Descubriendo Edmodo : beneficios del microblogging en educaci??n de adultos

Resumen basado en el de la publicaci??n. Resumen en ingl??s

La utilizaci??n del microblogging y de twitter como herramienta de ense??anza-aprendizaje

El objetivo de este art??culo es mostrar como el uso del microblogging y de Twitter particularmente, puede ser una herramienta tecno-social que mejore los procesos de ense??anza-aprendizaje.Comenzando con el an??lisis del funcionamiento de la plataforma, se analiza en profundidad Twitter tanto desde el punto de vista de la generaci??n de contenidos y su puesta en com??n, como desde la ??ptica de las interacciones sociales que se producen en ??l. As?? mismo se han estudiado las posibilidades y ventajas que puede ofrecer su uso desde la escuela, tanto como proceso comunicativo entre docentes y discentes, as?? como desde la nueva construcci??n social virtualizada que genera y se aportan las posibles dificultades y problemas que pueden encontrarse los docentes o los alumnos en su uso

Factores motivacionales de la aceptación de redes sociales de microblogging: modelo µbtam

Twitter y otras redes sociales de microblogging ofrecen la posibilidad de comunicarse con todo el planeta, haciendo uso de tan sólo 140 caracteres, esta aparente limitación obliga al usuario a compartir lo esencial, a mostrar los enlaces del mundo con el que interactúa. El eje principal de este trabajo se basa en que las redes sociales de microblogging suponen una ventana al conocimiento informal, al autoaprendizaje y a la creación de redes aplicadas al conocimiento, útiles para la orientación en las aulas. Estas y otras plataformas poseen la característica de motivar a los estudiantes reduciendo las distancias físicas y psicológicas entre alumno y profesor, incrementando la confianza en el alumno e implicándolo en su propio aprendizaje. Para ello implementamos el uso de estas redes sociales, antes, durante y después de cada clase de tipo teórico-práctico. El material de presentación utilizado para las clases posee la posibilidad de transmitir y seguir en directo la actividad realizada durante las clases, tanto del docente como del alumnado. El uso de etiquetas que permitan clasificar, indexar y finalmente recuperar lo expuesto o generado en clase mediante búsquedas, convierten las clases convencionales de tipo unidireccional, en una conversación más interactiva de todos a todos, que permite generar ideas, repasar contenidos y sobretodo recuperar esta información siempre que se desee. El uso de redes sociales y más concretamente redes sociales de microblogging tienen un gran potencial, por ser algo novedoso, que implica la participación y la conversación con el alumnado, rompiendo barreras y generando aprendizaje informal y sobre todo permite ayudar a la autogestión del aprendizaje. Varios millones de personas en todo el mundo utilizan y comparten información en estas plataformas. Al ser herramientas nacidas en entornos TIC permiten ser integradas, agregadas y controladas por parte del docente con mucha flexibilidad y su carácter de ubicuidad espacio-temporal las hacen idóneas para resumir lo expuesto en clase, aportar ejemplos, conversar, compartir, consultar y sobretodo implicar al alumno en la dinámica de aprendizaje y en la creación de su propio material de trabajo. Además resulta relativamente fácil integrar redes sociales de microblogging en el aula, sólo es necesaria una conexión a internet y hacer uso de los servicios generales gratuitos ya existentes. Su facilidad de consulta e integración con servicios como la telefonía móvil o entornos de e-Learning, convirtiendo a estas redes sociales en la conversación que dinamizará las aulas. En este contexto, el presente trabajo parte del modelo de aceptación tecnológica (TAM) de Davis et al. (1989) al que se incorporan algunos de los constructos más utilizados en la literatura científica. Estos constructos son el papel relevante de las normas subjetivas (NS) y de la imagen social (IMAGE) en el uso de tecnologías de la información estructuradas en redes sociales. Para ello un cuestionario fue aplicado a 135 alumnos de diversas titulaciones de Grado y Diplomatura de la Facultad de Ciencias Económicas y Empresariales de la Universidad de Granada. Los datos obtenidos permitieron desarrollar un modelo de Ecuaciones Estructurales con los anteriores constructos. Del análisis resulta un modelo de comportamiento de uso de las redes sociales muy robusto y parsimonioso que demuestra las hipótesis de investigación planteadas, poniendo de manifiesto que la adecuación del uso de modelos TAM ampliados (como el presente) para explicar la aceptación de instrumentos metodológicos basados en tecnologías de la información

Fenomeni di diffusione delle notizie in siti di microblogging: modelli di analisi e studio di caso.

