Action for Children – Introducing collaborative learning using Google Apps for Education

Paul Kendrick, Vocational Trainer for Action Training, has created a bespoke virtual learning environment (VLE) utilising Google Apps for Education. Learners and trainers are now more fulfilled as they have greater ownership of their learning environment and can pick which applications best suit their learning needs. They can also work more collaboratively as they are able to share documents with other learners and trainers between different locations.

Google apps : Quali vantaggi per le aziende?

i principali vantaggi della suite collaborativa di Google

La evaluación continua en la docencia del urbanismo: experiencia aplicada a través de Google Apps

El sistema tradicional de evaluación continua implica asumir, en muchas ocasiones, algunas dificultades en cuanto al seguimiento y valoración del trabajo del alumnado. La existencia de grupos numerosos y la necesidad de agilizar la comunicación profesor-alumno y entre alumnos, nos lleva a investigar las posibilidades que ofrecen las nuevas tecnologías con el fin de actualizar los métodos de aprendizaje y facilitar la valoración del trabajo de los alumnos dentro y fuera del aula. La presente experiencia docente se centra en estudiar las posibilidades que ofrece Google, a través de distintas aplicaciones web o Apps -Groups, Forms, Drive, Mail y Calendar- e incorporarlas como herramientas integradas en el trabajo del aula. Concretamente, se aplica simultáneamente esta metodología a dos asignaturas diferentes del área de Urbanística y Ordenación del Territorio -Urbanismo 2 y Urbanismo 4- en las que se integra al alumnado en un grupo virtual a través del cual, se realizan distintas actividades -resolución de dudas, intercambio de información, exámenes, etc.- que permiten al profesor gestionar y evaluar, de forma eficiente, cuestiones como la asistencia y la participación en la asignatura conociendo de forma inmediata la respuesta de los estudiantes ante los conceptos trabajados.

Review and evaluation of mindfulness-based iPhone apps

Background There is growing evidence for the positive impact of mindfulness on wellbeing. Mindfulness-based mobile apps may have potential as an alternative delivery medium for training. While there are hundreds of such apps, there is little information on their quality. Objective This study aimed to conduct a systematic review of mindfulness-based iPhone mobile apps and to evaluate their quality using a recently-developed expert rating scale, the Mobile Application Rating Scale (MARS). It also aimed to describe features of selected high-quality mindfulness apps. Methods A search for “mindfulness” was conducted in iTunes and Google Apps Marketplace. Apps that provided mindfulness training and education were included. Those containing only reminders, timers or guided meditation tracks were excluded. An expert rater reviewed and rated app quality using the MARS engagement, functionality, visual aesthetics, information quality and subjective quality subscales. A second rater provided MARS ratings on 30% of the apps for inter-rater reliability purposes. Results The “mindfulness” search identified 700 apps. However, 94 were duplicates, 6 were not accessible and 40 were not in English. Of the remaining 560, 23 apps met inclusion criteria and were reviewed. The median MARS score was 3.2 (out of 5.0), which exceeded the minimum acceptable score (3.0). The Headspace app had the highest average score (4.0), followed by Smiling Mind (3.7), iMindfulness (3.5) and Mindfulness Daily (3.5). There was a high level of inter-rater reliability between the two MARS raters. Conclusions Though many apps claim to be mindfulness-related, most were guided meditation apps, timers, or reminders. Very few had high ratings on the MARS subscales of visual aesthetics, engagement, functionality or information quality. Little evidence is available on the efficacy of the apps in developing mindfulness.

Cloud services for education agreements

Providing you with peace of mind and due diligence on around 40 pages of contractual terms and conditions on an ongoing basis for Google Apps for Education. JL

EZ-BUD : orçamentação na nuvem

Não é novidade que o paradigma vigente baseia-se na Internet, em que cada vez mais aplicações mudam o seu modelo de negócio relativamente a licenciamento e manutenção, para passar a oferecer ao utilizador final uma aplicação mais acessível no que concerne a licenciamento e custos de manutenção, já que as aplicações se encontram distribuídas eliminando os custos de capitais e operacionais inerentes a uma arquitetura centralizada. Com a disseminação das Interfaces de Programação de Aplicações (Application Programming Interfaces – API) baseadas na Internet, os programadores passaram a poder desenvolver aplicações que utilizam funcionalidades disponibilizadas por terceiros, sem terem que as programar de raiz. Neste conceito, a API das aplicações Google® permitem a distribuição de aplicações a um mercado muito vasto e a integração com ferramentas de produtividade, sendo uma oportunidade para a difusão de ideias e conceitos. Este trabalho descreve o processo de conceção e implementação de uma plataforma, usando as tecnologias HTML5, Javascript, PHP e MySQL com integração com ®Google Apps, com o objetivo de permitir ao utilizador a preparação de orçamentos, desde o cálculo de preços de custo compostos, preparação dos preços de venda, elaboração do caderno de encargos e respetivo cronograma.

