959 resultados para distributed learning
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Peer reviewed
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Several Web-based on-line judges or on-line programming trainers have been developed in order to allow students to train their programming skills. However, their pedagogical functionalities in the learning of programming have not been clearly defined. EduJudge is a project which aims to integrate the “UVA On-line Judge”, an existing on-line programming trainer with an important number of problems and users, into an effective educational environment consisting of the e-learning platform Moodle and the competitive learning tool QUESTOURnament. The result is the EduJudge system which allows teachers to apply different pedagogical approaches using a proven e-learning platform, makes problems easy to search through an effective search engine, and provides an automated evaluation of the solutions submitted to these problems. The final objective is to provide new learning strategies to motivate students and present programming as an easy and attractive challenge. EduJudge has been tried and tested in three algorithms and programming courses in three different Engineering degrees. The students’ motivation and satisfaction levels were analysed alongside the effects of the EduJudge system on students’ academic outcomes. Results indicate that both students and teachers found that among other multiple benefits the EduJudge system facilitates the learning process. Furthermore, the experi- ment also showed an improvement in students’ academic outcomes. It must be noted that the students’ level of satisfaction did not depend on their computer skills or their gender.
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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 learning process; in fact, this is also the main objective of education. However, some barriers to the development of a LO economy, such as the granularity and editability of LO, must be overcome. Furthermore, some enablers, such as learning design generation and standards usage, must be promoted in order to enhance LO economy. For this article, we introduced the integration of distributed learning object repositories (DLOR) as sources of LO that could be placed in adaptive learning designs to assist teachers’ design work. Two main issues presented as a result: how to access distributed LO, and where to place the LO in the learning design. To address these issues, we introduced two processes: LORSE, a distributed LO searching process, and LOOK, a micro context-based positioning process, respectively. Using these processes, the teachers were able to reuse LO from different sources to semi-automatically generate an adaptive learning design without leaving their virtual environment. A layered evaluation yielded good results for the process of placing learning objects from controlled learning object repositories into a learning design, and permitting educators to define different open issues that must be covered when they use uncontrolled learning object repositories for this purpose. We verified the satisfaction users had with our solution
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Resumen tomado de la publicación
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Whether distance learning spells the end of traditional campuses, as some maintain, or whether distance learning instead represents a powerful addition to a growing array of delivery options for higher education, its impact on higher education is great and growing. Distance learning is creating alternative models of teaching and learning, new job descriptions for faculty, and new types of higher education providers. The advent of Distance and Distributed Learning has raised numerous questions about quality and quality assurance: ² How do established distance learning institutions ensure quality? ² What more needs to be done? ² How do quality assurance agencies view the distinction between on- and off-campus teaching and learning? This talk discusses these issues from the viewpoints of funding organisa- tion, quality assurance agencies and the learners.
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The integration of distributed and ubiquitous intelligence has emerged over the last years as the mainspring of transformative advancements in mobile radio networks. As we approach the era of “mobile for intelligence”, next-generation wireless networks are poised to undergo significant and profound changes. Notably, the overarching challenge that lies ahead is the development and implementation of integrated communication and learning mechanisms that will enable the realization of autonomous mobile radio networks. The ultimate pursuit of eliminating human-in-the-loop constitutes an ambitious challenge, necessitating a meticulous delineation of the fundamental characteristics that artificial intelligence (AI) should possess to effectively achieve this objective. This challenge represents a paradigm shift in the design, deployment, and operation of wireless networks, where conventional, static configurations give way to dynamic, adaptive, and AI-native systems capable of self-optimization, self-sustainment, and learning. This thesis aims to provide a comprehensive exploration of the fundamental principles and practical approaches required to create autonomous mobile radio networks that seamlessly integrate communication and learning components. The first chapter of this thesis introduces the notion of Predictive Quality of Service (PQoS) and adaptive optimization and expands upon the challenge to achieve adaptable, reliable, and robust network performance in dynamic and ever-changing environments. The subsequent chapter delves into the revolutionary role of generative AI in shaping next-generation autonomous networks. This chapter emphasizes achieving trustworthy uncertainty-aware generation processes with the use of approximate Bayesian methods and aims to show how generative AI can improve generalization while reducing data communication costs. Finally, the thesis embarks on the topic of distributed learning over wireless networks. Distributed learning and its declinations, including multi-agent reinforcement learning systems and federated learning, have the potential to meet the scalability demands of modern data-driven applications, enabling efficient and collaborative model training across dynamic scenarios while ensuring data privacy and reducing communication overhead.
