objects listed in the SIMBAD and VizieR databases. We compare our results to other classification schemes from the literature and show that the SVM outperforms methods that apply linear cuts on the colour-colour and colour-magnitude space. Our homogenous YSO candidate catalog can serve as an excellent pathfinder for future detailed observations of individual objects and a starting point of statistical studies that aim to add pieces to the big picture of star formation theory.

  19. Grids in topographic maps reduce distortions in the recall of learned object locations.

    Science.gov (United States)

    Edler, Dennis; Bestgen, Anne-Kathrin; Kuchinke, Lars; Dickmann, Frank

    2014-01-01

    To date, it has been shown that cognitive map representations based on cartographic visualisations are systematically distorted. The grid is a traditional element of map graphics that has rarely been considered in research on perception-based spatial distortions. Grids do not only support the map reader in finding coordinates or locations of objects, they also provide a systematic structure for clustering visual map information ("spatial chunks"). The aim of this study was to examine whether different cartographic kinds of grids reduce spatial distortions and improve recall memory for object locations. Recall performance was measured as both the percentage of correctly recalled objects (hit rate) and the mean distance errors of correctly recalled objects (spatial accuracy). Different kinds of grids (continuous lines, dashed lines, crosses) were applied to topographic maps. These maps were also varied in their type of characteristic areas (LANDSCAPE) and different information layer compositions (DENSITY) to examine the effects of map complexity. The study involving 144 participants shows that all experimental cartographic factors (GRID, LANDSCAPE, DENSITY) improve recall performance and spatial accuracy of learned object locations. Overlaying a topographic map with a grid significantly reduces the mean distance errors of correctly recalled map objects. The paper includes a discussion of a square grid's usefulness concerning object location memory, independent of whether the grid is clearly visible (continuous or dashed lines) or only indicated by crosses.

  20. Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects

    Directory of Open Access Journals (Sweden)

    Di Feng

    2018-02-01

    Full Text Available Reusing the tactile knowledge of some previously-explored objects (prior objects helps us to easily recognize the tactual properties of new objects. In this paper, we enable a robotic arm equipped with multi-modal artificial skin, like humans, to actively transfer the prior tactile exploratory action experiences when it learns the detailed physical properties of new objects. These experiences, or prior tactile knowledge, are built by the feature observations that the robot perceives from multiple sensory modalities, when it applies the pressing, sliding, and static contact movements on objects with different action parameters. We call our method Active Prior Tactile Knowledge Transfer (APTKT, and systematically evaluated its performance by several experiments. Results show that the robot improved the discrimination accuracy by around 10 % when it used only one training sample with the feature observations of prior objects. By further incorporating the predictions from the observation models of prior objects as auxiliary features, our method improved the discrimination accuracy by over 20 % . The results also show that the proposed method is robust against transferring irrelevant prior tactile knowledge (negative knowledge transfer.

  1. Object learning improves feature extraction but does not improve feature selection.

    Directory of Open Access Journals (Sweden)

    Linus Holm

    Full Text Available A single glance at your crowded desk is enough to locate your favorite cup. But finding an unfamiliar object requires more effort. This superiority in recognition performance for learned objects has at least two possible sources. For familiar objects observers might: 1 select more informative image locations upon which to fixate their eyes, or 2 extract more information from a given eye fixation. To test these possibilities, we had observers localize fragmented objects embedded in dense displays of random contour fragments. Eight participants searched for objects in 600 images while their eye movements were recorded in three daily sessions. Performance improved as subjects trained with the objects: The number of fixations required to find an object decreased by 64% across the 3 sessions. An ideal observer model that included measures of fragment confusability was used to calculate the information available from a single fixation. Comparing human performance to the model suggested that across sessions information extraction at each eye fixation increased markedly, by an amount roughly equal to the extra information that would be extracted following a 100% increase in functional field of view. Selection of fixation locations, on the other hand, did not improve with practice.

  2. Small Schools Student Learning Objectives, 9-12: Mathematics, Reading, Reading in the Content Areas, Language Arts.

    Science.gov (United States)

    Nelson, JoAnne, Ed.; Hartl, David, Ed.

    Designed by Washington curriculum specialists and secondary teachers to assist teachers in small schools with the improvement of curriculum and instruction and to aid smaller districts lacking curriculum personnel to comply with Washington's Student Learning Objectives Law, this handbook contains learning objectives in the areas of language arts,…

  3. Video Cases in Teacher Education: A review study on intended and achieved learning objectives by video cases

    NARCIS (Netherlands)

    Geerts, Walter; Van der Werff, Anne; Hummel, Hans; Van Geert, Paul

    2014-01-01

    This literature review focuses on the use of video cases in the education of preservice teachers as a means of achieving higher order learning objectives that are necessary for gaining situated knowledge. An overview of both intended and achieved learning objectives in relevant studies involving

  4. Learning objects? Nurse educators' views on using patients for student learning : ethics and consent.

    Science.gov (United States)

    Torrance, C; Mansell, I; Wilson, C

    2012-11-01

    This study explored the views of nursing lecturers concerning the use of patients in nursing education, particularly in light of the development of additional learning opportunities such as clinical simulation. Focus group interviews involving 19 educators from one school of nursing in the United Kingdom were held. An interview schedule was developed by the study team from the findings of a focused literature review of the area. The focus groups were audio-taped and transcribed into NVivo (version 8) for analysis and identification of emergent themes. Four major categories emerged from the data analysis: clinical placement; patient consent; educator conflict; and developing competency. The themes of clinical placement and patient consent are presented in this paper. Clinical placement revealed two sub-themes: historical custom and practice and safety. Four sub-themes emerged from the theme of patient consent: informed consent; implied consent; capacity to consent; and patients' value of student involvement in their care. Educators believed that patients benefit from being cared for by well-qualified nurses and to achieve this it is necessary for patients to participate in clinical training. The predominant view seemed to be one of historical necessity; essentially, it has always been done that way so it has to continue that way. There was an awareness of the need for staff and students to consider the patient's rights and wishes, but the prevailing sentiment seemed to be that informed consent and choice were secondary to patient safety and the need to train student nurses. There is some conflict between the need for educating health professions and the Kantian view of never using the patients as a means to an end. Using patients for nursing education may be ethical as long as the patient is fully informed and involved in the decision-making process.

  5. Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning.

    Science.gov (United States)

    Huang, Chang-Qin; Yang, Shang-Ming; Pan, Yan; Lai, Han-Jiang

    2018-09-01

    Learning-based hashing is a leading approach of approximate nearest neighbor search for large-scale image retrieval. In this paper, we develop a deep supervised hashing method for multi-label image retrieval, in which we propose to learn a binary "mask" map that can identify the approximate locations of objects in an image, so that we use this binary "mask" map to obtain length-limited hash codes which mainly focus on an image's objects but ignore the background. The proposed deep architecture consists of four parts: 1) a convolutional sub-network to generate effective image features; 2) a binary "mask" sub-network to identify image objects' approximate locations; 3) a weighted average pooling operation based on the binary "mask" to obtain feature representations and hash codes that pay most attention to foreground objects but ignore the background; and 4) the combination of a triplet ranking loss designed to preserve relative similarities among images and a cross entropy loss defined on image labels. We conduct comprehensive evaluations on four multi-label image data sets. The results indicate that the proposed hashing method achieves superior performance gains over the state-of-the-art supervised or unsupervised hashing baselines.

  6. Problem- and case-based learning in science: an introduction to distinctions, values, and outcomes.

    Science.gov (United States)

    Allchin, Douglas

    2013-01-01

    Case-based learning and problem-based learning have demonstrated great promise in reforming science education. Yet an instructor, in newly considering this suite of interrelated pedagogical strategies, faces a number of important instructional choices. Different features and their related values and learning outcomes are profiled here, including: the level of student autonomy; instructional focus on content, skills development, or nature-of-science understanding; the role of history, or known outcomes; scope, clarity, and authenticity of problems provided to students; extent of collaboration; complexity, in terms of number of interpretive perspectives; and, perhaps most importantly, the role of applying versus generating knowledge.

  7. INTRODUCTION OF DISTANCE LEARNING IN EDUCATIONAL PROCESS AT PREPARATION OF INFORMATION TECHNOLOGIES SPECIALISTS

    Directory of Open Access Journals (Sweden)

    Olga R. Harbych-Moshora

    2015-02-01

    Full Text Available Today higher educational institutions should prepare a specialist, who is able to work successfully in globalized market conditions. Accent is made stronger on universal preparation of graduate student and his adaptation to jobs market, as well as on personal orientation of educational process and its informatization. The article considers a concept of distance learning technologies and their support systems. Designed system of distance learning for IT-specialists preparation based on a platform Moodle is a result of the study. The system ensures hierarchic organization of learning courses thanks to using an interactive multimedia clips in Adobe Flash format. As well as there is a possibility to organize various forms of learning and knowledge control.

  8. An introduction to electronic learning and its use to address challenges in surgical training.

    Science.gov (United States)

    Baran, Szczepan W; Johnson, Elizabeth J; Kehler, James

    2009-06-01

    The animal research community faces a shortage of surgical training opportunities along with an increasing demand for expertise in surgical techniques. One possible means of overcoming this challenge is the use of computer-based or electronic learning (e-learning) to disseminate material to a broad range of animal users. E-learning platforms can take many different forms, ranging from simple text documents that are posted online to complex virtual courses that incorporate dynamic video or audio content and in which students and instructors can interact in real time. The authors present an overview of e-learning and discuss its potential benefits as a supplement to hands-on rodent surgical training. They also discuss a few basic considerations in developing and implementing electronic courses.

  9. Teaching and Learning with Mobile Technology: A Qualitative Explorative Study about the Introduction of Tablet Devices in Secondary Education.

