Unraveling networked learning initiatives: an analytic framework

Networked learning happens naturally within the social systems of which we are all part. However, in certain circumstances individuals may want to actively take initiative to initiate interaction with others they are not yet regularly in exchange with. This may be the case when external influences and societal changes require innovation of existing practices. This paper proposes a framework with relevant dimensions providing insight into precipitated characteristics of designed as well as ‘fostered or grown’ networked learning initiatives. Networked learning initiatives are characterized as “goal-directed, interest-, or needs based activities of a group of (at least three) individuals that initiate interaction across the boundaries of their regular social systems”. The proposed framework is based on two existing research traditions, namely 'networked learning' and 'learning networks', comparing, integrating and building upon knowledge from both perspectives. We uncover some interesting differences between definitions, but also similarities in the way they describe what ‘networked’ means and how learning is conceptualized. We think it is productive to combine both research perspectives, since they both study the process of learning in networks extensively, albeit from different points of view, and their combination can provide valuable insights in networked learning initiatives. We uncover important features of networked learning initiatives, characterize actors and connections of which they are comprised and conditions which facilitate and support them. The resulting framework could be used both for analytic purposes and (partly) as a design framework. In this framework it is acknowledged that not all successful networks have the same characteristics: there is no standard ‘constellation’ of people, roles, rules, tools and artefacts, although there are indications that some network structures work better than others. Interactions of individuals can only be designed and fostered till a certain degree: the type of network and its ‘growth’ (e.g. in terms of the quantity of people involved, or the quality and relevance of co-created concepts, ideas, artefacts and solutions to its ‘inhabitants’) is in the hand of the people involved. Therefore, the framework consists of dimensions on a sliding scale. It introduces a structured and analytic way to look at the precipitation of networked learning initiatives: learning networks. Successive research on the application of this framework and feedback from the networked learning community is needed to further validate it’s usability and value to both research as well as practice.

Convex Optimization Algorithms and Statistical Bounds for Learning Structured Models

Thesis (Ph.D.)--University of Washington, 2016-08

Automated Discovery of Social Networks in Online Learning Communities

As a way to gain greater insights into the operation of online communities, this dissertation applies automated text mining techniques to text-based communication to identify, describe and evaluate underlying social networks among online community members. The main thrust of the study is to automate the discovery of social ties that form between community members, using only the digital footprints left behind in their online forum postings. Currently, one of the most common but time consuming methods for discovering social ties between people is to ask questions about their perceived social ties. However, such a survey is difficult to collect due to the high investment in time associated with data collection and the sensitive nature of the types of questions that may be asked. To overcome these limitations, the dissertation presents a new, content-based method for automated discovery of social networks from threaded discussions, referred to as ‘name network’. As a case study, the proposed automated method is evaluated in the context of online learning communities. The results suggest that the proposed ‘name network’ method for collecting social network data is a viable alternative to costly and time-consuming collection of users’ data using surveys. The study also demonstrates how social networks produced by the ‘name network’ method can be used to study online classes and to look for evidence of collaborative learning in online learning communities. For example, educators can use name networks as a real time diagnostic tool to identify students who might need additional help or students who may provide such help to others. Future research will evaluate the usefulness of the ‘name network’ method in other types of online communities.

Delimitaciones previas a la formación para el uso de las TIC en la enseñanza universitaria: funciones y competencias del docente en entornos virtuales

En esta comunicación se esclarecen funciones, roles, competencias y tareas del docente universitario en entornos virtuales de enseñanza y aprendizaje con el propósito de contribuir a mejorar el diseño de acciones formativas dirigidas a la capacitación del profesorado para este ejercicio Este resultado se obtiene del análisis de significativas referencias que tratan el tema y de la valoración del diseño de acciones formativas realizadas en universidades europeas que participan activamente de este propósito. El estudio constituye una acción del proyecto Elene-TT - elearning network for Teacher Training.

