705 resultados para interactive learning environments
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Dissertação de mest. em Observação e Análise da Relação Educativa, Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2005
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Presentation Research of the Practicum and externships has a long history and involves important aspects for analysis. For example, the recent changes taking place in university grades allot more credits to the Practicum course in all grades, and the Company-University collaboration has exposed the need to study in new learning environments. The rise of ICT practices like ePortfolios, which require technological solutions and methods supported by experimentation, study and research, require particular examination due to the dynamic momentum of technological innovation. Tutoring the Practicum and externships requires remote monitoring and communication using ePortfolios, and competence-based assessment and students’ requirement to provide evidence of learning require the best tutoring methods available with ePortfolios. Among the elements of ePortfolios, eRubrics emerge as a tool for design, communication and competence-assessment. This project aims to consolidate a research line on eRubrics, already undertaken by another project -I+D+i [EDU2010-15432]- in order to expand the network of researchers and Centres of Excellence in Spain and other countries: Harvard University in USA, University of Cologne in Germany, University of Colima in Mexico, Federal University of Parana, University of Santa Catarina in Brasil, and Stockholm University in Sweden(1). This new project [EDU2013-41974-P](2) examines the impact of eRubrics on tutoring and on assessing the Practicum course and externships. Through technology, distance tutoring grants an extra dimension to human communication. New forms of teaching with technological mediation are on the rise and are highly valuable, not only for formal education but especially in both public and private sectors of non-formal education, such as occupational training, unemployed education and public servant training. Objectives Obj. 1. To analyse models of technology used in assessing learning in the Practicum of all grades at Spanish Faculties of Education. Obj. 2. To study models of learning assessment measured by eRubrics in the Practicum. Obj. 3. To analyse communication through eRubrics between students and their tutors at university and practice centres, focusing on students’ understanding of competences and evidences to be assessed in the Practicum. Obj. 4. To design assessment services and products, in order to federate companies and practice centres with training institutions. Among many other features, it has the following functions CoRubric(3) 1. The possibility to assess people, products or services by using rubrics. 2. Ipsative assessment. 3. Designing fully flexible rubrics. 4. Drafting reports and exporting results from eRubrics in a project. 5. Students and teachers talk about the evaluation and application of the criteria Methodology, Methods, Research Instruments or Sources Used The project will use techniques to collect and analyse data from two methodological approaches: 1. In order to meet the first objective, we suggest an initial exploratory descriptive study (Buendía Eisman, Colás Bravo & Hernández Pina, 1998), which involves conducting interviews with Practicum coordinators from all educational grades across Spain, as well as analysing the contents of the teaching guides used in all educational grades across Spain. 55 academic managers were interviewed from about 10 faculties of education in public universities in Spain (20%), and course guides 376 universities from 36 public institutions in Spain (72%) are analyzed. 2. In order to satisfy the second objective, 7 universities have been selected to implement the project two instruments aimed at tutors practice centers and tutors of the faculty. All instruments for collecting data were validated by experts using the Delphi method. The selection of experts had three aspects: years of professional experience, number and quality of publications in the field (Practicum, Educational Technology and Teacher Training), and self-rating of their knowledge. The resulting data was calculated using the Coefficient of Competence (Kcomp) (Martínez, Zúñiga, Sala & Meléndez, 2012). Results in all cases showed an average experience of more than 0.09 points. The two instruments of the first objective were validated during the first half of 2014-15 year, data collected during the second half. And the second objective during the first half of 2015-16 year and data collection for the second half. The set of four instruments (two for each objective 1 and 2) have the same dimensions as each of the sources (Coordinators, course guides, tutors of practice centers and faculty) as they were: a. Institution-Organization, b. Nature of internships, c. Relationship between agents, d. Management Practicum, e. Assessment. F. Technological support, g. Training and h. Assessment Ethics. Conclusions, Expected Outcomes or Findings The first results respond to Objective 1, where we find different conclusions depending on each of the six dimensions. In the case of internal regulations governing the organization and structure of the practicum, we note that most traditional degrees (Elementary and Primary grades) share common internal rules, in particular development methodology and criteria against other grades (Pedagogy and Social Education ). It is also true that the centers of practices in last cases are very different from each other and can be a public institution, a school, a company, a museum, etc. The memory with a 56.34% and 43.67% daily activities are more demands on students in all degrees, Lesson plans 28.18% 19.72% Portfolio 26.7% Didactic units and Others 32,4%. The technical support has been mainly used the platform of the University 47.89% and 57.75% Email, followed by other services and tools 9.86% and rubric platforms 1.41%. The assessment criteria are divided between formal aspects of 12.38%, Written expresión 12.38%, treatment of the subject 14.45%, methodological rigor of work 10.32%, and Level of argument Clarity and relevance of conclusions 10.32%. In general terms, we could say that there is a trend and debate between formative assessment against a accreditation. It has not yet had sufficient time to further study and confront other dimensions and sources of information. We hope to provide more analysis and conclusions in the conference date.