    Science.gov (United States)

    Montrieux, Hannelore; Vanderlinde, Ruben; Schellens, Tammy; De Marez, Lieven

    2015-01-01

    This paper investigates teachers' and students' perceptions concerning the impact of using tablet devices for teaching and learning purposes. An explorative focus group study was conducted with teachers (n = 18) and students (n = 39) in a secondary school that has implemented tablet devices since 2012. The general finding of this study shows that the use of tablet devices in the classroom setting has an impact on both teaching and learning practices. The results suggest that teachers can be divided into two categories: the innovative teachers and the instrumental teachers. Innovative teachers attempt to shift from a teacher-centered to a learning-centered approach. They have changed their teaching style by transforming lessons in accordance with the advantages tablet computers can offer. Instrumental teachers seem to use the device as a 'book behind glass'. The distinction between the two groups has consequences for both the way courses are given and how students experience them. In general, the introduction of tablet devices entails a shift in the way students learn, as the devices provide interactive, media-rich, and exciting new environments. The results of this study indicate that policy makers should consider introducing technical and pedagogical support in order to facilitate both teachers' and students' understanding of the full potential of this kind of technology in education.

  10. Teaching and Learning with Mobile Technology: A Qualitative Explorative Study about the Introduction of Tablet Devices in Secondary Education

    Science.gov (United States)

    Montrieux, Hannelore; Vanderlinde, Ruben; Schellens, Tammy; De Marez, Lieven

    2015-01-01

    This paper investigates teachers’ and students’ perceptions concerning the impact of using tablet devices for teaching and learning purposes. An explorative focus group study was conducted with teachers (n = 18) and students (n = 39) in a secondary school that has implemented tablet devices since 2012. The general finding of this study shows that the use of tablet devices in the classroom setting has an impact on both teaching and learning practices. The results suggest that teachers can be divided into two categories: the innovative teachers and the instrumental teachers. Innovative teachers attempt to shift from a teacher-centered to a learning-centered approach. They have changed their teaching style by transforming lessons in accordance with the advantages tablet computers can offer. Instrumental teachers seem to use the device as a ‘book behind glass’. The distinction between the two groups has consequences for both the way courses are given and how students experience them. In general, the introduction of tablet devices entails a shift in the way students learn, as the devices provide interactive, media-rich, and exciting new environments. The results of this study indicate that policy makers should consider introducing technical and pedagogical support in order to facilitate both teachers’ and students’ understanding of the full potential of this kind of technology in education. PMID:26641454

  11. Teaching and Learning with Mobile Technology: A Qualitative Explorative Study about the Introduction of Tablet Devices in Secondary Education.

    Directory of Open Access Journals (Sweden)

    Hannelore Montrieux

    Full Text Available This paper investigates teachers' and students' perceptions concerning the impact of using tablet devices for teaching and learning purposes. An explorative focus group study was conducted with teachers (n = 18 and students (n = 39 in a secondary school that has implemented tablet devices since 2012. The general finding of this study shows that the use of tablet devices in the classroom setting has an impact on both teaching and learning practices. The results suggest that teachers can be divided into two categories: the innovative teachers and the instrumental teachers. Innovative teachers attempt to shift from a teacher-centered to a learning-centered approach. They have changed their teaching style by transforming lessons in accordance with the advantages tablet computers can offer. Instrumental teachers seem to use the device as a 'book behind glass'. The distinction between the two groups has consequences for both the way courses are given and how students experience them. In general, the introduction of tablet devices entails a shift in the way students learn, as the devices provide interactive, media-rich, and exciting new environments. The results of this study indicate that policy makers should consider introducing technical and pedagogical support in order to facilitate both teachers' and students' understanding of the full potential of this kind of technology in education.

  12. OBJECTIVE STRUCTURED PRACTICAL EXAMINATION AS A LEARNING AND EVALUATION TOOL FOR BIOCHEMISTRY- FIRST EXPERIENCE

    Directory of Open Access Journals (Sweden)

    Vidyabati Devi Rajkumari

    2017-06-01

    Full Text Available BACKGROUND Assessment plays an important role in helping learners identify their own learning needs. The objective structured practical examination assesses practical skills in an objective and structured manner with direct observation of the students’ performance during planned clinical test. The aim of the study is to evaluate OSPE as a method of learning and formative assessment to the practical skill and to explore faculty perception of OSPE as a learning and assessment tool. MATERIALS AND METHODS A total of 98 students of first year MBBS student admitted for 2015-16 batch of Jawaharlal Nehru Institute of Medical Sciences, Imphal, were the subjects for the study. Day one- Group A (1-50 students were evaluated by OSPE method of assessment. Day two- Group B (51-98 were evaluated by standard practical examination. To avoid examiners Bias on Day 3- Group C (51- 98 who were evaluated by SPE were evaluated by OSPE with minor variations. Group A underwent OSPE. Questionnaire was given to students after the assessment on the fourth day to get the feedback. RESULTS Independent sample t-test comparing mean percent scores of OSPE and SPE between the groups. There is no statistically significant difference in the mean percent scores for OSPE and SPE among the two groups. Paired sample t-test comparing mean percent scores of OSPE and SPE of group B students. The mean percentage score for OSPE is higher than the percentage scores obtained in SPE among the group B students, but the difference was not found to be statistically significant. The feedback from the students showed that more than 80% agreed that OSPE was less stressful to perform that it was a more objective assessment. CONCLUSION In conclusion, OSPE has several distinct advantages. From our first experience, we found that OSPE was more objective, measured practical skills better and eliminated examiner bias.

  13. The Deflector Selector: A machine learning framework for prioritizing hazardous object deflection technology development

    Science.gov (United States)

    Nesvold, E. R.; Greenberg, A.; Erasmus, N.; van Heerden, E.; Galache, J. L.; Dahlstrom, E.; Marchis, F.

    2018-05-01

    Several technologies have been proposed for deflecting a hazardous Solar System object on a trajectory that would otherwise impact the Earth. The effectiveness of each technology depends on several characteristics of the given object, including its orbit and size. The distribution of these parameters in the likely population of Earth-impacting objects can thus determine which of the technologies are most likely to be useful in preventing a collision with the Earth. None of the proposed deflection technologies has been developed and fully tested in space. Developing every proposed technology is currently prohibitively expensive, so determining now which technologies are most likely to be effective would allow us to prioritize a subset of proposed deflection technologies for funding and development. We present a new model, the Deflector Selector, that takes as its input the characteristics of a hazardous object or population of such objects and predicts which technology would be able to perform a successful deflection. The model consists of a machine-learning algorithm trained on data produced by N-body integrations simulating the deflections. We describe the model and present the results of tests of the effectiveness of nuclear explosives, kinetic impactors, and gravity tractors on three simulated populations of hazardous objects.

  14. The Deflector Selector: A Machine Learning Framework for Prioritizing Hazardous Object Deflection Technology Development

    Science.gov (United States)

    Nesvold, Erika; Greenberg, Adam; Erasmus, Nicolas; Van Heerden, Elmarie; Galache, J. L.; Dahlstrom, Eric; Marchis, Franck

    2018-01-01

    Several technologies have been proposed for deflecting a hazardous Solar System object on a trajectory that would otherwise impact the Earth. The effectiveness of each technology depends on several characteristics of the given object, including its orbit and size. The distribution of these parameters in the likely population of Earth-impacting objects can thus determine which of the technologies are most likely to be useful in preventing a collision with the Earth. None of the proposed deflection technologies has been developed and fully tested in space. Developing every proposed technology is currently prohibitively expensive, so determining now which technologies are most likely to be effective would allow us to prioritize a subset of proposed deflection technologies for funding and development. We will present a new model, the Deflector Selector, that takes as its input the characteristics of a hazardous object or population of such objects and predicts which technology would be able to perform a successful deflection. The model consists of a machine-learning algorithm trained on data produced by N-body integrations simulating the deflections. We will describe the model and present the results of tests of the effectiveness of nuclear explosives, kinetic impactors, and gravity tractors on three simulated populations of hazardous objects.

  15. Introduction of problem-based learning in undergraduate dentistry program in Nepal

    OpenAIRE

    Rimal, Jyotsna; Paudel, Bishnu Hari; Shrestha, Ashish

    2015-01-01

    Context: Problem-based learning (PBL) is a methodology widely used in medical education and is growing in dental education. Initiation of new ideas and teaching methods requires a change in perception from faculty and institute management. Student-centered education is a need of the day and PBL provides the best outlet to it. Aim: To introduce PBL, assess feasibility and challenges in undergraduate dentistry program and evaluate the impact on their learning. Settings and Design: PBL was used ...

  16. Introduction of Open E-Learning System as a Factor of Regional Development

    OpenAIRE

    Tatiana Yuryevna Bystrova; Viola Anatoylevna Larionova; Michael Osborne; Anatoly Mikhaylovich Platonov

    2015-01-01

    The article analyses the economic and socio-cultural premises for introducing the open e-learning in the universities of the Ural region, as well as the potential economic effect of this type of educational activity. The article strives to prove a regular pattern of the universities’ transition to e-learning, also in connection with the changes of the educational paradigm and the nature of the educational system management. The hypothesis of the paper is connected with bringing the economic d...