Digitaalinen osaamisen kehittäminen osana henkilöstökoulutusta

Tieto- ja viestintätekniikan kehittyminen on muuttanut työn luonnetta monella tavalla ja työelämän jatkuva muutos ja joustavuuteen pyrkiminen edellyttävät uusien tietojen ja taitojen hankkimista. Verkko-opetus, verkko-opiskelu ja verkko-oppiminen näyttävät tarjoavat uusia ulottuvuuksia henkilöstökoulutukseen. Tämän diplomityön tarkoituksena on tutkia voidaanko digitaalisella osaamisen kehittämisellä tukea yrityksen henkilöstökoulutusta ja henkilöstöä opiskelussa ja oppimisessa? Osaaminen on strateginen kysymys ja sen kehittämisessä pyritään yrityksissä aiempaa pitkäjänteisempään ja kokonaisvaltaisempaan toimintatapaan. Digitaalinen osaamisen kehittäminen oikein toteutettuna näyttää vahvistavan henkilöstön osaamistasoa. Tekniset apuvälineet eivät ehkä koskaan tule korvaamaan kokemusta ja työssä oppimista, silti ne näyttävät helpottavat tiedonkulkua ja ovat apuna osaamisen kehittämisessä. Kuvitelma verkko-opintojen helppoudesta, täysin ajasta ja paikasta riippumattomana, sekä itsenäisestä opiskelusta on harhaa. Verkkokoulutuksen suurena haasteena on sen soveltaminen järkevällä tavalla organisaation toimintakulttuuriin ja toimintatapoihin. Ajanoloon verkko-opiskelu saattaa muuttua osaksi työtä, mutta asenteiden muokkaamisessa on vielä paljon tekemistä. Yritysten johdon tulee näyttää tietä ja toimia esimerkkinä uusien toimintatapojen käyttöönotossa.

The Finnish Online University of Applied Sciences - from National to International

Julkaistu CD-ROM-levyllä

Luottamuksen ilmeneminen alueellisissa yhteistyöverkostoissa

Appearance of trust in regional, co-operative networks In our times, the value of social networks has been widely acknowledged. One can say that it is important for private persons to get networked, whilst it is even a must for companies and organizations in business life. This doctor's thesis examines three co-operative regional networks. Networks are located in Western Uusimaa (Länsi-Uusimaa) region in southernmost Finland, and they had both public organizations and private companies as participants (later called ‘players’). Initially, all of them were co-financed from public funds, and two of them are still operational while writing this. The main target of these networks has been to act as learning networks. The learning network stands for an ensemble of research and development units and workplaces constituting a common forum for learning. The main focus in this study has been on qualitative and structural characteristics of the networks, and how they are relating with intrinsic trust. In addition to the development of trust, it has been studied, at what level organizational learning within the networks takes place, and lastly, what kind of factors facilitate the development of social capital. The theoretical framework for the study is built on analysing trust and social capital. It is a 'mission impossible' to find single definitions for such major concepts. In this study, from the research questions' point of view it has been more relevant to concentrate on the aspects of networking and the relationships between the participating organizations. The total view in this study is very network-centric, and therefore those theories which have similar point of view have been prioritized. Such is the theory about structural holes by Ronald S. Burt (1992). It has been widely applied; especially his views on constraints affecting players in networks. The purpose of this study has not been to create new theories or to analyse and compare thoroughly the existing theoretical trends. Instead, the existing theories have provided the study with conceptual tools, which have been utilized for supporting the empirical results. The aim has been to create an explanatory case study consisting relevant discussion on the relationship between the network characteristics and the appearance of trust. The conceptual categorization for confidence vs. trust created by Niklas Luhmann (1979) is another important theoretical building block. In most cases, co-operation in networks is initiated by people already trusting in each other and willing to work together. However, personal trust is not sufficient in the long run to sustain the co-operation within the network: more abstract systemic trust described by Luhmann must also emerge. In the networks with different structures and at different development phases, these forms of trust appear at different levels. In this study, Luhmann’s systemic trust as a term has been replaced by the concept of 'trust in network as a system'. Structural characteristics of a network (density, centrality, structural holes etc.) have been selected to explain the creation of social capital and trust. The ability to adapt new information is essential for the development of social capital. Qualitative analysis for development phase has been used, and the Learning Network Maturity Test by Leenamaija Otala (2000) and her work have been applied. Thus, the qualitative characteristics and the structural characteristics of the networks are utilized together, when the creation of social capital and appearance of trust are assessed. Social Network Analysis, questionnaires and interviews have been the research methods. Quantitative and qualitative data have been combined. There is a similarity in viewpoints to research data with Extensive Case Study method, in which different cases are searched by exploring various cases and comparing certain common features between them and generic models. Development of trust, social capital and organizational learning has been explained in the study by comparing the networks in hand. Being a case study, it doesn't have targets to provide with general results and findings like conventional surveys. However, in this work phenomena and mechanisms related to them are interpreted from the empirical data. Key finding of this study is that the networks with high structural equality and clear target setting enable building trust to the network as a system. When systemic trust is present, e.g. changes in personnel involved in the co-operation won't hinder the network from remaining operational. On the other hand, if the players are not well motivated to co-operate, if the network is extremely centralized structurally, or if the network has players holding very much more beneficial position compared to the others, systemic trust won't develop: trust tends to remain at the personal level, and is directed to some players only. Such networks won't generate results and benefits to its players, and most probably they won’t live very long. In other words, learning networks cannot solely be based on willingness to learn, but also on willingness to co-operate.