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Il existe une grande diversité dans les programmes de formation en sciences infirmières concernant l’organisation de stages d’immersion clinique à l’international et le soutien offert aux étudiantes (Kokko, 2011). Cette étude de cas qualitative explore, selon la perspective d’étudiantes infirmières, les éléments de l’environnement d’apprentissage de la pratique en contexte de diversité culturelle dans le cadre d’une immersion clinique à l’international. Le modèle constructiviste de développement de la compétence culturelle de Blanchet Garneau (2013 ; Blanchet Garneau et Pepin, 2015a) a servi de cadre de référence à cette étude. Dix étudiantes ayant participé à l’immersion clinique ont pris part à une entrevue individuelle en profondeur. Suite à une analyse qualitative thématique des données inspirée de Miles, Huberman et Saldana (2014), trois thèmes inter reliés ressortent : accompagnement par de multiples collaborations, trouver sa place dans le milieu d’accueil et écart entre les attentes des étudiantes et l’expérience vécue. Ces thèmes permettent de comprendre l’environnement d’apprentissage des étudiantes dans le développement de leur compétence culturelle, notamment leur capacité de s’ouvrir aux différentes réalités en contexte de diversité culturelle. Puisque peu d’écrits abordent spécifiquement les éléments de l’environnement d’apprentissage liés à la capacité de s’ouvrir aux différentes réalités de la pratique en contexte de diversité culturelle à l’étranger, cette étude contribue à l’approfondissement des éléments de l’environnement d’apprentissage présenté dans le modèle de Blanchet Garneau (2013 ; Blanchet Garneau et Pepin, 2015) et constitue un ajout aux connaissances actuelles liées au développement de la compétence culturelle.
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Il existe une grande diversité dans les programmes de formation en sciences infirmières concernant l’organisation de stages d’immersion clinique à l’international et le soutien offert aux étudiantes (Kokko, 2011). Cette étude de cas qualitative explore, selon la perspective d’étudiantes infirmières, les éléments de l’environnement d’apprentissage de la pratique en contexte de diversité culturelle dans le cadre d’une immersion clinique à l’international. Le modèle constructiviste de développement de la compétence culturelle de Blanchet Garneau (2013 ; Blanchet Garneau et Pepin, 2015a) a servi de cadre de référence à cette étude. Dix étudiantes ayant participé à l’immersion clinique ont pris part à une entrevue individuelle en profondeur. Suite à une analyse qualitative thématique des données inspirée de Miles, Huberman et Saldana (2014), trois thèmes inter reliés ressortent : accompagnement par de multiples collaborations, trouver sa place dans le milieu d’accueil et écart entre les attentes des étudiantes et l’expérience vécue. Ces thèmes permettent de comprendre l’environnement d’apprentissage des étudiantes dans le développement de leur compétence culturelle, notamment leur capacité de s’ouvrir aux différentes réalités en contexte de diversité culturelle. Puisque peu d’écrits abordent spécifiquement les éléments de l’environnement d’apprentissage liés à la capacité de s’ouvrir aux différentes réalités de la pratique en contexte de diversité culturelle à l’étranger, cette étude contribue à l’approfondissement des éléments de l’environnement d’apprentissage présenté dans le modèle de Blanchet Garneau (2013 ; Blanchet Garneau et Pepin, 2015) et constitue un ajout aux connaissances actuelles liées au développement de la compétence culturelle.
