A study on the usage of mobile devices in collaborative environments vs desktops: An approach based on flow experience

The teaching method using the computer is an added value, it is certainly very appealing to students and more motivating, stimulating them to interact with different situations and depictions of real life, forcing the student to think creatively and independently new subjects and materials. New technologies have created new spaces of knowledge. Now, besides the school, also the company and place of residence became places of education and learning. The number of people in their homes using the Internet to increase their knowledge is increasing. The combination of a personal atmosphere, together with the ability to manage their time and what to learn, makes the use of courses of e-learning increase. In order to evaluate the use of mobile devices and desktops and the potential of mobile devices in collaborative environments vs desktops, it was performed a experiment involving students of higher education. This study has the main objective to validate if the students that use laptops or desktops are in the flow experience and witch of them are more in the flow experience. This study is based on the flow experience introduced by Csikszentmihalyi (1975). The main purpose of this study is to establish whether the user is feeling the flow experience when using Google Groups when using laptops or desktops. In the context of this study, information has been gathered through a survey, applying the five dimensions of the flow state. The sample used consisted on one hundred and twelve students. At the end of the study, after analyzing the gathered information, it was possible to conclude that students have experienced the flow and that it had a positive effect on their learning experiences both by students using laptops or desktops, but having the students that used the laptops more engaged in the flow experience than the students that used desktops.info:eu-repo/semantics/acceptedVersio

A study on the usage of mobile devices in collaborative environments vs desktops: An approach based on flow experience

The teaching method using the computer is an added value, it is certainly very appealing to students and more motivating, stimulating them to interact with different situations and depictions of real life, forcing the student to think creatively and independently new subjects and materials. New technologies have created new spaces of knowledge. Now, besides the school, also the company and place of residence became places of education and learning. The number of people in their homes using the Internet to increase their knowledge is increasing. The combination of a personal atmosphere, together with the ability to manage their time and what to learn, makes the use of courses of e-learning increase. In order to evaluate the use of mobile devices and desktops and the potential of mobile devices in collaborative environments vs desktops, it was performed a experiment involving students of higher education. This study has the main objective to validate if the students that use laptops or desktops are in the flow experience and witch of them are more in the flow experience. This study is based on the flow experience introduced by Csikszentmihalyi (1975). The main purpose of this study is to establish whether the user is feeling the flow experience when using Google Groups when using laptops or desktops. In the context of this study, information has been gathered through a survey, applying the five dimensions of the flow state. The sample used consisted on one hundred and twelve students. At the end of the study, after analyzing the gathered information, it was possible to conclude that students have experienced the flow and that it had a positive effect on their learning experiences both by students using laptops or desktops, but having the students that used the laptops more engaged in the flow experience than the students that used desktops.info:eu-repo/semantics/acceptedVersio

Pando: Personal Volunteer Computing in Browsers

The large penetration and continued growth in ownership of personal electronic devices represents a freely available and largely untapped source of computing power. To leverage those, we present Pando, a new volunteer computing tool based on a declarative concurrent programming model and implemented using JavaScript, WebRTC, and WebSockets. This tool enables a dynamically varying number of failure-prone personal devices contributed by volunteers to parallelize the application of a function on a stream of values, by using the devices' browsers. We show that Pando can provide throughput improvements compared to a single personal device, on a variety of compute-bound applications including animation rendering and image processing. We also show the flexibility of our approach by deploying Pando on personal devices connected over a local network, on Grid5000, a French-wide computing grid in a virtual private network, and seven PlanetLab nodes distributed in a wide area network over Europe.Comment: 14 pages, 12 figures, 2 table

A comparative study between a computer-based and a mobile-based assessment : usability and user experience

Purpose The purpose of this study is to compare the overall usability and user experience of desktop computers and mobile-devices when used in a summative assessment in the context of a higher education course. Design/methodology/approach The study follows a between-groups design. The participants were 110 first-year undergraduate students from a European university. Students in the experimental group participated in the assessment using mobile devices, whereas students in the control group participated using desktop computers. After the assessment, students self-reported their experiences with computer-based assessment (CBA) and mobile-based assessment (MBA), respectively. The instruments used were the user experience questionnaire and the system usability scale. Findings Attractiveness and novelty were reported significantly higher in the experimental group (MBA), while no significant differences were found between the two groups in terms of efficiency, perspicuity, dependability and stimulation. The overall score for the system usability was not found to differ between the two conditions. Practical implications The usability and user experience issues discussed in this study can inform educators and policymakers about the potential of using mobile devices in online assessment practices, as an alternative to desktop computers. Originality/value The study is novel, in that it provides quantitative evidence for the usability and user experience of both desktop computers and mobile devices when used in a summative assessment in the context of a higher education course. Study findings can contribute towards the interchangeable usage of desktop computers and mobile devices in assessment practices in higher education