Forensiska Undersökningar av Molntjänster

Användning av molntjänster har gjort forensiska undersökningar mer komplicerade. Däremot finns det goda förutsättningar om molnleverantörerna skapar tjänster för att få ut all information. Det skulle göra det enklare och mer tillförlitligt. Informationen som ska tas ut från molntjänsterna är svår att få ut på ett korrekt sätt. Undersökningen görs inte på en skrivskyddad kopia, utan i en miljö som riskerar att förändras. Det är då möjligt att ändringar görs under tiden datan hämtas ut, vilket inte alltid syns. Det går heller inte att jämföra skillnaderna genom att ta hashsummor på filerna som görs vid forensiska undersökningar av datorer. Därför är det viktigt att dokumentera hur informationen har tagits ut, helst genom att filma datorskärmen under tiden informationen tas ut. Informationen finns sparad på flera platser då molntjänsterna Office 365 och Google Apps används, både i molnet och på den eller de datorer som har använts för att ansluta till molntjänsten. Webbläsare sparar mycket information om vad som har gjorts. Därför är det viktigt att det går att ta reda på vilka datorer som har använts för att ansluta sig till molntjänsten, vilket idag inte möjligt. Om det är möjligt att undersöka de datorer som använts kan bevis som inte finns kvar i molnet hittas. Det bästa ur forensisk synvinkel skulle vara om leverantörerna av molntjänster erbjöd en tjänst som hämtar ut all data som rör en användare, inklusive alla relevanta loggar. Då skulle det ske på ett mycket säkrare sätt, då det inte skulle gå att ändra informationen under tiden den hämtas ut. 

Incorporación de la Web 2.0 en la docencia de Proyectos e Infraestructuras de Telecomunicación II: Curso de adaptación al grado

Comunicación y póster presentados en las IX Jornadas de Redes de Investigación en Docencia Universitaria, Alicante, 16-17 junio 2011.

Aplicación de herramientas web colaborativas a la docencia en la Ingeniería en Sonido e Imagen

Las nuevas tecnologías en el proceso de enseñanzaaprendizaje, durante algunos años, han jugado un papel meramente espectador. Con la llegada de las aplicaciones Web 2.0 y el concepto e-Learning, las nuevas tecnologías pasan a tener un rol de canalizador de la enseñanza. Ante la llegada del Espacio Europeo de Educación Superior (EEES) la comunidad universitaria se enfrenta a un cambio en la filosofía de trabajo. En este trabajo, se presenta la aplicación de la suite orientada a la educación de Google (Google Apps) a la docencia en la titulación de Ingeniero en Sonido e Imagen impartida en la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA ). El conjunto de herramientas web colaborativas se han aplicado en dos vertientes bien diferenciadas: en la docencia de la asignatura Proyectos e Infraestructuras de Telecomunicación II (PIT 2) de 6 Créditos ECTS obligatorios en 4º curso, y a la dirección del Proyecto Fin de Carrera (PFC). La incursión de las nuevas titulaciones de Grado en la UA ha favorecido la implantación de un Curso de adaptación al Grado en Ingeniería en Sonido e Imagen, orientado a los titulados en Ingeniería Técnica de Telecomunicación, especialidad en Sonido e Imagen, con el fin de continuar su formación. Este Curso de adaptación presenta una casuística que favorece el uso de nuevas técnicas docentes.

How online applications can help to achieve integral learning

The development of transversal competencies provides an integral education. However, its practical implementation among different subjects is not a trivial task. There are several issues that should be previously solved in an optimal way to take advantage of the synergy among subjects. Main issues are: i) the need for a common space for the documents management, ii) the availability of the document everywhere and anytime, and iii) the possibility to collaborate in the documents edition tasks. It was implemented a virtual portfolio for the students which allows the assessment of all the subjects in a global way. To this goal we used the Google apps due to its free access, availability and suitability for the collaborative editing tasks.

Docencia en urbanismo y tecnología: nuevas formas de trabajo y evaluación

La existencia de grupos numerosos y la necesidad de agilizar la comunicación profesor-alumno y entre alumnos, nos lleva a investigar las posibilidades que ofrecen las nuevas tecnologías con el fin de actualizar los métodos de aprendizaje y facilitar la valoración del trabajo de los alumnos dentro y fuera del aula. El sistema tradicional de evaluación continua, así como los métodos de trabajo de campo utilizados en disciplinas técnicas como la arquitectura, implican asumir, en ocasiones, algunas dificultades en cuanto al seguimiento y valoración del trabajo del alumnado. La presente experiencia investigadora se centra en estudiar las posibilidades que ofrece Google, a través de distintas aplicaciones web o Apps -Groups, Forms, Drive, Mail y Calendar- para facilitar la evaluación en las asignaturas de urbanismo desarrolladas mediante trabajo colaborativo tipo taller y en averiguar las posibilidades que ofrecen las redes sociales y algunos sistemas de mapas para complementar el trabajo de campo propio de la práctica del Urbanismo.