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The Internet of Vehicles (IoV) paradigm has emerged in recent times, where with the support of technologies like the Internet of Things and V2X , Vehicular Users (VUs) can access different services through internet connectivity. With the support of 6G technology, the IoV paradigm will evolve further and converge into a fully connected and intelligent vehicular system. However, this brings new challenges over dynamic and resource-constrained vehicular systems, and advanced solutions are demanded. This dissertation analyzes the future 6G enabled IoV systems demands, corresponding challenges, and provides various solutions to address them. The vehicular services and application requests demands proper data processing solutions with the support of distributed computing environments such as Vehicular Edge Computing (VEC). While analyzing the performance of VEC systems it is important to take into account the limited resources, coverage, and vehicular mobility into account. Recently, Non terrestrial Networks (NTN) have gained huge popularity for boosting the coverage and capacity of terrestrial wireless networks. Integrating such NTN facilities into the terrestrial VEC system can address the above mentioned challenges. Additionally, such integrated Terrestrial and Non-terrestrial networks (T-NTN) can also be considered to provide advanced intelligent solutions with the support of the edge intelligence paradigm. In this dissertation, we proposed an edge computing-enabled joint T-NTN-based vehicular system architecture to serve VUs. Next, we analyze the terrestrial VEC systems performance for VUs data processing problems and propose solutions to improve the performance in terms of latency and energy costs. Next, we extend the scenario toward the joint T-NTN system and address the problem of distributed data processing through ML-based solutions. We also proposed advanced distributed learning frameworks with the support of a joint T-NTN framework with edge computing facilities. In the end, proper conclusive remarks and several future directions are provided for the proposed solutions.
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Hajautettujen ryhmien käyttöä ja virtuaalista yhteistyötä on tutkittu runsaasti. Useat tutkimukset ovat kuvanneet globaalien tiimien toimintaa ja keskittyneet yritysmaailmaan. Puolustusvoimissa on tutkittu virtuaalisen työskentelyn hyödyntämistä, mutta tutkimukset painottuvat opiskelumenetelmiin. Työn tavoitteena oli selvittää virtuaalisen yhteistyön edellytyksiä ja sen tarjoamia mahdollisuuksia maavoimien tutkimus- ja kehittämistoiminnassa. Kirjallisuuskatsauksessa tarkasteltiin hajautetun organisaation rakennetta ja johtamista, virtuaalisen yhteistyön edellytyksiä sekä eri viestintävälineiden soveltuvuutta erilaisiin tehtäviin. Empiirinen osuus toteutettiin haastattelututkimuksena kolmessa fokusryhmässä laadullisen analyysin menetelmin. Tutkimuksessa saatiin selville, että rakenteelliset ja tekniset edellytykset virtuaalisen yhteistyön hyödyntämiselle ovat olemassa, mutta organisaation sisäinen vuoropuhelu ei toimi. Tämä osin estää virtuaalisen yhteistyön, koska työryhmiä ei muodostu tai ryhmillä ei ole selkeitä tavoitteita. T&K -toiminnan prosessi on kuvattu varsin tarkasti, mutta prosessi ei toimi kuvatulla tavalla. Tutkimus- ja kehittämistoiminnan ohjaus ei onnistu, mikä johtaa epäselvyyksiin resurssien käytön suunnittelussa. Yhtenä tekijänä suunnittelun epäonnistumisessa on projektijohtamisen ja projektinhallinnan osaamattomuus.
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En años recientes,la Inteligencia Artificial ha contribuido a resolver problemas encontrados en el desempeño de las tareas de unidades informáticas, tanto si las computadoras están distribuidas para interactuar entre ellas o en cualquier entorno (Inteligencia Artificial Distribuida). Las Tecnologías de la Información permiten la creación de soluciones novedosas para problemas específicos mediante la aplicación de los hallazgos en diversas áreas de investigación. Nuestro trabajo está dirigido a la creación de modelos de usuario mediante un enfoque multidisciplinario en los cuales se emplean los principios de la psicología, inteligencia artificial distribuida, y el aprendizaje automático para crear modelos de usuario en entornos abiertos; uno de estos es la Inteligencia Ambiental basada en Modelos de Usuario con funciones de aprendizaje incremental y distribuido (conocidos como Smart User Model). Basándonos en estos modelos de usuario, dirigimos esta investigación a la adquisición de características del usuario importantes y que determinan la escala de valores dominantes de este en aquellos temas en los cuales está más interesado, desarrollando una metodología para obtener la Escala de Valores Humanos del usuario con respecto a sus características objetivas, subjetivas y emocionales (particularmente en Sistemas de Recomendación).Una de las áreas que ha sido poco investigada es la inclusión de la escala de valores humanos en los sistemas de información. Un Sistema de Recomendación, Modelo de usuario o Sistemas de Información, solo toman en cuenta las preferencias y emociones del usuario [Velásquez, 1996, 1997; Goldspink, 2000; Conte and Paolucci, 2001; Urban and Schmidt, 2001; Dal Forno and Merlone, 2001, 2002; Berkovsky et al., 2007c]. Por lo tanto, el principal enfoque de nuestra investigación está basado en la creación de una metodología que permita la generación de una escala de valores humanos para el usuario desde el modelo de usuario. Presentamos resultados obtenidos de un estudio de casos utilizando las características objetivas, subjetivas y emocionales en las áreas de servicios bancarios y de restaurantes donde la metodología propuesta en esta investigación fue puesta a prueba.En esta tesis, las principales contribuciones son: El desarrollo de una metodología que, dado un modelo de usuario con atributos objetivos, subjetivos y emocionales, se obtenga la Escala de Valores Humanos del usuario. La metodología propuesta está basada en el uso de aplicaciones ya existentes, donde todas las conexiones entre usuarios, agentes y dominios que se caracterizan por estas particularidades y atributos; por lo tanto, no se requiere de un esfuerzo extra por parte del usuario.