Osaamisen johtaminen tietohallintopalveluita tarjoavan organisaation suorituskyvyn kehittämisessä

Tässä diplomityössä tutkitaan osaamisen johtamisen järjestelmää strategisesta näkö-kulmasta tietohallintopalveluita tuottavassa organisaatiossa. Tutkimuksen tarkoitukse-na oli kehittää osaamisen johtamisen kokonaisuutta kohdeorganisaation suorituskyvyn kehittämiseksi. Tutkimuksen lähtökohtana ovat organisaation arvot, missio ja visio sekä näiden kautta rakentuva organisaation osaamisen strategia. Osaamisen strategian näkökulmasta tarkastellaan asiantuntijuutta, osaamisen johtamista ja organisaation ydinosaamisia. Teoreettisesta näkökulmasta tutkitaan myös verkostoitumista ja oppi-misen verkostomallin hyödyntämismahdollisuuksia kohdeorganisaatiossa. Empiirinen aineisto kerättiin laadullisella teemahaastattelulla. Tutkimuksessa saatiin selkeä kuva kohdeorganisaation osaamisen johtamisen kokonai-suudesta. Verkostoituminen ja verkostomainen työskentely ovat kohdeorganisaatiossa erittäin suuressa roolissa, joten oppimisen verkostomallia voitaisiin hyödyntää organi-saatiossa tehokkaasti. Tämä edellyttää kuitenkin verkoston johtamista ja tavoitteellista osallistumista verkostoihin sekä asetettujen tavoitteiden mittaamista.

Desenlaces clínicos del cuidado perioperatorio de reemplazos articulares según grupos relacionados de diagnóstico en un hospital de cuarto nivel

Introducción Los Grupos Relacionados de Diagnóstico (GRD) se han usado para determinar la calidad de la atención en varios sistemas de salud. Esto ha llevado a que se obtengan resultados en el mejoramiento continuo de la atención y del cuidado. El objetivo de este estudio es determinar desenlaces clínicos de los pacientes a quienes se les había realizado reemplazo de articulares según la complejidad clínica definida mediante GRD. Métodos Se realizó un estudio longitudinal descriptivo en el cual se incluyeron todos los pacientes que tuvieron cirugía de reemplazo total de hombro, cadera y rodilla entre 2012 y 2014. Se realizó la estratificación de los pacientes de acuerdo a tres niveles de complejidad dados por el sistema de GRD y se determinaron las proporciones de pacientes para las variables de estancia hospitalaria, enfermedad trombo-embólica, cardiovascular e infección del sitio operatorio. Resultados Se realizaron en total 886 reemplazos articulares de los cuales 40 (4.5%) presentaron complicaciones. Los eventos más frecuentes fueron las complicaciones coronarias, con una presencia de 2.4%. El GRD1, sin complicaciones ni comorbilidades, fue el que presentó mayor número de eventos. La estancia hospitalaria fue de 3.8 a 9.3 días para todos los reemplazos. Conclusiones Contrario a lo planteado en la hipótesis de estudio, se encontró que el primer GRD presentó el mayor número de complicaciones, lo que puede estar relacionado con el tamaño del grupo. Es necesario realizar nuevas investigaciones que soporten el uso de los GRD como herramienta para evaluar desenlaces clínicos.

Manager's task to support integrated autonomy at the workplace : Results from an intervention

A new managerial task arises in today’s working life: to provide conditions for and influence interaction between actors and thus to enable the emergence of organizing structure in tune with a changing environment. We call this the enabling managerial task. The goal of this paper is to study whether training first line managers in the enabling managerial task could lead to changes in the work for the subordinates. This paper presents results from questionnaires answered by the subordinates of the managers before and after the training. The training was organized as a learning network and consisted of eight workshops carried out over a period of one year (September 2009–June 2010), where the managers met with each other and the researchers once a month. Each workshop consisted of three parts, during three and a half hours. The first hour was devoted to joint reflection on a task that had been undertaken since the last workshop; some results were presented from the employee pre-assessments, followed by relevant theory and illuminating practices, finally the managers created new tasks for themselves to undertake during the following month. The subordinates’ answers show positive change in all of the seventeen scales used to assess it. The improvements are significant in scales measuring the relationship between the manager and the employees, as well as in those measuring interaction between employees. It is concluded that the result was a success for all managers that had the possibility of using the training in their management work.