  17. Exploring the impact of learning objects in middle school mathematics and science classrooms: A formative analysis

    Directory of Open Access Journals (Sweden)

    Robin H. Kay

    2008-12-01

    Full Text Available The current study offers a formative analysis of the impact of learning objects in middle school mathematics and science classrooms. Five reliable and valid measure of effectiveness were used to examine the impact of learning objects from the perspective of 262 students and 8 teachers (14 classrooms in science or mathematics. The results indicate that teachers typically spend 1-2 hours finding and preparing for learning-object based lesson plans that focus on the review of previous concepts. Both teachers and students are positive about the learning benefits, quality, and engagement value of learning objects, although teachers are more positive than students. Student performance increased significantly, over 40%, when learning objects were used in conjunction with a variety of teaching strategies. It is reasonable to conclude that learning objects have potential as a teaching tool in a middle school environment. L’impacte des objets d’apprentissage dans les classes de mathématique et de sciences à l’école intermédiaire : une analyse formative Résumé : Cette étude présente une analyse formative de l’impacte des objets d’apprentissage dans les classes de mathématique et de sciences à l’école intermédiaire. Cinq mesures de rendement fiables et valides ont été exploitées pour examiner l’effet des objets d’apprentissage selon 262 élèves et 8 enseignants (414 classes en science ou mathématiques. Les résultats indiquent que les enseignants passent typiquement 1-2 heures pour trouver des objets d’apprentissage et préparer les leçons associées qui seraient centrées sur la revue de concepts déjà vus en classe. Quoique les enseignants aient répondu de façon plus positive que les élèves, les deux groupes ont répondu positivement quant aux avantages au niveau de l’apprentissage, à la qualité ainsi qu’à la valeur motivationnelle des objets d’apprentissage. Le rendement des élèves aurait aussi augment

  18. A Cognitive Skill Classification Based on Multi Objective Optimization Using Learning Vector Quantization for Serious Games

    Directory of Open Access Journals (Sweden)

    Moh. Aries Syufagi

    2013-09-01

    Full Text Available Nowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player’s ability. To asses the cognitive level of player ability, we propose a Cognitive Skill Game (CSG. CSG improves this cognitive concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ for optimizing the cognitive skill input classification of the player. CSG is using teacher’s data to obtain the neuron vector of cognitive skill pattern supervise. Three clusters multi objective XE "multi objective"  target will be classified as; trial and error, carefully and, expert cognitive skill. In the game play experiments employ 33 respondent players demonstrates that 61% of players have high trial and error, 21% have high carefully, and 18% have high expert cognitive skill. CSG may provide information to game engine when a player needs help or when wanting a formidable challenge. The game engine will provide the appropriate tasks according to players’ ability. CSG will help balance the emotions of players, so players do not get bored and frustrated. 

  19. Learning Clinical Procedures Through Internet Digital Objects: Experience of Undergraduate Students Across Clinical Faculties

    Science.gov (United States)

    Li, Tse Yan; Wong, Kin; Tse, Christine Shuk Kwan; Chan, Ying Yee

    2015-01-01

    Background Various digital learning objects (DLOs) are available via the World Wide Web, showing the flow of clinical procedures. It is unclear to what extent these freely accessible Internet DLOs facilitate or hamper students’ acquisition of clinical competence. Objective This study aimed to understand the experience of undergraduate students across clinical disciplines—medicine, dentistry, and nursing—in using openly accessible Internet DLOs, and to investigate the role of Internet DLOs in facilitating their clinical learning. Methods Mid-year and final-year groups were selected from each undergraduate clinical degree program of the University of Hong Kong—Bachelor of Medicine and Bachelor of Surgery (MBBS), Bachelor of Dental Surgery (BDS), and Bachelor of Nursing (BNurs). All students were invited to complete a questionnaire on their personal and educational backgrounds, and their experiences and views on using Internet DLOs in learning clinical procedures. The questionnaire design was informed by the findings of six focus groups. Results Among 439 respondents, 97.5% (428/439) learned a variety of clinical procedures through Internet DLOs. Most nursing students (107/122, 87.7%) learned preventive measures through Internet DLOs, with a lower percentage of medical students (99/215, 46.0%) and dental students (43/96, 45%) having learned them this way (both Pstudents accessed DLOs through public search engines, whereas 93.2% (409/439) accessed them by watching YouTube videos. Students often shared DLOs with classmates (277/435, 63.7%), but rarely discussed them with teachers (54/436, 12.4%). The accuracy, usefulness, and importance of Internet DLOs were rated as 6.85 (SD 1.48), 7.27 (SD 1.53), and 7.13 (SD 1.72), respectively, out of a high score of 10. Conclusions Self-exploration of DLOs in the unrestricted Internet environment is extremely common among current e-generation learners and was regarded by students across clinical faculties as an important

  20. A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games

    Directory of Open Access Journals (Sweden)

    Moh. Aries Syufagi

    2011-12-01

    Full Text Available Nowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player’s ability. To asses the cognitive level of player ability, we propose a Cognitive Skill Game (CSG. CSG improves this cognitive concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ for optimizing the cognitive skill input classification of the player. CSG is using teacher’s data to obtain the neuron vector of cognitive skill pattern supervise. Three clusters multi objective target will be classified as; trial and error, carefully and, expert cognitive skill. In the game play experiments using 33 respondent players demonstrates that 61% of players have high trial and error cognitive skill, 21% have high carefully cognitive skill, and 18% have high expert cognitive skill. CSG may provide information to game engine when a player needs help or when wanting a formidable challenge. The game engine will provide the appropriate tasks according to players’ ability. CSG will help balance the emotions of players, so players do not get bored and frustrated. Players have a high interest to finish the game if the player is emotionally stable. Interests in the players strongly support the procedural learning in a serious game.

  1. Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking

    Science.gov (United States)

    Xue, Ming; Yang, Hua; Zheng, Shibao; Zhou, Yi; Yu, Zhenghua

    2014-01-01

    To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT) is presented. In our framework, a discriminative dictionary combining both positive, negative and trivial patches is designed to sparsely represent the overlapped target patches. Then, a local update (LU) strategy is proposed for sparse coefficient learning. To formulate the training and classification process, a multiple linear classifier group based on a K-combined voting (KCV) function is proposed. As the dictionary evolves, the models are also trained to timely adapt the target appearance variation. Qualitative and quantitative evaluations on challenging image sequences compared with state-of-the-art algorithms demonstrate that the proposed tracking algorithm achieves a more favorable performance. We also illustrate its relay application in visual sensor networks. PMID:24549252

  2. Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking

    Directory of Open Access Journals (Sweden)

    Ming Xue

    2014-02-01

    Full Text Available To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT is presented. In our framework, a discriminative dictionary combining both positive, negative and trivial patches is designed to sparsely represent the overlapped target patches. Then, a local update (LU strategy is proposed for sparse coefficient learning. To formulate the training and classification process, a multiple linear classifier group based on a K-combined voting (KCV function is proposed. As the dictionary evolves, the models are also trained to timely adapt the target appearance variation. Qualitative and quantitative evaluations on challenging image sequences compared with state-of-the-art algorithms demonstrate that the proposed tracking algorithm achieves a more favorable performance. We also illustrate its relay application in visual sensor networks.

  3. Reaching Consensus on Essential Biomedical Science Learning Objectives in a Dental Curriculum.

    Science.gov (United States)

    Best, Leandra; Walton, Joanne N; Walker, Judith; von Bergmann, HsingChi

    2016-04-01

    This article describes how the University of British Columbia Faculty of Dentistry reached consensus on essential basic biomedical science objectives for DMD students and applied the information to the renewal of its DMD curriculum. The Delphi Method was used to build consensus among dental faculty members and students regarding the relevance of over 1,500 existing biomedical science objectives. Volunteer panels of at least three faculty members (a basic scientist, a general dentist, and a dental specialist) and a fourth-year dental student were formed for each of 13 biomedical courses in the first two years of the program. Panel members worked independently and anonymously, rating each course objective as "need to know," "nice to know," "irrelevant," or "don't know." Panel members were advised after each round which objectives had not yet achieved a 75% consensus and were asked to reconsider their ratings. After a maximum of three rounds to reach consensus, a second group of faculty experts reviewed and refined the results to establish the biomedical science objectives for the renewed curriculum. There was consensus on 46% of the learning objectives after round one, 80% after round two, and 95% after round three. The second expert group addressed any remaining objectives as part of its review process. Only 47% of previous biomedical science course objectives were judged to be essential or "need to know" for the general dentist. The consensus reached by participants in the Delphi Method panels and a second group of faculty experts led to a streamlined, better integrated DMD curriculum to prepare graduates for future practice.

  4. Citizenship education in Lebanon: An introduction into students’ concepts and learning experiences

    Directory of Open Access Journals (Sweden)

    Bassel Akar

    2007-12-01

    Full Text Available Lebanon continues to use citizenship education as a tool for social cohesion in its post-conflict sectarian society. Recently, teachers from previous studies (Akar, 2006 have raised certain issues concerning the challenges of teaching citizenship in Lebanon’s National and Civic Education classrooms. This initial study in Lebanon explores some of the challenges that students face when learning citizenship within their classroom by investigating their concepts of citizenship in addition to their learning experiences. Thirty-one students from two year-11 classrooms in different schools participated. During a 45-minute class lesson, I administered a survey pack collecting quantitative and qualitative data. This pack included a diamond ranking exercise, open-ended questions and a 15-minute class discussion at the end of class. Evidence showed that these students value active and dynamic behaviours based on humanistic and democratic principles. They also demonstrated a strong sense of national identity with little or no reference to a global one. Finally, the findings showed that traditional methods of learning such as memorization and the paradoxical climate of learning democratic civic behaviours in a society of internal conflicts further challenged their learning experiences.

  5. Dental nursing education and the introduction of technology-assisted learning.

    Science.gov (United States)

    Sheridan, C; Gorman, T; Claffey, N

    2008-11-01

    The aim of this paper is to explore the profile of dental nursing students in the National Dental Nurse Training Programme of Ireland and their adjustment to a technology-assisted learning environment. Evaluation by students of the course and their reactions to the course were analysed. Dental nurses must possess the skills and knowledge to proficiently function in the modern day dental surgery. The implementation of a dental nurse programme that is heavily reliant on technology has started to create a group of dental nurses equipped with basic skills to access and retrieve information over a lifetime. However, the transition to a technology-assisted learning environment including online learning activities requires adaptation and expertise by educators and students alike. Careful evaluation and stakeholder feedback is imperative in the creation and maintaining of a quality programme. In conclusion, the students in this study responded well to the transition to a technology-based learning environment. Furthermore, the findings of this study suggest that the use of an online environment is an effective and stimulating learning environment for the students of a dental nurse programme; however, familiarity skills and knowledge of information technology is a prerequisite for success.