L'informazione è alla base della conoscenza umana. Senza, non si potrebbe sapere nulla di ciò che esiste, di ciò che è stato o di quello che potrebbe accadere. Ogni giorno si assimilano moltissime informazioni, che vengono registrate nella propria memoria per essere riutilizzate all'occorrenza. Ne esistono di vari generi, ma il loro insieme va a formare quella che è la cultura, educazione, tradizione e storia dell'individuo. Per questo motivo è importante la loro diffusione e salvaguardia, impedendone la perdita che costerebbe la dipartita di una parte di sé, del proprio passato o del proprio futuro. Al giorno d'oggi le informazioni possono essere acquisite tramite persone, libri, riviste, giornali, la televisione, il Web. I canali di trasmissione sono molti, alcuni più efficaci di altri. Tra questi, internet è diventato un potente strumento di comunicazione, il quale consente l'interazione tra chi naviga nel Web (ossia gli utenti) e una partecipazione attiva alla diffusione di informazioni. Nello specifico, esistono siti (chiamati di microblogging) in cui sono gli stessi utenti a decidere se un'informazione possa essere o meno inserita nella propria pagina personale. In questo caso, si è di fronte a una nuova "gestione dell'informazione", che può variare da utente a utente e può defluire in catene di propagazione (percorsi che compiono i dati e le notizie tra i navigatori del Web) dai risvolti spesso incerti. Ma esiste un modello che possa spiegare l'avanzata delle informazioni tra gli utenti? Se fosse possibile capirne la dinamica, si potrebbe venire a conoscenza di quali sono le informazioni più soggette a propagazione, gli utenti che più ne influenzano i percorsi, quante persone ne vengono a conoscenza o il tempo per cui resta attiva un'informazione, descrivendone una sorta di ciclo di vita. E' possibile nel mondo reale trovare delle caratteristiche ricorrenti in queste propagazioni, in modo da poter sviluppare un metodo universale per acquisirne e analizzarne le dinamiche? I siti di microblogging non seguono regole precise, perciò si va incontro a un insieme apparentemente casuale di informazioni che necessitano una chiave di lettura. Quest'ultima è proprio quella che si è cercata, con la speranza di poter sfruttare i risultati ottenuti nell'ipotesi di una futura gestione dell'informazione più consapevole. L'obiettivo della tesi è quello di identificare un modello che mostri con chiarezza quali sono i passaggi da affrontare nella ricerca di una logica di fondo nella gestione delle informazioni in rete.

An Exploratory Study about Microblogging Acceptance at Work

Microblogging is the new Web 2.0 hype in the media. Techies, politicians, family members and many more use Twitter to keep in touch with their interest groups, their voters or their friends and relatives. We wanted to know whether Twitter can also keep us aware about our team colleagues, how this improves teamwork and finally why Twitter is accepted and used in teams. Based on an action research study about Twitter usage in a team of seven researchers and the findings of prior literature, we attempt to extend the unified theory of technology acceptance (Venkatesh 2003) and adapt it to the specific context of microblogging in teams. Extending the performance expectancy construct, we propose two groups of factors inherent to social software that should be integrated into the UTAUT: the task characteristics of other users and the individual motivations for using social software

Modeling microblogging adoption in the enterprise

Despite a broad range of collaboration tools already available, enterprises continue to look for ways to improve internal and external communication. Microblogging is such a new communication channel with some considerable potential to improve intra-firm transparency and knowledge sharing. However, the adoption of such social software presents certain challenges to enterprises. Based on the results of four focus group sessions, we identified several new constructs to play an important role in the microblogging adoption decision. Examples include privacy concerns, communication benefits, perceptions regarding signal-to-noise ratio, as well codification effort. Integrating these findings with common views on technology acceptance, we formulate a model to predict the adoption of a microblogging system in the workspace. Our findings serve as an important guideline for managers seeking to realize the potential of microblogging in their company.

Men, Women, Microblogging: Where Do We Stand?