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In the digital era the availability of resources for online learning has multiplied along with personal learning environments. Proof of this is the proliferation of phenomena in the internet like Open Educational Resources or the Massive Open Online Course (MOOC) and the vast diversity of Online Communities of Practice (OCoP). The former is the object of study in the present Thesis. As Juan Freire (2012: 71) wrote: “The education is already happening, specially outside of educational institutions and formal process of education.” The OCoP garnered attention in the research community during the last few years. And, according to published research, online communities are turning into an emerging phenomena not only for “digital natives” (White, 2011) but also for lifelong learning (Wenger et al, 2002; Dubé et al, 2006; Lai et al, 2006) and specially as a tool for teacher training (Garrido, 2003; Murua, 2015). Teachers develop, through these tools, networks of self support, share didactic material, and look for solutions to common problems while undertaking initiatives towards even more collaboration. The present thesis is a study of Comunidad Todoele (CT) one of the most reputable networks for Spanish as a Foreign Language Teachers (ELE, from it’s Spanish acronym). Currently the community has near 11,000 members and it’s main purpose is researching, describing, and theorising the formative processes that happen inside the network from the perspective of those experiencing it. Debate is centred on the questions: What relevant knowledge do the teachers get from the community? In which way are these processes of learning developed? In other words, How, and what, do teachers learn in these environment?..
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Current workplace demands newer forms of literacies that go beyond the ability to decode print. These involve not only competence to operate digital tools, but also the ability to create, represent, and share meaning in different modes and formats; ability to interact, collaborate and communicate effectively using digital tools, and engage critically with technology for developing one’s knowledge, skills, and full participation in civic, economic, and personal matters. This essay examines the application of the ecology of resources (EoR) model for delivering language learning outcomes (in this case, English) through blended classroom environments that use contextually available resources. The author proposes the implementation of the EoR model in blended learning environments to create authentic and sustainable learning environments for skilling courses. Applying the EoR model to Indian skilling instruction contexts, the article discusses how English language and technology literacy can be delivered using contextually available resources through a blended classroom environment. This would facilitate not only acquisition of language and digital literacy outcomes, but also consequent content literacy gain to a certain extent. This would ensure satisfactory achievement of not only communication/language literacy and technological literacy, but also active social participation, lifelong learning, and learner autonomy.
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Recibido 01 de diciembre de 2010 • Aceptado 09 de marzo de 2011 • Corregido 19 de abril de 2011 Resumen. Esta investigación analiza el desarrollo de la escritura en español de niños indígenas tarahumaras bilingües (del Estado de Chihuahua, México), desde varias perspectivas: la psicogenética, relacionada con el avance en el proceso de construcción del sistema de escritura de los niños investigados; la social, mediante al análisis del contexto familiar, cultural y el entorno del asentamiento de convivencia de los mismos; y la pedagógica, aunque más breve, a través del ambiente áulico dentro de dos escuelas muy diferentes: una regular y otra indígena. El planteamiento central de la investigación giró en torno a la percepción de los múltiples factores que se relacionan con el aprendizaje de la escritura, en un intento de escudriñar analíticamente los elementos posibles de afectación en el proceso referido. La metodología cualitativa utilizada posibilitó, mediante el estudio de casos, la observación, la entrevista, la videograbación y el análisis de los cuadernos de los niños, percibir situaciones y rescatar evidencias que, mediante el estudio transversal de eventos, personas y contextos, dieron como resultado interpretaciones sobre los factores sociales, culturales, cognitivos y pedagógicos que se percibieron asociados al aprendizaje de la escritura de una lengua que no es la materna, en niños indígenas migrantes establecidos en un medio distinto al de sus ancestros. Se atiende principalmente a la hipótesis de que, en las circunstancias de los casos estudiados, es más conveniente que aprendan a escribir primero en su segunda lengua y, posteriormente, en la materna, si así lo requieren.