New concepts integration on e-learning platforms

The learning experience has evolved into the virtual world of the Internet, where learners have the possibility to shift from face-to-face learning environments to virtual learning environments supported by technologies. This concept, called e-learning, emerged in the early 1960s where a group of researchers from the Stanford University, USA began experimenting different ways to publish and assign learning content using a computer. These experiments were the beginning that led to the creation of countless learning platforms, initially constructed in standalone environments and later ported to the Internet as Webbased learning platforms. As initial objectives, these learning platforms include a collection of features to support instructors and learners in the learning process. However, some of these platforms continued to be based on an old instructor-centered learning model and created a collection of outdated technologies that, given the current need to a learner-center learning model and the existence of Web 2.0 technologies, become inadequate. As a solution to address and overcome these challenges, a friendly user interface and a correct root incorporation of Web 2.0 services a platform designed to focus the learning experience and environment personalization into the learner is needed to propose. In an operating system (OS) context the graphic user interface (GUI) is guided by a collection of approaches that details how human beings should interact with computers. These are the key ideas to customize, install, and organize virtual desktops. The combination of desktop concepts into a learning platform can be an asset to reduce the learning curve necessary to know how to use the system and also to create a group of flexible learning services. However, due to limitations in hypertext transfer protocol-hypertext markup language (HTTP-HTML) traditional solutions, to shift traditional technologies to a collection of rich Internet application (RIA) technologies and personal learning environments (PLEs) concepts is needed, in order to construct a desktop-like learning platform. RIA technologies will allow the design of powerful Web solutions containing many of the characteristics of desktop-like applications. Additionally, personal learning environments (PLEs) will help learners to manage learning contents. In this dissertation the personal learning environment box (PLEBOX) is presented. The PLEBOX platform is a customizable, desktop-like platform similar to the available operating systems, based on personal learning environments concepts and rich Internet applications technologies that provide a better learning environment for users. PLEBOX developers have a set of tools that allow the creation of learning and management modules that can be installed on the platform. These tools are management learning components and interfaces built as APIs, services, and objects of the software development kit (SDK). A group of prototype modules were build for evaluation of learning and management services, APIs, and SDKs. Furthermore, three case studies were created in order to evaluate and demonstrate the learning service usage in external environments. The PLEBOX deployment and corresponding features confirms that this platform can be seen as a very promising e-learning platform. Exhaustive experiments were driven with success and it is ready for use.A experiência de aprendizagem baseada em tecnologias evoluiu para o mundo virtual da Internet, onde os alunos têm a possibilidade de mudar uma aprendizagem presencial em sala de aula para uma aprendizagem baseada em ambientes virtuais de aprendizagem suportados por tecnologias. O conceito de e-learning surgiu nos anos sessenta (1960) quando um grupo de investigadores da Universidade de Standford, nos Estados Unidos, começaram a experimentar diferentes formas de publicar e atribuir conteúdos de aprendizagem através do computador. Estas experiências marcaram o começo que levou à criação de inúmeras plataformas de aprendizagem, inicialmente construídas em ambientes isolados e depois migradas para a Internet como plataformas de aprendizagem baseadas na Web. Como objectivos inicias, estas plataformas de aprendizagem incluem um conjunto de recursos para apoiar professores e alunos no processo de aprendizagem. No entanto, algumas destas plataformas continuam a ser baseadas em velhos modelos de aprendizagem centrados no professor, criadas com base em tecnologias ultrapassadas que, dadas as necessidades actuais de um modelo de aprendizagem centrado no aluno e da existência de tecnologias baseadas na Web 2.0, se tornaram inadequadas. Como abordagem para enfrentar e superar estes desafios propõem-se uma plataforma focada na personalização do ambiente de aprendizagem do aluno, composta por uma interface amigável e uma correcta incorporação de raiz de serviços da Web 2.0. No contexto dos sistemas operativos (SOs) o graphic user interface (GUI) é desenhado tendo em conta um conjunto de abordagens que detalha como as pessoas devem interagir com os computadores. Estas são as ideias chave para personalizar, instalar e organizar áreas de trabalho virtuais. A combinação do conceito desktop com uma plataforma de aprendizagem pode ser um trunfo para reduzir a curva de aprendizagem necessária para saber como utilizar o sistema e também para criar um grupo de serviços flexíveis de aprendizagem. No entanto, devido as limitações em soluções tradicionais hypertext transfer protocol - hypertext markup language (HTTP - HTML), é necessário migrar estas tecnologias para um grupo de tecnologias rich Internet application (RIA) e conceitos presentes em ambientes personalizados de aprendizagem (personal learning environment - PLE) para construir uma plataforma baseada em ambientes de trabalho virtuais de aprendizagem. As tecnologias RIA irão permitir a criação de soluções Web poderosas que contêm muitas das características disponíveis em aplicações desktop. Adicionalmente, o conceitos de PLE irá ajudar os alunos a gerir os seus próprios conteúdos de aprendizagem. Nesta dissertação, com base nas características apresentadas anteriormente, é apresentada a personal learning environment box (PLEBOX). A plataforma PLEBOX é uma solução de aprendizagem parametrizável com um ambiente de trabalho semelhante aos sistemas operativos actuais, baseando-se em personal learning environments e tecnologias RIA que fornecem um melhor ambiente de aprendizagem para os seus utilizadores. Os programadores da PLEBOX têm ao seu dispor um conjunto de ferramentas que permitem a criação de módulos de aprendizagem e administração que podem ser instalados na plataforma. Estas ferramentas são componentes de aprendizagem e interfaces construídos como APIs, serviços e objectos do software development kit (SDK). Foi construído um conjunto de módulos com o objectivo de avaliar e demonstrar os serviços de aprendizagem, os serviços de gestão, APIs e SDKs. Para além disso, foram criados três casos de estudo para avaliar e demonstrar a utilização dos serviços de aprendizagem em ambientes externos. O desenvolvimento efectuado até ao momento na PLEBOX e respectivos recursos confirma que esta plataforma pode ser vista com uma promissora plataforma de aprendizagem (e-learning), totalmente modular e adaptativa. Realizaram-se experiências exaustivas para testar a plataforma e estas foram realizadas com sucesso num ambiente real, estando assim a plataforma pronta para exploração real