With millions of users worldwide, microblogging has developed into a powerful tool for interaction and information dissemination. While both men and women readily use this technology, there are significant differences in how they embrace it. Understanding these differences is important to ensure gender parity, provide advertisers with actionable insights on the marketing potential of both groups, and to inform current theories on how microblogging affordances shape gender roles. So far, existing research has not provided a unified framework for such analysis, with gender insights scattered across multiple studies. To fill this gap, our study conducts a comprehensive meta-review of existing research. We find that current discourse offers a solid body of knowledge on gender differences in adoption, shared content, stylistic presentation, and a rather convoluted picture of female and male interaction. Together, our structured findings offer a deeper insight into the underlying dynamics of gender differences in microblogging.

Guidelines for Accessibility to Microblogging: an Integral Approach

Microblogging is one of the most popular user-generated media, hence its accessibility has a large impact for users. However, the accessibility of this medium is poor in practice, due to the combination of bad practices by different agents ranging from the providers that host microblogging services to prosumers that post contents to them. Here we present an accessibility-oriented model of microblogging services, analyze the impact of its components, and propose guidelines for each of them to meet accessibility requirements. In particular, we base on an study we have performed on Twitter, one of the most-relevant microblogging platform, to identify good and bad practices in microblogging content generation regarding accessibility in microblogging content generation.

Planificación de usabilidad en el desarrollo de una aplicación móvil de microblogging

En la actualidad se ha experimentado un fuerte desarrollo en el campo de los ordenadores, teléfonos móviles y otros dispositivos, que hacen posible que la información sea más accesible para todo el mundo. Además, se han creado nuevas vías por la cual transmitir información, como las redes sociales. En especial, destaca Twitter, que posee millones de usuarios que se conectan cada día. Asimismo, los periodistas reconocen la importancia de Twitter y la facilidad y rapidez que ofrece para publicar información hace que esta red social sea ampliamente usada por muchísimos periodistas. En este contexto es donde se enmarca el proyecto “Red de microblogging para periodistas sobre dispositivos iOS” de la cátedra UPM-­‐El Mundo de comunicación digital que tiene como finalidad encontrar una solución nueva que integre las ventajas que nos proporciona la nueva tecnología, la rapidez y facilidad que tiene escribir algo en Twitter y que el periódico se beneficie de todo esto, así como el periodista que escriba la noticia. Para alcanzar estos objetivos, la usabilidad del sistema que se desarrolle es una parte fundamental, ya que tan importante como es la funcionalidad de un sistema es que los usuarios realmente lo usen y se sientan cómodos con él. Se ha llevado a cabo la planificación de las técnicas de usabilidad a aplicar con ayuda de la herramienta “Usability Planner”, considerando las restricciones concretas que se dan en el proyecto. A continuación se han aplicado las técnicas elegidas de forma integrada con el resto de actividades de desarrollo del proyecto. Entre estas técnicas destaca la realización de una evaluación de usabilidad, que ha mostrado que el producto ha cumplido en gran medida los objetivos de usabilidad establecidos, y los usuarios se han mostrado ampliamente satisfechos con los resultados obtenidos ---ABSTRACT---Nowadays, a strong growth in the field of personal computers, mobile phones and other devices has been experienced. This growth makes the information to be more reachable for everyone. In addition, new ways of transmitting information have been created, such as social networks, especially Twitter, which owns millions of users. Moreover, the journalists recognize the importance of Twitter, and its speed and ease to use and publish information makes Twitter widely used by them. This is the context in which the project “Red de microblogging para periodistas sobre dispositivos iOS” of the cathedra UPM-­‐El Mundo de comunicación digital takes part, whose aim is to find a new solution to incorporate the advantages of the new technology, the speed and the ease of Twitter to allow that newspapers, as well as journalists, are able to take benefit of it. In order to achieve it, the usability of the system which is going to be developed is an essential part, because the functionality of a system is as important as it is that the users really use and feel comfortable with the system. And in the latter is where this work takes part, the design and the evaluation of the usability of the system which is going to be developed. A planification of usability techniques has been performed with the support of the tool “Usability Planner”. There are a wide range of usability techniques and its choice in order to apply them into a project is not an easy task. Furthermore, the chosen techniques have been applied integrated with all the other activities of the project. Finally, a usability evaluation has been executed and it has shown that the established usability objectives have been accomplished and the users are widely satisfied with the project.