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In traditionellen Übungsarrangements (z.B. handkorrigierte Hausaufgaben oder vorlesungsbegleitende Übungsgruppen) erhalten Studierende ihre Ergebnisse mit Zeitverzögerung, während der Kurs inzwischen fortschreitet. Dadurch besteht die Gefahr, dass Defizite nicht wahrgenommen oder nicht korrigiert werden. Traditionelle Übungsarrangements erfordern bei sinnvollem Einsatz (v. a. kleine Übungsgruppe) eine Personalkapazität, wie sie insbesondere an Fachhochschulen nicht existiert. Ein zweites Problem, das zum Teil infolge des mangelnden Übens auftritt, besteht darin, dass viele Studierende Lehrveranstaltungen nicht nachbereiten. Viele Studierende versuchen stattdessen, sich den Vorlesungsstoff in einem kurzen Zeitraum vor der Prüfung anzueignen, was, wenn es überhaupt gelingt, nicht zu einer nachhaltigen Verankerung der Inhalte führt. In der Folge fehlen in den Nachfolgeveranstaltungen die Grundlagen, die in den vorausgegangenen Veranstaltungen hätten gelegt werden sollen.
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Development of distance and distributed learning continuing education (CE) opportunities for human services workers requires existence of such CE offerings, participant access to the Internet, knowledge of the Internet's use, and willingness to enroll in such programs. A survey of human services professionals who attended the Family Preservation Annual Conferences in 2000 (N = 230) and 2002 (N - 197) revealed that 92% (n = 206) of 2000 survey participants and 98% (192) of 2002 survey participants have used the Internet, while 76% of 2000 and 56% of 2002 respondents reported no formal training in the use of the Internet and its features. Findings are reported that reveal substantial interest among subjects in the Internet as a medium for continuing education programs for professional development.
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Microinsurance is widely considered an important tool for sustainable poverty reduction, especially in the face of increasing climate risk. Although index-based microinsurance, which should be free from the classical incentive problems, has attracted considerable attention, uptake rates have generally been weak in low-income rural communities. We explore the purchase patterns of index-based livestock insurance in southern Ethiopia, focusing in particular on the role of accurate product comprehension and price, including the prospective impact of temporary discount coupons on subsequent period demand due to price anchoring effects. We find that randomly distributed learning kits contribute to improving subjects' knowledge of the products; however, we do not find strong evidence that the improved knowledge per se induces greater uptake. We also find that reduced price due to randomly distributed discount coupons has an immediate, positive impact on uptake, without dampening subsequent period demand due to reference-dependence associated with price anchoring effects.
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This paper analyses the role of education for sustainability as enabling future sustainability practitioners to become key change agents and leaders. It is important that generic skills and understandings are married to a capability to lead beyond one's disciplinary or professional authority. 'Academic' education for future (and current) sustainability professionals should focus on transdisciplinary learning and research, new media affordances and distributed learning. This raises important questions about the nature of experiential learning and the meaning of 'living sustainability'. With reference to various developments in e-learning, including the European Union's aim to establish a virtual campus for a sustainable Europe, this paper argues that the digital environment is an integral part of our lifeworld connecting people to place, with each other and to possibilities for creative transdisciplinary inquiry. The role of new media in education for sustainability is rarely discussed, is under theorised and its potential largely ignored. © 2010 Inderscience Enterprises Ltd.
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The technological evolution has been making the Distance Education accessible for a greater number of citizens anytime and anywhere. The potential increase of the supply for mobile devices integrated to mobile learning environments allows that the information comes out of the physical environment, creating opportunities for students and teachers to create geographically distributed learning scenarios. However, many applications developed for these environments remain isolated from each other and do not become integrated sufficiently into the virtual learning environments (AVA). This dissertation presents an interoperability model between mobile devices and distinct AVA based on webservices. For the conception of this model, requirements engineering and software architecture techniques were used. With the goal of showing the model viability, a mobile application focused on surveys has been developed, and additionally, the main functionalities related to the interoperability were tested
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