  6. Multi-Objective Reinforcement Learning-Based Deep Neural Networks for Cognitive Space Communications

    Science.gov (United States)

    Ferreria, Paulo Victor R.; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy M.; Bilen, Sven G.; Reinhart, Richard C.; Mortensen, Dale J.

    2017-01-01

    Future communication subsystems of space exploration missions can potentially benefit from software-defined radios (SDRs) controlled by machine learning algorithms. In this paper, we propose a novel hybrid radio resource allocation management control algorithm that integrates multi-objective reinforcement learning and deep artificial neural networks. The objective is to efficiently manage communications system resources by monitoring performance functions with common dependent variables that result in conflicting goals. The uncertainty in the performance of thousands of different possible combinations of radio parameters makes the trade-off between exploration and exploitation in reinforcement learning (RL) much more challenging for future critical space-based missions. Thus, the system should spend as little time as possible on exploring actions, and whenever it explores an action, it should perform at acceptable levels most of the time. The proposed approach enables on-line learning by interactions with the environment and restricts poor resource allocation performance through virtual environment exploration. Improvements in the multiobjective performance can be achieved via transmitter parameter adaptation on a packet-basis, with poorly predicted performance promptly resulting in rejected decisions. Simulations presented in this work considered the DVB-S2 standard adaptive transmitter parameters and additional ones expected to be present in future adaptive radio systems. Performance results are provided by analysis of the proposed hybrid algorithm when operating across a satellite communication channel from Earth to GEO orbit during clear sky conditions. The proposed approach constitutes part of the core cognitive engine proof-of-concept to be delivered to the NASA Glenn Research Center SCaN Testbed located onboard the International Space Station.

  7. Introduction to the Symposium "Leading Students and Faculty to Quantitative Biology through Active Learning".

    Science.gov (United States)

    Waldrop, Lindsay D; Miller, Laura A

    2015-11-01

    The broad aim of this symposium and set of associated papers is to motivate the use of inquiry-based, active-learning teaching techniques in undergraduate quantitative biology courses. Practical information, resources, and ready-to-use classroom exercises relevant to physicists, mathematicians, biologists, and engineers are presented. These resources can be used to address the lack of preparation of college students in STEM fields entering the workforce by providing experience working on interdisciplinary and multidisciplinary problems in mathematical biology in a group setting. Such approaches can also indirectly help attract and retain under-represented students who benefit the most from "non-traditional" learning styles and strategies, including inquiry-based, collaborative, and active learning. © The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

  8. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application.

    Science.gov (United States)

    Zajaczek, J E W; Götz, F; Kupka, T; Behrends, M; Haubitz, B; Donnerstag, F; Rodt, T; Walter, G F; Matthies, H K; Becker, H

    2006-09-01

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology.

  9. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application

    Energy Technology Data Exchange (ETDEWEB)

    Zajaczek, J.E.W. [Hannover Medical School, Department of Neuroradiology (OE 8210), Hannover (Germany); Hannover Medical School, Department of Medical Informatics, Hannover (Germany); Goetz, F.; Haubitz, B.; Donnerstag, F.; Becker, H. [Hannover Medical School, Department of Neuroradiology (OE 8210), Hannover (Germany); Kupka, T.; Behrends, M.; Matthies, H.K. [Hannover Medical School, Department of Medical Informatics, Hannover (Germany); Rodt, T. [Hannover Medical School, Department of Neurosurgery, Hannover (Germany); Walter, G.F. [Medical University of Graz, Graz (Austria)

    2006-09-15

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology. (orig.)

  10. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application

    International Nuclear Information System (INIS)

    Zajaczek, J.E.W.; Goetz, F.; Haubitz, B.; Donnerstag, F.; Becker, H.; Kupka, T.; Behrends, M.; Matthies, H.K.; Rodt, T.; Walter, G.F.

    2006-01-01

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology. (orig.)

  11. Practicing doctors' perceptions on new learning objectives for Vietnamese medical schools

    Directory of Open Access Journals (Sweden)

    Dung Do Van

    2007-06-01

    Full Text Available Abstract Background As part of the process to develop more community-oriented medical teaching in Vietnam, eight medical schools prepared a set of standard learning objectives with attention to the needs of a doctor working with the community. Because they were prepared based on government documents and the opinions of the teachers, it was necessary to check them with doctors who had already graduated and were working at different sites in the community. Methods Each of the eight medical faculties asked 100 practising recent graduates to complete a questionnaire to check the relevance of the skills that the teachers considered most important. We used mean and standard deviation to summarize the scores rated by the respondents for each skill and percentile at four points: p50, p25, p10 and p5 to describe the variation of scores among the respondents. Correlation coefficient was used to measure the relationship between skill levels set by the teachers and the perception of practicing doctors regarding frequency of using skills and priority for each skill. Additional information was taken from the records of focus group discussions to clarify, explain or expand on the results from the quantitative data. Results In many cases the skills considered important by teachers were also rated as highly necessary and/or frequently used by the respondents. There were, however, discrepancies: some skills important to teachers were seldom used and not considered important by the doctors. In focus group discussions the doctors also identified skills that are not taught at all in the medical schools but would be needed by practising doctors. Conclusion Although most of the skills and skill levels included in the learning objectives by the teachers were consistent with the opinions of their graduates, the match was not perfect. The experience of the graduates and their additional comments should be included as inputs to the definition of learning objectives for

  12. CERN Technical Training 2002: Learning for the LHC! Electromagnetic Compatibility (EMC): Introduction

    CERN Multimedia

    Davide Vitè

    2002-01-01

    A new session of the course Electromagnetic Compatibility (EMC): Introduction will be held on May 22 (am), in the framework of the CERN Technical Training Programme. This session, bilingual English-French, is free of charge, and will be given by F. Szoncso of TIS-GS division. The course is designed for physicists, engineers and technicians facing electromagnetic interference problems, and will describe the underlying phenomena and mechanisms of electromagnetic interference and their remedies. More information and online registration by EDH are available from the Technical Training "Electronics Design" pages, under the chapter "Miscellaneous". Please contact Technical.Training@cern.ch should you need any other information.

  13. An introduction to Deep learning on biological sequence data - Examples and solutions

    DEFF Research Database (Denmark)

    Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten

    2017-01-01

    Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use....... Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively...

  14. The Implementation of Medical Informatics in the National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM).

    Science.gov (United States)

    Behrends, Marianne; Steffens, Sandra; Marschollek, Michael

    2017-01-01

    The National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM) describes medical skills and attitudes without being ordered by subjects or organs. Thus, the NKLM enables systematic curriculum mapping and supports curricular transparency. In this paper we describe where learning objectives related to Medical Informatics (MI) in Hannover coincide with other subjects and where they are taught exclusively in MI. An instance of the web-based MERLIN-database was used for the mapping process. In total 52 learning objectives overlapping with 38 other subjects could be allocated to MI. No overlap exists for six learning objectives describing explicitly topics of information technology or data management for scientific research. Most of the overlap was found for learning objectives relating to documentation and aspects of data privacy. The identification of numerous shared learning objectives with other subjects does not mean that other subjects teach the same content as MI. Identifying common learning objectives rather opens up the possibility for teaching cooperations which could lead to an important exchange and hopefully an improvement in medical education. Mapping of a whole medical curriculum offers the opportunity to identify common ground between MI and other medical subjects. Furthermore, in regard to MI, the interaction with other medical subjects can strengthen its role in medical education.

  15. Abstraction ability as an indicator of success for learning object-oriented programming?

    DEFF Research Database (Denmark)

    Bennedsen, Jens Benned; Caspersen, Michael Edelgaard

    2006-01-01

    ability is operationalized as stages of cognitive development (for which validated tests exist). Programming ability is operationalized as grade in the final assessment of a model-based objects-first CS1. The validity of the operationalizations is discussed. Surprisingly, our study shows......Computer science educators generally agree that abstract thinking is a crucial component for learning computer science in general and programming in particular. We report on a study to confirm the hypothesis that general abstraction ability has a positive impact on programming ability. Abstraction...... that there is no correlation between stage of cognitive development (abstraction ability) and final grade in CS1 (programming ability). Possible explanations are identified....

  16. Teaching tools in Evidence Based Practice: evaluation of reusable learning objects (RLOs for learning about Meta-analysis

    Directory of Open Access Journals (Sweden)

    Wharrad Heather

    2011-05-01

    Full Text Available Abstract Background All healthcare students are taught the principles of evidence based practice on their courses. The ability to understand the procedures used in systematically reviewing evidence reported in studies, such as meta-analysis, are an important element of evidence based practice. Meta-analysis is a difficult statistical concept for healthcare students to understand yet it is an important technique used in systematic reviews to pool data from studies to look at combined effectiveness of treatments. In other areas of the healthcare curricula, by supplementing lectures, workbooks and workshops with pedagogically designed, multimedia learning objects (known as reusable learning objects or RLOs we have shown an improvement in students' perceived understanding in subjects they found difficult. In this study we describe the development and evaluation of two RLOs on meta-analysis. The RLOs supplement associated lectures and aim to improve students' understanding of meta-analysis in healthcare students. Methods Following a quality controlled design process two RLOs were developed and delivered to two cohorts of students, a Master in Public Health course and Postgraduate diploma in nursing course. Students' understanding of five key concepts of Meta-analysis were measured before and after a lecture and again after RLO use. RLOs were also evaluated for their educational value, learning support, media attributes and usability using closed and open questions. Results Students rated their understanding of meta-analysis as improved after a lecture and further improved after completing the RLOs (Wilcoxon paired test, p Conclusions Meta-analysis RLOs that are openly accessible and unrestricted by usernames and passwords provide flexible support for students who find the process of meta-analysis difficult.