Feature analysis of spammers in social networks with active honeypots:a case study of Chinese microblogging networks

In this poster we presented our preliminary work on the study of spammer detection and analysis with 50 active honeypot profiles implemented on Weibo.com and QQ.com microblogging networks. We picked out spammers from legitimate users by manually checking every captured user's microblogs content. We built a spammer dataset for each social network community using these spammer accounts and a legitimate user dataset as well. We analyzed several features of the two user classes and made a comparison on these features, which were found to be useful to distinguish spammers from legitimate users. The followings are several initial observations from our analysis on the features of spammers captured on Weibo.com and QQ.com. ¦The following/follower ratio of spammers is usually higher than legitimate users. They tend to follow a large amount of users in order to gain popularity but always have relatively few followers. ¦There exists a big gap between the average numbers of microblogs posted per day from these two classes. On Weibo.com, spammers post quite a lot microblogs every day, which is much more than legitimate users do; while on QQ.com spammers post far less microblogs than legitimate users. This is mainly due to the different strategies taken by spammers on these two platforms. ¦More spammers choose a cautious spam posting pattern. They mix spam microblogs with ordinary ones so that they can avoid the anti-spam mechanisms taken by the service providers. ¦Aggressive spammers are more likely to be detected so they tend to have a shorter life while cautious spammers can live much longer and have a deeper influence on the network. The latter kind of spammers may become the trend of social network spammer. © 2012 IEEE.

Cost-effective node monitoring for online hot event detection in sina weibo microblogging

We propose a cost-effective hot event detection system over Sina Weibo platform, currently the dominant microblogging service provider in China. The problem of finding a proper subset of microbloggers under resource constraints is formulated as a mixed-integer problem for which heuristic algorithms are developed to compute approximate solution. Preliminary results show that by tracking about 500 out of 1.6 million candidate microbloggers and processing 15,000 microposts daily, 62% of the hot events can be detected five hours on average earlier than they are published by Weibo.

Connecting social media to e-commerce:cold-start product recommendation using microblogging information

In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in 'cold-start' situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e-commerce website JingDong have shown the effectiveness of our proposed framework.

Microblogging Temporal Summarization: Filtering Important Twitter Updates for Breaking News

While news stories are an important traditional medium to broadcast and consume news, microblogging has recently emerged as a place where people can dis- cuss, disseminate, collect or report information about news. However, the massive information in the microblogosphere makes it hard for readers to keep up with these real-time updates. This is especially a problem when it comes to breaking news, where people are more eager to know “what is happening”. Therefore, this dis- sertation is intended as an exploratory effort to investigate computational methods to augment human effort when monitoring the development of breaking news on a given topic from a microblog stream by extractively summarizing the updates in a timely manner. More specifically, given an interest in a topic, either entered as a query or presented as an initial news report, a microblog temporal summarization system is proposed to filter microblog posts from a stream with three primary concerns: topical relevance, novelty, and salience. Considering the relatively high arrival rate of microblog streams, a cascade framework consisting of three stages is proposed to progressively reduce quantity of posts. For each step in the cascade, this dissertation studies methods that improve over current baselines. In the relevance filtering stage, query and document expansion techniques are applied to mitigate sparsity and vocabulary mismatch issues. The use of word embedding as a basis for filtering is also explored, using unsupervised and supervised modeling to characterize lexical and semantic similarity. In the novelty filtering stage, several statistical ways of characterizing novelty are investigated and ensemble learning techniques are used to integrate results from these diverse techniques. These results are compared with a baseline clustering approach using both standard and delay-discounted measures. In the salience filtering stage, because of the real-time prediction requirement a method of learning verb phrase usage from past relevant news reports is used in conjunction with some standard measures for characterizing writing quality. Following a Cranfield-like evaluation paradigm, this dissertation includes a se- ries of experiments to evaluate the proposed methods for each step, and for the end- to-end system. New microblog novelty and salience judgments are created, building on existing relevance judgments from the TREC Microblog track. The results point to future research directions at the intersection of social media, computational jour- nalism, information retrieval, automatic summarization, and machine learning.