Allocation of authority in franchise chains

This article investigates the level of delegation in franchise chains, distinguishing the two most relevant franchising models: Business Format Franchising and Learning Network Franchising. The two models basically differ on the level of real authority (effective control over decisions) exercised by the franchisors. Differences in business features, such as the required standardization, monitoring costs and consumer sensitivity to variations in product attributes (consumer measurement costs), explain the adoption of the different models of franchising. These variables affect the trade-off between the risk of brand name loss and the gains in knowledge sharing and learning within the network. The higher the need for standardization, the higher is the risk of brand name loss, and, consequently, the more likely the franchisor will adopt an organizational design that confers more control over franchisees’ decisions, such as business format franchising. This paper presents two case studies with Brazilian food franchise chains that illustrate the main argument and suggest additional propositions. Moreover, an empirical analysis of 223 franchise chains provides additional support to the hypothesis of a negative the effect of required standardization on the level of delegation.

A influência da rede de franqueados na gestão estratégica da franqueadora: um estudo de caso múltiplo no franchising brasileiro

Esta dissertação teve como objetivo pesquisar a influência dos franqueados na gestão estratégica de sua franqueadora. Dentre todos os tipos de franchising existentes, foram avaliados os modelos atuais, que conceitualmente oferecem possibilidade de diálogo e debate, entre franqueados e franqueadores, sobre assuntos relativos ao negócio, a saber: o Business Format Franchising, modelo mais utilizado e o Learning Network Franchising, uma versão mais evoluída do primeiro. Foi escolhido o estudo de caso múltiplo com quatro redes de franquias brasileiras, atuantes a nível nacional, associadas à ABF e com qualidade reconhecida e chancelada pelo selo de excelência em franchising por diversas vezes. Fundamentados na teoria de aprendizagem, a qual mostra a necessidade de maior participação e aprendizado mútuo para melhoria contínua do negócio e da competitividade, e nas demais teorias sobre o sistema, como a de agência e da escassez de recursos, as franquias das gerações mais recentes criaram meios de comunicação e troca de experiência com suas redes de franqueados. Procuramos entender como se dá esta interação e quais os meios que elas utilizam para facilitar este processo. Utilizou-se o método de estudo de caso múltiplo, por se tratar de um fenômeno contemporâneo. A pesquisa qualitativa teve um caráter exploratório-descritivo. A coleta de dados foi realizada por meio de entrevistas semi-estruturadas, com franqueados, franqueadores e consultores do mercado, nas praças do Rio de Janeiro e São Paulo. Os dados foram avaliados utilizando o método de análise de conteúdo para atingir os objetivos propostos. Foi realizada a análise horizontal, relativizando entre os grupos de entrevistados, principalmente franqueados e franqueadores e, em alguns momentos, a análise vertical, explorando as franquias individualmente, buscando semelhanças e divergências nas redes. A pesquisa ressalta formas alternativas de participação de franqueados no desenvolvimento e debate sobre questões estratégicas e mostra que hoje tais influências estão concentradas na estratégia funcional, aproveitando o conhecimento do franqueado em sua operação local em benefício da rede. Foram encontradas experiências interessantes na forma como as redes se organizam para interagir e conseguir influenciar na estratégia adotada por seu franqueador e os desafios presentes para aprimorar e expandir esta troca.

Estudo Comparativo de Métricas de Pontuação para Aprendizagem Estrutural de Redes Bayesianas

Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many heuristics algorithms to generate network structures from data were created. Many of these algorithms use score metrics to generate the network model. This thesis compare three of most used score metrics. The K-2 algorithm and two pattern benchmarks, ASIA and ALARM, were used to carry out the comparison. Results show that score metrics with hyperparameters that strength the tendency to select simpler network structures are better than score metrics with weaker tendency to select simpler network structures for both metrics (Heckerman-Geiger and modified MDL). Heckerman-Geiger Bayesian score metric works better than MDL with large datasets and MDL works better than Heckerman-Geiger with small datasets. The modified MDL gives similar results to Heckerman-Geiger for large datasets and close results to MDL for small datasets with stronger tendency to select simpler network structures

A natureza da aprendizagem matemática em um ambiente online de formação continuada de professores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)