  17. From brain synapses to systems for learning and memory: Object recognition, spatial navigation, timed conditioning, and movement control.

    Science.gov (United States)

    Grossberg, Stephen

    2015-09-24

    This article provides an overview of neural models of synaptic learning and memory whose expression in adaptive behavior depends critically on the circuits and systems in which the synapses are embedded. It reviews Adaptive Resonance Theory, or ART, models that use excitatory matching and match-based learning to achieve fast category learning and whose learned memories are dynamically stabilized by top-down expectations, attentional focusing, and memory search. ART clarifies mechanistic relationships between consciousness, learning, expectation, attention, resonance, and synchrony. ART models are embedded in ARTSCAN architectures that unify processes of invariant object category learning, recognition, spatial and object attention, predictive remapping, and eye movement search, and that clarify how conscious object vision and recognition may fail during perceptual crowding and parietal neglect. The generality of learned categories depends upon a vigilance process that is regulated by acetylcholine via the nucleus basalis. Vigilance can get stuck at too high or too low values, thereby causing learning problems in autism and medial temporal amnesia. Similar synaptic learning laws support qualitatively different behaviors: Invariant object category learning in the inferotemporal cortex; learning of grid cells and place cells in the entorhinal and hippocampal cortices during spatial navigation; and learning of time cells in the entorhinal-hippocampal system during adaptively timed conditioning, including trace conditioning. Spatial and temporal processes through the medial and lateral entorhinal-hippocampal system seem to be carried out with homologous circuit designs. Variations of a shared laminar neocortical circuit design have modeled 3D vision, speech perception, and cognitive working memory and learning. A complementary kind of inhibitory matching and mismatch learning controls movement. This article is part of a Special Issue entitled SI: Brain and Memory

  18. The Shoulder Objective Practical Assessment Tool: Evaluation of a New Tool Assessing Residents Learning in Diagnostic Shoulder Arthroscopy.

    Science.gov (United States)

    Talbot, Christopher L; Holt, Edward M; Gooding, Benjamin W T; Tennent, Thomas D; Foden, Philip

    2015-08-01

    To design and validate an objective practical assessment tool for diagnostic shoulder arthroscopy that would provide residents with a method to evaluate their progression in this field of surgery and to identify specific learning needs. We designed and evaluated the shoulder Objective Practical Assessment Tool (OPAT). The shoulder OPAT was designed by us, and scoring domains were created using a Delphi process. The shoulder OPAT was trialed by members of the British Elbow & Shoulder Society Education Committee for internal consistency and ease of use before being offered to other trainers and residents. Inter-rater reliability and intrarater reliability were calculated. One hundred forty orthopaedic residents, of varying seniority, within 5 training regions in the United Kingdom, were questioned regarding the tool. A pilot study of 6 residents was undertaken. Internal consistency was 0.77 (standardized Cronbach α). Inter-rater reliability was 0.60, and intrarater reliability was 0.82. The Spearman correlation coefficient (r) between the global summary score for the shoulder OPAT and the current assessment tool used in postgraduate training for orthopaedic residents undertaking diagnostic shoulder arthroscopy equaled 0.74. Of the residents, 82% agreed or strongly agreed when asked if the shoulder OPAT would be a useful tool in monitoring progression and 72% agreed or strongly agreed with the introduction of the shoulder OPAT within the orthopaedic domain. This study shows that the shoulder OPAT fulfills several aspects of reliability and validity when tested. Despite the inter-rater reliability being 0.60, we believe that the shoulder OPAT has the potential to play a role alongside the current assessment tool in the training of orthopaedic residents. The shoulder OPAT can be used to assess residents during shoulder arthroscopy and has the potential for use in medical education, as well as arthroscopic skills training in the operating theater. Copyright © 2015

  19. Teaching Introduction to American Government/Politics: What We Learn from the Visual Images in Textbooks

    Science.gov (United States)

    Allen, Marcus D.; Wallace, Sherri L.

    2010-01-01

    Political science students learn the fundamental principles and values about the American political system from American government/politics textbooks. Most of the major textbooks used in these courses utilize the traditional institutional and behavioral approaches to the study of American government and politics, which examines institutions and…

  20. Conceptual Metaphor and Embodied Cognition in Science Learning: Introduction to Special Issue

    Science.gov (United States)

    Amin, Tamer G.; Jeppsson, Fredrik; Haglund, Jesper

    2015-01-01

    This special issue of "International Journal of Science Education" is based on the theme "Conceptual Metaphor and Embodied Cognition in Science Learning." The idea for this issue grew out of a symposium organized on this topic at the conference of the European Science Education Research Association (ESERA) in September 2013.…

  1. The introduction and effectiveness of simulation-based learning in medical education.

    Science.gov (United States)

    Nara, Nobuo; Beppu, Masashi; Tohda, Shuji; Suzuki, Toshiya

    2009-01-01

    To contribute to reforming the medical education system in Japan, we visited overseas medical schools and observed the methods utilized in medical education. We visited 28 medical schools and five institutes in the United States, Europe, Australia and Asia in 2008. We met deans and specialists in medical affairs and observed the medical schools' facilities. Among the several effective educational methods used in overseas medical schools, simulation-based learning was being used in all that we visited. Simulation-based learning is used to promote medical students' mastery of communication skills, medical interviewing, physical examination and basic clinical procedures. Students and tutors both recognize the effectiveness of simulation-based learning in medical education. In contrast to overseas medical schools, simulation-based learning is not common in Japan. There remain many barriers to introduce simulation-based education in Japan, such as a shortage of medical tutors, staff, mannequins and budget. However, enhancing the motivation of tutors is likely the most important factor to facilitate simulation-based education in Japanese medical schools to become common place.

  2. Introduction to the papers of TWG16: Learning Mathematics with Technology and Other Resources

    NARCIS (Netherlands)

    Drijvers, P.H.M.; Faggiano, Eleonora; Geraniou, Eirini; Weigand, Hans-Georg

    2017-01-01

    The use of technology and other resources for mathematical learning is a current issue in the field of mathematics education and lags behind the rapid advances in Information and Communication Technology. Technological developments offer opportunities, which are not straightforward to exploit in

  3. Preparing Students with Learning Disabilities for Writing Tasks: Introduction to a Special Issue

    Science.gov (United States)

    Sperling, Marko; Grünke, Matthias

    2017-01-01

    Just as composing a story, a report, or an argumentative essay is challenging for most students with LD, so it is challenging for teachers in inclusive settings to instruct them (Gillespie & Kiuhara, 2017; Grünke & Leonard Zabel, 2015). The articles in this issue of "Insights into Learning Disabilities" are geared towards special…

  4. Introduction to special issue on machine learning approaches to shallow parsing

    NARCIS (Netherlands)

    Hammerton, J; Osborne, M; Armstrong, S; Daelemans, W

    2002-01-01

    This article introduces the problem of partial or shallow parsing (assigning partial syntactic structure to sentences) and explains why it is an important natural language processing (NLP) task. The complexity of the task makes Machine Learning an attractive option in comparison to the handcrafting

  5. Introduction to the JASIST Special Topic Issue on Web Retrieval and Mining: A Machine Learning Perspective.

    Science.gov (United States)

    Chen, Hsinchun

    2003-01-01

    Discusses information retrieval techniques used on the World Wide Web. Topics include machine learning in information extraction; relevance feedback; information filtering and recommendation; text classification and text clustering; Web mining, based on data mining techniques; hyperlink structure; and Web size. (LRW)

  6. An Introduction to Topic Modeling as an Unsupervised Machine Learning Way to Organize Text Information

    Science.gov (United States)

    Snyder, Robin M.

    2015-01-01

    The field of topic modeling has become increasingly important over the past few years. Topic modeling is an unsupervised machine learning way to organize text (or image or DNA, etc.) information such that related pieces of text can be identified. This paper/session will present/discuss the current state of topic modeling, why it is important, and…

  7. Applying Cognitive Psychology Based Instructional Design Principles in Mathematics Teaching and Learning: Introduction

    Science.gov (United States)

    Verschaffel, Lieven; Van Dooren, W.; Star, J.

    2017-01-01

    This special issue comprises contributions that address the breadth of current lines of recent research from cognitive psychology that appear promising for positively impacting students' learning of mathematics. More specifically, we included contributions (a) that refer to cognitive psychology based principles and techniques, such as explanatory…

  8. Construction and validation of clinical contents for development of learning objects

    Directory of Open Access Journals (Sweden)

    Flávia Tatiana Pedrolo Hortense

    Full Text Available ABSTRACT Objective: to describe the process of construction and validation of clinical contents for health learning objects, aimed at patients in the treatment of head and neck cancer. Method: descriptive, methodological study. The development of the script and the storyboard were based on scientific evidence and submitted to the appreciation of specialists for validation of content. The agreement index was checked quantitatively and the suggestions were qualitatively evaluated. Results: The items described in the roadmap were approved by 99% of expert experts. The suggestions for adjustments were inserted in their entirety in the final version. The free-marginal kappa statistical test, for multiple evaluators, presented value equal to 0.68%, granting a substantial agreement. Conclusion: The steps taken in the construction and validation of the content for the production of educational material for patients with head and neck cancer were adequate, relevant and suitable for use in other subjects.

  9. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization.

    Science.gov (United States)

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-08-24

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device's built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction.

  10. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization

    Directory of Open Access Journals (Sweden)

    Jinmeng Rao

    2017-08-01

    Full Text Available The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction.