Mining mobile apps reviews to support release planning

The mobile apps market is a tremendous success, with millions of apps downloaded and used every day by users spread all around the world. For apps’ developers, having their apps published on one of the major app stores (e.g. Google Play market) is just the beginning of the apps lifecycle. Indeed, in order to successfully compete with the other apps in the market, an app has to be updated frequently by adding new attractive features and by fixing existing bugs. Clearly, any developer interested in increasing the success of her app should try to implement features desired by the app’s users and to fix bugs affecting the user experience of many of them. A precious source of information to decide how to collect users’ opinions and wishes is represented by the reviews left by users on the store from which they downloaded the app. However, to exploit such information the app’s developer should manually read each user review and verify if it contains useful information (e.g. suggestions for new features). This is something not doable if the app receives hundreds of reviews per day, as happens for the very popular apps on the market. In this work, our aim is to provide support to mobile apps developers by proposing a novel approach exploiting data mining, natural language processing, machine learning, and clustering techniques in order to classify the user reviews on the basis of the information they contain (e.g. useless, suggestion for new features, bugs reporting). Such an approach has been empirically evaluated and made available in a web-­‐based tool publicly available to all apps’ developers. The achieved results showed that the developed tool: (i) is able to correctly categorise user reviews on the basis of their content (e.g. isolating those reporting bugs) with 78% of accuracy, (ii) produces clusters of reviews (e.g. groups together reviews indicating exactly the same bug to be fixed) that are meaningful from a developer’s point-­‐of-­‐view, and (iii) is considered useful by a software company working in the mobile apps’ development market.

Antitrust on the ‘G string’: What’s behind the Commission’s investigations of Google and Gazprom? CEPS Commentary, 15 June 2015

The past few weeks have marked a shift of gear in EU antitrust enforcement. First, the new European Commissioner for Competition Margarethe Vestager announced on April 15th that the Commission had sent a Statement of Objections to Google, arguing that the giant IT company abused its dominant position in the “general Internet search” market and also in the market for mobile operating systems, apps and services. Exactly one week later, she also sent a Statement of Objections to Gazprom for having created artificial barriers to trade between certain EU countries, preventing gas flows and competition across national borders and charging unfair prices in five Central and Eastern European countries. It is indeed hard to recall any other time in which two investigations of this size – both potentially leading to billions of euros of fines – have been launched almost simultaneously.

Google Translate e Microsoft Translator - Valutazione di due applicazioni per la traduzione automatica del parlato e analisi di una tecnologia in evoluzione.

This work focuses on Machine Translation (MT) and Speech-to-Speech Translation, two emerging technologies that allow users to automatically translate written and spoken texts. The first part of this work provides a theoretical framework for the evaluation of Google Translate and Microsoft Translator, which is at the core of this study. Chapter one focuses on Machine Translation, providing a definition of this technology and glimpses of its history. In this chapter we will also learn how MT works, who uses it, for what purpose, what its pros and cons are, and how machine translation quality can be defined and assessed. Chapter two deals with Speech-to-Speech Translation by focusing on its history, characteristics and operation, potential uses and limits deriving from the intrinsic difficulty of translating spoken language. After describing the future prospects for SST, the final part of this chapter focuses on the quality assessment of Speech-to-Speech Translation applications. The last part of this dissertation describes the evaluation test carried out on Google Translate and Microsoft Translator, two mobile translation apps also providing a Speech-to-Speech Translation service. Chapter three illustrates the objectives, the research questions, the participants, the methodology and the elaboration of the questionnaires used to collect data. The collected data and the results of the evaluation of the automatic speech recognition subsystem and the language translation subsystem are presented in chapter four and finally analysed and compared in chapter five, which provides a general description of the performance of the evaluated apps and possible explanations for each set of results. In the final part of this work suggestions are made for future research and reflections on the usability and usefulness of the evaluated translation apps are provided.

The Google online marketing challenge and research opportunities

The Google Online Marketing Challenge is an ongoing collaboration between Google and academics, to give students experiential learning. The Challenge gives student teams US$200 in AdWords, Google’s flagship advertising product, to develop online marketing campaigns for actual businesses. The end result is an engaging in-class exercise that provides students and professors with an exciting and pedagogically rigorous competition. Results from surveys at the end of the Challenge reveal positive appraisals from the three—students, businesses, and professors—main constituents; general agreement between students and instructors regarding learning outcomes; and a few points of difference between students and instructors. In addition to describing the Challenge and its outcomes, this article reviews the postparticipation questionnaires and subsequent datasets. The questionnaires and results are publicly available, and this article invites educators to mine the datasets, share their results, and offer suggestions for future iterations of the Challenge.