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Location based games (LBGs) provide an opportunity to look at how new technologies can support a reciprocal relationship between formal classroom learning and learning that can potentially occur in other everyday environments. Fundamentally many games are intensely engaging due to the resulting social interactions and technical challenges they provide to individual and group players. By introducing the use of mobile devices we can transport these characteristics of games into everyday spaces. LBGs are understood as a broad genre incorporating ideas and tools that provide many unique opportunities for us to to reveal, create and even subvert various social, cultural, technical, and scientific interpretations of place, in particular places where learning is sometimes problematic.--------- A team of Queensland game developers have learnt a great deal through designing a range of LBGs such as SCOOT for various user groups and places. While these LBGs were primarily designed as social events, we found that the players recognised and valued the game as an opportunity to learn about their environment, it's history, cultural significance, inhabitants, services etc. Since identifying the strong pedagogical outcomes of LBGs, the team has created a set of authoring tools for people to design and host their own LBGs. A particular version of this is known as MiLK the mobile learning kit for schools.---------- This presentation will include examples of how LBGs have been used to improve the teaching and learning outcomes in various contexts. Participants will be introduced to MiLK and invited to trial it in their own classrooms with students.
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Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This final report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.
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Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This Industry focused report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.
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The aim of this research is to examine the changing nature of risks that face journalists and media workers in the world's difficult, remote and hostile environments, and consider the 'adequacy' of managing hostile environment safety courses that some media organizations require prior to foreign assignments. The study utilizes several creative works and contributions to this area of analysis, which includes a documentary film production, course contributions, an emergency reference handbook, security and incident management reviews and a template for evacuation and contingency planning. The research acknowledges that employers have a 'duty of care' to personnel working in these environments, identifies the necessity for pre-deployment training and support, and provides a solution for organizations that wish to initiate a comprehensive framework to advise, monitor, protect and respond to incidents. Finally, it explores the possible development of a unique and holistic service to facilitate proactive and responsive support, in the form of a new profession of 'Editorial Logistics Officer' or 'Editorial Safety Officer' within media organizations. This area of research is vitally important to the profession, and the intended contribution is to introduce a simple and cost-efficient framework for media organizations that desire to implement pre-deployment training and field-support – as these programs save lives. The complete proactive and responsive services may be several years from implementation. However, this study demonstrates that the facilitation of Managing Hostile Environment (MHE) courses should be the minimum professional standard. These courses have saved lives in the past and they provide journalists with the tools to "cover the story, and not become the story."
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The first use of computing technologies and the development of land use models in order to support decision-making processes in urban planning date back to as early as mid 20th century. The main thrust of computing applications in urban planning is their contribution to sound decision-making and planning practices. During the last couple of decades many new computing tools and technologies, including geospatial technologies, are designed to enhance planners' capability in dealing with complex urban environments and planning for prosperous and healthy communities. This chapter, therefore, examines the role of information technologies, particularly internet-based geographic information systems, as decision support systems to aid public participatory planning. The chapter discusses challenges and opportunities for the use of internet-based mapping application and tools in collaborative decision-making, and introduces a prototype internet-based geographic information system that is developed to integrate public-oriented interactive decision mechanisms into urban planning practice. This system, referred as the 'Community-based Internet GIS' model, incorporates advanced information technologies, distance learning, sustainable urban development principles and community involvement techniques in decision-making processes, and piloted in Shibuya, Tokyo, Japan.
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The problem of decision making in an uncertain environment arises in many diverse contexts: deciding whether to keep a hard drive spinning in a net-book; choosing which advertisement to post to a Web site visitor; choosing how many newspapers to order so as to maximize profits; or choosing a route to recommend to a driver given limited and possibly out-of-date information about traffic conditions. All are sequential decision problems, since earlier decisions affect subsequent performance; all require adaptive approaches, since they involve significant uncertainty. The key issue in effectively solving problems like these is known as the exploration/exploitation trade-off: If I am at a cross-roads, when should I go in the most advantageous direction among those that I have already explored, and when should I strike out in a new direction, in the hopes I will discover something better?