  11. Discriminative kernel feature extraction and learning for object recognition and detection

    DEFF Research Database (Denmark)

    Pan, Hong; Olsen, Søren Ingvor; Zhu, Yaping

    2015-01-01

    Feature extraction and learning is critical for object recognition and detection. By embedding context cue of image attributes into the kernel descriptors, we propose a set of novel kernel descriptors called context kernel descriptors (CKD). The motivation of CKD is to use the spatial consistency...... even in high-dimensional space. In addition, the latent connection between Rényi quadratic entropy and the mapping data in kernel feature space further facilitates us to capture the geometric structure as well as the information about the underlying labels of the CKD using CSQMI. Thus the resulting...... codebook and reduced CKD are discriminative. We report superior performance of our algorithm for object recognition on benchmark datasets like Caltech-101 and CIFAR-10, as well as for detection on a challenging chicken feet dataset....

  12. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization

    Science.gov (United States)

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-01-01

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction. PMID:28837096

  13. An Automatic Indicator of the Reusability of Learning Objects Based on Metadata That Satisfies Completeness Criteria

    Science.gov (United States)

    Sanz-Rodríguez, Javier; Margaritopoulos, Merkourios; Margaritopoulos, Thomas; Dodero, Juan Manuel; Sánchez-Alonso, Salvador; Manitsaris, Athanasios

    The search for learning objects in open repositories is currently a tedious task, owing to the vast amount of resources available and the fact that most of them do not have associated ratings to help users make a choice. In order to tackle this problem, we propose a reusability indicator, which can be calculated automatically using the metadata that describes the objects, allowing us to select those materials most likely to be reused. In order for this reusability indicator to be applied, metadata records must reach a certain amount of completeness, guaranteeing that the material is adequately described. This reusability indicator is tested in two studies on the Merlot and eLera repositories, and results obtained offer evidence to support their effectiveness.

  14. The introduction of computer assisted learning in a school of midwifery using the Wessex Care Plan Program.

    Science.gov (United States)

    Leong, W C

    1989-04-01

    This case study was the result of attending the Computer Assisted Learning (CAL) Course sponsored by the Wessex Regional CAL Project. This was the Region's initiative to prepare Nurse and Midwife Teachers in developing CAL in the curriculum. The small scale qualitative classroom study was conducted in the School of Midwifery. The aim of the study was to evaluate the use of the content-free Wessex Care Plan Program (WCPP) in the Midwifery curriculum. For the evaluation of the study, a triangulation of data were obtained from the following sources: 1) classroom observation 2) questionnaires and interviews of eight Student Midwives 3) colleagues' responses to the introduction of CAL and personal experience The findings of this study showed that the content-free WCPP was easy to prepare and implement. The Student Midwives found the program easy to follow and a useful means of learning. At the same time it was enjoyable and fun; a dimension of learning that we could do with more often!

  15. Transforming clinical imaging and 3D data for virtual reality learning objects: HTML5 and mobile devices implementation.

    Science.gov (United States)

    Trelease, Robert B; Nieder, Gary L

    2013-01-01

    Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.

  16. Pareto Optimal Solutions for Network Defense Strategy Selection Simulator in Multi-Objective Reinforcement Learning

    Directory of Open Access Journals (Sweden)

    Yang Sun

    2018-01-01

    Full Text Available Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL leads to better learning results for network defense games. This is particularly useful for network security agents, who must often balance several goals when choosing what action to take in defense of a network. If the defender knows his preferred reward distribution, the advantages of Pareto optimization can be retained by using a scalarization algorithm prior to the implementation of the MORL. In this paper, we simulate a network defense scenario by creating a multi-objective zero-sum game and using Pareto optimization and MORL to determine optimal solutions and compare those solutions to different scalarization approaches. We build a Pareto Defense Strategy Selection Simulator (PDSSS system for assisting network administrators on decision-making, specifically, on defense strategy selection, and the experiment results show that the Satisficing Trade-Off Method (STOM scalarization approach performs better than linear scalarization or GUESS method. The results of this paper can aid network security agents attempting to find an optimal defense policy for network security games.

  17. Deep Learning for Detection of Object-Based Forgery in Advanced Video

    Directory of Open Access Journals (Sweden)

    Ye Yao

    2017-12-01

    Full Text Available Passive video forensics has drawn much attention in recent years. However, research on detection of object-based forgery, especially for forged video encoded with advanced codec frameworks, is still a great challenge. In this paper, we propose a deep learning-based approach to detect object-based forgery in the advanced video. The presented deep learning approach utilizes a convolutional neural network (CNN to automatically extract high-dimension features from the input image patches. Different from the traditional CNN models used in computer vision domain, we let video frames go through three preprocessing layers before being fed into our CNN model. They include a frame absolute difference layer to cut down temporal redundancy between video frames, a max pooling layer to reduce computational complexity of image convolution, and a high-pass filter layer to enhance the residual signal left by video forgery. In addition, an asymmetric data augmentation strategy has been established to get a similar number of positive and negative image patches before the training. The experiments have demonstrated that the proposed CNN-based model with the preprocessing layers has achieved excellent results.

  18. Statistical learning of recurring sound patterns encodes auditory objects in songbird forebrain.

    Science.gov (United States)

    Lu, Kai; Vicario, David S

    2014-10-07

    Auditory neurophysiology has demonstrated how basic acoustic features are mapped in the brain, but it is still not clear how multiple sound components are integrated over time and recognized as an object. We investigated the role of statistical learning in encoding the sequential features of complex sounds by recording neuronal responses bilaterally in the auditory forebrain of awake songbirds that were passively exposed to long sound streams. These streams contained sequential regularities, and were similar to streams used in human infants to demonstrate statistical learning for speech sounds. For stimulus patterns with contiguous transitions and with nonadjacent elements, single and multiunit responses reflected neuronal discrimination of the familiar patterns from novel patterns. In addition, discrimination of nonadjacent patterns was stronger in the right hemisphere than in the left, and may reflect an effect of top-down modulation that is lateralized. Responses to recurring patterns showed stimulus-specific adaptation, a sparsening of neural activity that may contribute to encoding invariants in the sound stream and that appears to increase coding efficiency for the familiar stimuli across the population of neurons recorded. As auditory information about the world must be received serially over time, recognition of complex auditory objects may depend on this type of mnemonic process to create and differentiate representations of recently heard sounds.

  19. Influence of introduction of e-based distance learning on student experience and performance

    DEFF Research Database (Denmark)

    Jensen, Pernille Erland; Fritt-Rasmussen, Janne

    2016-01-01

    A new project based course offered by Arctic Technology Centre, Department of Civil Engineering, Technical University of Denmark (DTU) and Department of Bioscience, Aarhus University in collaboration, targets students from the whole circumpolar area. It was developed over a three year period from...... for the students’ selfevaluation, while they did not contribute to their learning. Some contradiction between the group work format of the projects and the online teaching method was experienced by the students. Also student satisfaction decreased slightly - influenced by inconvenient features of the used learning...... being taught in class to being taught 100% online. We evaluated the results by analyzing the students’ performance and experience of the course during the three years. The students’ performance increased over the period of transforming the course. Multiple choice quizzes showed to be efficient tools...

  20. Introduction of e-learning in dental radiology reveals significantly improved results in final examination.

    Science.gov (United States)

    Meckfessel, Sandra; Stühmer, Constantin; Bormann, Kai-Hendrik; Kupka, Thomas; Behrends, Marianne; Matthies, Herbert; Vaske, Bernhard; Stiesch, Meike; Gellrich, Nils-Claudius; Rücker, Martin

    2011-01-01

    Because a traditionally instructed dental radiology lecture course is very time-consuming and labour-intensive, online courseware, including an interactive-learning module, was implemented to support the lectures. The purpose of this study was to evaluate the perceptions of students who have worked with web-based courseware as well as the effect on their results in final examinations. Users (n(3+4)=138) had access to the e-program from any networked computer at any time. Two groups (n(3)=71, n(4)=67) had to pass a final exam after using the e-course. Results were compared with two groups (n(1)=42, n(2)=48) who had studied the same content by attending traditional lectures. In addition a survey of the students was statistically evaluated. Most of the respondents reported a positive attitude towards e-learning and would have appreciated more access to computer-assisted instruction. Two years after initiating the e-course the failure rate in the final examination dropped significantly, from 40% to less than 2%. The very positive response to the e-program and improved test scores demonstrated the effectiveness of our e-course as a learning aid. Interactive modules in step with clinical practice provided learning that is not achieved by traditional teaching methods alone. To what extent staff savings are possible is part of a further study. Copyright © 2010 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

  1. Machine learning of radial basis function neural network based on Kalman filter: Introduction

    Directory of Open Access Journals (Sweden)

    Vuković Najdan L.

    2014-01-01

    Full Text Available This paper analyzes machine learning of radial basis function neural network based on Kalman filtering. Three algorithms are derived: linearized Kalman filter, linearized information filter and unscented Kalman filter. We emphasize basic properties of these estimation algorithms, demonstrate how their advantages can be used for optimization of network parameters, derive mathematical models and show how they can be applied to model problems in engineering practice.

  2. Using reusable learning objects (rlos) in injection skills teaching: Evaluations from multiple user types.

    Science.gov (United States)

    Williams, Julia; O'Connor, Mórna; Windle, Richard; Wharrad, Heather J

    2015-12-01

    Clinical skills are a critical component of pre-registration nurse education in the United Kingdom, yet there is widespread concern about the clinical skills displayed by newly-qualified nurses. Novel means of supporting clinical skills education are required to address this. A package of Reusable Learning Objects (RLOs) was developed to supplement pre-registration teaching on the clinical skill of administering injection medication. RLOs are electronic resources addressing a single learning objective whose interactivity facilitates learning. This article evaluates a package of five injection RLOs across three studies: (1) questionnaires administered to pre-registration nursing students at University of Nottingham (UoN) (n=46) evaluating the RLO package as a whole; (2) individual RLOs evaluated in online questionnaires by educators and students from UoN; from other national and international institutions; and healthcare professionals (n=265); (3) qualitative evaluation of the RLO package by UoN injection skills tutors (n=6). Data from all studies were assessed for (1) access to, (2) usefulness, (3) impact and (4) integration of the RLOs. Study one found that pre-registration nursing students rate the RLO package highly across all categories, particularly underscoring the value of their self-test elements. Study two found high ratings in online assessments of individual RLOs by multiple users. The global reach is particularly encouraging here. Tutors reported insufficient levels of student-RLO access, which might be explained by the timing of their student exposure. Tutors integrate RLOs into teaching and agree on their use as teaching supplements, not substitutes for face-to-face education. This evaluation encompasses the first years postpackage release. Encouraging data on evaluative categories in this early review suggest that future evaluations are warranted to track progress as the package is adopted and evaluated more widely. Copyright © 2015 Elsevier Ltd

  3. An introduction to deep learning on biological sequence data: examples and solutions.

    Science.gov (United States)

    Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Sønderby, Casper Kaae; Winther, Ole; Sønderby, Søren Kaae

    2017-11-15

    Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful in image recognition; and the development of tools, applications and code examples are in most cases centered within this field rather than within biology. Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively easily be designed and trained to state-of-the-art performance on three biological sequence problems: prediction of subcellular localization, protein secondary structure and the binding of peptides to MHC Class II molecules. All implementations and datasets are available online to the scientific community at https://github.com/vanessajurtz/lasagne4bio. skaaesonderby@gmail.com. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  4. Application of Multi-Objective Human Learning Optimization Method to Solve AC/DC Multi-Objective Optimal Power Flow Problem

    Science.gov (United States)

    Cao, Jia; Yan, Zheng; He, Guangyu

    2016-06-01

    This paper introduces an efficient algorithm, multi-objective human learning optimization method (MOHLO), to solve AC/DC multi-objective optimal power flow problem (MOPF). Firstly, the model of AC/DC MOPF including wind farms is constructed, where includes three objective functions, operating cost, power loss, and pollutant emission. Combining the non-dominated sorting technique and the crowding distance index, the MOHLO method can be derived, which involves individual learning operator, social learning operator, random exploration learning operator and adaptive strategies. Both the proposed MOHLO method and non-dominated sorting genetic algorithm II (NSGAII) are tested on an improved IEEE 30-bus AC/DC hybrid system. Simulation results show that MOHLO method has excellent search efficiency and the powerful ability of searching optimal. Above all, MOHLO method can obtain more complete pareto front than that by NSGAII method. However, how to choose the optimal solution from pareto front depends mainly on the decision makers who stand from the economic point of view or from the energy saving and emission reduction point of view.

  5. Mathematics education and students with learning disabilities: introduction to the special series.

    Science.gov (United States)

    Rivera, D P

    1997-01-01

    The prevalence of students with mathematics learning disabilities has triggered an interest among special education researchers and practitioners in developing an understanding of the needs of this group of students, and in identifying effective instructional programming to foster their mathematical performance during the school years and into adulthood. Research into the characteristics of students with mathematics learning disabilities is being approached from different perspectives, including developmental, neurological and neuropsychological, and educational. This diversity helps us develop a broader understanding of students' learning needs and difficulties. Special education assessment practices encompass a variety of approaches, including norm-referenced, criterion-referenced, and nonstandardized procedures, depending on the specific assessment questions professionals seek to answer. Students' mathematical knowledge and conceptual understanding must be examined to determine their strengths and weaknesses, curriculum-based progress, and use of cognitive strategies to arrive at mathematical solutions. Research findings have identified empirically validated interventions for teaching mathematics curricula to students with mathematics learning disabilities. Research studies have been grounded in behavioral theory and cognitive psychology, with an emergent interest in the constructivist approach. Although research studies have focused primarily on computational performance, more work is being conducted in the areas of story-problem solving and technology. These areas as well as other math curricular skills require further study. Additionally, the needs of adults with math LD have spurred educators to examine the elementary and secondary math curricula and determine ways to infuse them with life skills instruction accordingly. As the field of mathematics special education continues to evolve, special educators must remain cognizant of the developments in and

  6. Curriculum development for a national cardiotocography education program: a Delphi survey to obtain consensus on learning objectives.

    Science.gov (United States)

    Thellesen, Line; Hedegaard, Morten; Bergholt, Thomas; Colov, Nina P; Hoegh, Stinne; Sorensen, Jette L

    2015-08-01

    To define learning objectives for a national cardiotocography (CTG) education program based on expert consensus. A three-round Delphi survey. One midwife and one obstetrician from each maternity unit in Denmark were appointed based on CTG teaching experience and clinical obstetric experience. Following national and international guidelines, the research group determined six topics as important when using CTG: fetal physiology, equipment, indication, interpretation, clinical management, and communication/responsibility. In the first Delphi round, participants listed one to five learning objectives within the predefined topics. Responses were analyzed by a directed approach to content analysis. Phrasing was modified in accordance with Bloom's taxonomy. In the second and third Delphi rounds, participants rated each objective on a five-point relevance scale. Consensus was predefined as objectives with a mean rating value of ≥ 3. A prioritized list of CTG learning objectives. A total of 42 midwives and obstetricians from 21 maternity units were invited to participate, of whom 26 completed all three Delphi rounds, representing 18 maternity units. The final prioritized list included 40 objectives. The highest ranked objectives emphasized CTG interpretation and clinical management. The lowest ranked objectives emphasized fetal physiology. Mean ratings of relevance ranged from 3.15 to 5.00. National consensus on CTG learning objectives was achieved using the Delphi methodology. This was an initial step in developing a valid CTG education program. A prioritized list of objectives will clarify which topics to emphasize in a CTG education program. © 2015 Nordic Federation of Societies of Obstetrics and Gynecology.

  7. Transforming Clinical Imaging and 3D Data for Virtual Reality Learning Objects: HTML5 and Mobile Devices Implementation

    Science.gov (United States)

    Trelease, Robert B.; Nieder, Gary L.

    2013-01-01

    Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android…

  8. Concept Maps as Instructional Tools for Improving Learning of Phase Transitions in Object-Oriented Analysis and Design

    Science.gov (United States)

    Shin, Shin-Shing

    2016-01-01

    Students attending object-oriented analysis and design (OOAD) courses typically encounter difficulties transitioning from requirements analysis to logical design and then to physical design. Concept maps have been widely used in studies of user learning. The study reported here, based on the relationship of concept maps to learning theory and…

  9. Pre-Service and In-Service Teachers' Experiences of Learning to Program in an Object-Oriented Language

    Science.gov (United States)

    Govender, I.; Grayson, D. J.

    2008-01-01

    This paper presents the results of an investigation into the various ways in which pre-service and in-service teachers experience learning to program in an object-oriented language. Both groups of teachers were enrolled in university courses. In most cases, the pre-service teachers were learning to program for the first time, while the in-service…

  10. Associative vocabulary learning: development and testing of two paradigms for the (re-) acquisition of action- and object-related words.

    Science.gov (United States)

    Freundlieb, Nils; Ridder, Volker; Dobel, Christian; Enriquez-Geppert, Stefanie; Baumgaertner, Annette; Zwitserlood, Pienie; Gerloff, Christian; Hummel, Friedhelm C; Liuzzi, Gianpiero

    2012-01-01

    Despite a growing number of studies, the neurophysiology of adult vocabulary acquisition is still poorly understood. One reason is that paradigms that can easily be combined with neuroscientfic methods are rare. Here, we tested the efficiency of two paradigms for vocabulary (re-) acquisition, and compared the learning of novel words for actions and objects. Cortical networks involved in adult native-language word processing are widespread, with differences postulated between words for objects and actions. Words and what they stand for are supposed to be grounded in perceptual and sensorimotor brain circuits depending on their meaning. If there are specific brain representations for different word categories, we hypothesized behavioural differences in the learning of action-related and object-related words. Paradigm A, with the learning of novel words for body-related actions spread out over a number of days, revealed fast learning of these new action words, and stable retention up to 4 weeks after training. The single-session Paradigm B employed objects and actions. Performance during acquisition did not differ between action-related and object-related words (time*word category: p = 0.01), but the translation rate was clearly better for object-related (79%) than for action-related words (53%, p = 0.002). Both paradigms yielded robust associative learning of novel action-related words, as previously demonstrated for object-related words. Translation success differed for action- and object-related words, which may indicate different neural mechanisms. The paradigms tested here are well suited to investigate such differences with neuroscientific means. Given the stable retention and minimal requirements for conscious effort, these learning paradigms are promising for vocabulary re-learning in brain-lesioned people. In combination with neuroimaging, neuro-stimulation or pharmacological intervention, they may well advance the understanding of language learning

  11. Introduction: digital games as a context for cognitive development, learning, and developmental research.

    Science.gov (United States)

    Blumberg, Fran C; Fisch, Shalom M

    2013-01-01

    The authors present reasons why developmental psychologists should care about children's and adolescents' digital game play. These reasons may be identified as: a) digital game play is an integral aspect of children's and adolescents' lives; b) digital game play contributes to learning and cognitive development; and c) developmental research has the potential to contribute to effective educational game design. The authors expand on these reasons with the goal of introducing or reintroducing to developmental psychologists a rich and very relevant context in which to examine children's and adolescents' applied cognitive development. Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company.

  12. Introduction of a Nonfermented Bread-like Food as a Learning Material in Home Economics Education

    OpenAIRE

    冨永, 美穂子; 小林, 京子; 森, 敏昭; 佐藤, 一精

    1999-01-01

    An attempt was made to prepare a nonfermented bread-like food usable as home economics teaching and learning material. The new receipe could be a model for showing the leavening process of bread by use of sodium bicarbonate and yogurt as an acidifying agent. In this study, the nonfermented bread was used in the class by forty second grade high school students on the theme of "Infant foods — focusing on snacks— " The students favorably evaluated the bread-like food as being easy to prepare...

  13. Fast automated segmentation of multiple objects via spatially weighted shape learning

    Science.gov (United States)

    Chandra, Shekhar S.; Dowling, Jason A.; Greer, Peter B.; Martin, Jarad; Wratten, Chris; Pichler, Peter; Fripp, Jurgen; Crozier, Stuart

    2016-11-01

    Active shape models (ASMs) have proved successful in automatic segmentation by using shape and appearance priors in a number of areas such as prostate segmentation, where accurate contouring is important in treatment planning for prostate cancer. The ASM approach however, is heavily reliant on a good initialisation for achieving high segmentation quality. This initialisation often requires algorithms with high computational complexity, such as three dimensional (3D) image registration. In this work, we present a fast, self-initialised ASM approach that simultaneously fits multiple objects hierarchically controlled by spatially weighted shape learning. Prominent objects are targeted initially and spatial weights are progressively adjusted so that the next (more difficult, less visible) object is simultaneously initialised using a series of weighted shape models. The scheme was validated and compared to a multi-atlas approach on 3D magnetic resonance (MR) images of 38 cancer patients and had the same (mean, median, inter-rater) Dice’s similarity coefficients of (0.79, 0.81, 0.85), while having no registration error and a computational time of 12-15 min, nearly an order of magnitude faster than the multi-atlas approach.

  14. Rapid Object Detection Systems, Utilising Deep Learning and Unmanned Aerial Systems (uas) for Civil Engineering Applications

    Science.gov (United States)

    Griffiths, D.; Boehm, J.

    2018-05-01

    With deep learning approaches now out-performing traditional image processing techniques for image understanding, this paper accesses the potential of rapid generation of Convolutional Neural Networks (CNNs) for applied engineering purposes. Three CNNs are trained on 275 UAS-derived and freely available online images for object detection of 3m2 segments of railway track. These includes two models based on the Faster RCNN object detection algorithm (Resnet and Incpetion-Resnet) as well as the novel onestage Focal Loss network architecture (Retinanet). Model performance was assessed with respect to three accuracy metrics. The first two consisted of Intersection over Union (IoU) with thresholds 0.5 and 0.1. The last assesses accuracy based on the proportion of track covered by object detection proposals against total track length. In under six hours of training (and two hours of manual labelling) the models detected 91.3 %, 83.1 % and 75.6 % of track in the 500 test images acquired from the UAS survey Retinanet, Resnet and Inception-Resnet respectively. We then discuss the potential for such applications of such systems within the engineering field for a range of scenarios.

  15. CERN Technical Training 2003: Learning for the LHC! : AXEL-2003  -  Introduction to Particle Accelerators

    CERN Multimedia

    2003-01-01

    AXEL-2003 is a course given at CERN within the framework of the Technical Training Programme. The course will present an introduction to particle accelerators. Known in the past as the PS Complex Operation Course (or the "PS Shutdown Course"), and organised by the ex-PS division until last year, it is now organised as a joint venture between the AB division and Technical Training, and open to a wider CERN community. The AXEL-2003 course series is designed for technicians who are operating an accelerator, or whose work is closely linked to accelerators, but it is open to all people (technicians, engineers, physicists) interested in this field. The course does not require any prior knowledge on accelerators. However, some basic knowledge on trigonometry, matrices and differential equations, and some basic notions of magnetism would be an advantage. The course and the course supports will be in English, with questions and answers also in French. Lectures will be recorded and available online via the Web Lectu...

  16. CERN Technical Training 2002: Learning for the LHC! Introduction à la CAO CADENCE - French version only

    CERN Multimedia

    Davide Vitè

    2002-01-01

    Dans le cadre du suivi du programme ELEC-2002 : Electronics in HEP, une nouvelle session du cours Introduction à la CAO CADENCE. De la saisie de schéma Concept-HDL au PCB est programmée pour le 4 et 5 juin prochains. Le cours, en français, est gratuit et sera animé par Serge Brobecker de la division IT/PS/EAS. Objectif de cette formation est de donner une vue générale du système CAO CADENCE utilisé au CERN, et d'en connaître l'environnement et les possibilités, en acquérant des notions suffisantes pour utiliser la saisie de schéma. Le cours est ciblé pour une audience d'ingénieurs et techniciens désirant utiliser les outils CAO disponibles au CERN, afin de concevoir des circuits logiques et des circuits programmables digitaux. Plus d'information, et possibilité d'inscription par EDH sont accessibles depuis les pages «...

  17. Libraries in Second Life: New Approaches to Education, Information Sharing, Learning Object Implementation, User Interactions and Collaborations

    Directory of Open Access Journals (Sweden)

    Susan Smith Nash

    2009-10-01

    Full Text Available Three-dimensional virtual worlds such as Second Life continue to expand the way they provide information, learning activities, and educational applications. This paper explores the types of learning activities that take place in Second Life and discusses how learning takes place, with a view toward developing effective instructional strategies. As learning objects are being launched in Second Life, new approaches to collaboration, interactivity, and cognition are being developed. Many learning-centered islands appeal to individuals who benefit from interaction with peers and instructors, and who can access learning objects such as information repositories, simulations, and interactive animations. The key advantages that Second Life offers include engaging and meaningful interaction with fellow learners, media-rich learning environments with embedded video, graphics, and interactive quizzes and assessments, an engaging environment for simulations such as virtual labs, and culturally inclusive immersive environments. However, because of the steep learning curve, technical difficulties, and cultural diversity, learners may become frustrated in Second Life. Since Second Life is social learning environment that emphasizes the creation of a self, effective learning requires step-by-step empowerment of that new, constructed self.

  18. A single-rate context-dependent learning process underlies rapid adaptation to familiar object dynamics.

    Science.gov (United States)

    Ingram, James N; Howard, Ian S; Flanagan, J Randall; Wolpert, Daniel M

    2011-09-01

    Motor learning has been extensively studied using dynamic (force-field) perturbations. These induce movement errors that result in adaptive changes to the motor commands. Several state-space models have been developed to explain how trial-by-trial errors drive the progressive adaptation observed in such studies. These models have been applied to adaptation involving novel dynamics, which typically occurs over tens to hundreds of trials, and which appears to be mediated by a dual-rate adaptation process. In contrast, when manipulating objects with familiar dynamics, subjects adapt rapidly within a few trials. Here, we apply state-space models to familiar dynamics, asking whether adaptation is mediated by a single-rate or dual-rate process. Previously, we reported a task in which subjects rotate an object with known dynamics. By presenting the object at different visual orientations, adaptation was shown to be context-specific, with limited generalization to novel orientations. Here we show that a multiple-context state-space model, with a generalization function tuned to visual object orientation, can reproduce the time-course of adaptation and de-adaptation as well as the observed context-dependent behavior. In contrast to the dual-rate process associated with novel dynamics, we show that a single-rate process mediates adaptation to familiar object dynamics. The model predicts that during exposure to the object across multiple orientations, there will be a degree of independence for adaptation and de-adaptation within each context, and that the states associated with all contexts will slowly de-adapt during exposure in one particular context. We confirm these predictions in two new experiments. Results of the current study thus highlight similarities and differences in the processes engaged during exposure to novel versus familiar dynamics. In both cases, adaptation is mediated by multiple context-specific representations. In the case of familiar object dynamics

  19. A single-rate context-dependent learning process underlies rapid adaptation to familiar object dynamics.

    Directory of Open Access Journals (Sweden)

    James N Ingram

    2011-09-01

    Full Text Available Motor learning has been extensively studied using dynamic (force-field perturbations. These induce movement errors that result in adaptive changes to the motor commands. Several state-space models have been developed to explain how trial-by-trial errors drive the progressive adaptation observed in such studies. These models have been applied to adaptation involving novel dynamics, which typically occurs over tens to hundreds of trials, and which appears to be mediated by a dual-rate adaptation process. In contrast, when manipulating objects with familiar dynamics, subjects adapt rapidly within a few trials. Here, we apply state-space models to familiar dynamics, asking whether adaptation is mediated by a single-rate or dual-rate process. Previously, we reported a task in which subjects rotate an object with known dynamics. By presenting the object at different visual orientations, adaptation was shown to be context-specific, with limited generalization to novel orientations. Here we show that a multiple-context state-space model, with a generalization function tuned to visual object orientation, can reproduce the time-course of adaptation and de-adaptation as well as the observed context-dependent behavior. In contrast to the dual-rate process associated with novel dynamics, we show that a single-rate process mediates adaptation to familiar object dynamics. The model predicts that during exposure to the object across multiple orientations, there will be a degree of independence for adaptation and de-adaptation within each context, and that the states associated with all contexts will slowly de-adapt during exposure in one particular context. We confirm these predictions in two new experiments. Results of the current study thus highlight similarities and differences in the processes engaged during exposure to novel versus familiar dynamics. In both cases, adaptation is mediated by multiple context-specific representations. In the case of familiar

  20. Construction and validation of clinical contents for development of learning objects.

    Science.gov (United States)

    Hortense, Flávia Tatiana Pedrolo; Bergerot, Cristiane Decat; Domenico, Edvane Birelo Lopes de

    2018-01-01

    to describe the process of construction and validation of clinical contents for health learning objects, aimed at patients in the treatment of head and neck cancer. descriptive, methodological study. The development of the script and the storyboard were based on scientific evidence and submitted to the appreciation of specialists for validation of content. The agreement index was checked quantitatively and the suggestions were qualitatively evaluated. The items described in the roadmap were approved by 99% of expert experts. The suggestions for adjustments were inserted in their entirety in the final version. The free-marginal kappa statistical test, for multiple evaluators, presented value equal to 0.68%, granting a substantial agreement. The steps taken in the construction and validation of the content for the production of educational material for patients with head and neck cancer were adequate, relevant and suitable for use in other subjects.