ICE-B 2010:proceedings of the International Conference on e-Business

The International Conference on e-Business, ICE-B 2010, aims at bringing together researchers and practitioners who are interested in e-Business technology and its current applications. The mentioned technology relates not only to more low-level technological issues, such as technology platforms and web services, but also to some higher-level issues, such as context awareness and enterprise models, and also the peculiarities of different possible applications of such technology. These are all areas of theoretical and practical importance within the broad scope of e-Business, whose growing importance can be seen from the increasing interest of the IT research community. The areas of the current conference are: (i) e-Business applications; (ii) Enterprise engineering; (iii) Mobility; (iv) Business collaboration and e-Services; (v) Technology platforms. Contributions vary from research-driven to being more practical oriented, reflecting innovative results in the mentioned areas. ICE-B 2010 received 66 submissions, of which 9% were accepted as full papers. Additionally, 27% were presented as short papers and 17% as posters. All papers presented at the conference venue were included in the SciTePress Digital Library. Revised best papers are published by Springer-Verlag in a CCIS Series book

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/

TagAlong: Informal Learning from a Remote Companion with Mobile Perspective Sharing

Questions often arise spontaneously in a curious mind, due to an observation about a new or unknown environment. When an expert is right there, prepared to engage in dialog, this curiosity can be harnessed and converted into highly effective, intrinsically motivated learning. This paper investigates how this kind of situated informal learning can be realized in real-world settings with wearable technologies and the support of a remote learning companion. In particular, we seek to understand how the use of different multimedia communication mediums impacts the quality of the interaction with a remote teacher, and how these remote interactions compare with face-to-face, co-present learning. A prototype system called TagAlong was developed with attention to features that facilitate dialog based on the visual environment. It was developed to work robustly in the wild, depending only on widely-available components and infrastructure. A pilot study was performed to learn about what characteristics are most important for successful interactions, as a basis for further system development and a future full-scale study. We conclude that it is critical for system design to be informed by (i) an analysis of the attentional burdens imposed by the system on both wearer and companion and (ii) a knowledge of the strengths and weaknesses of co-present learning.Google Inc. Faculty Research Awar

Understanding Multi-Device Usage Patterns: Physical Device Configurations and Fragmented Workflows

To better ground technical (systems) investigation and interaction design of cross-device experiences, we contribute an in-depth survey of existing multi-device practices, including fragmented workflows across devices and the way people physically organize and configure their workspaces to support such activity. Further, this survey documents a historically significant moment of transition to a new future of remote work, an existing trend dramatically accelerated by the abrupt switch to work-from-home (and having to contend with the demands of home-at-work) during the COVID-19 pandemic. We surveyed 97 participants, and collected photographs of home setups and open-ended answers to 50 questions categorized in 5 themes. We characterize the wide range of multi-device physical configurations and identify five usage patterns, including: partitioning tasks, integrating multi-device usage, cloning tasks to other devices, expanding tasks and inputs to multiple devices, and migrating between devices. Our analysis also sheds light on the benefits and challenges people face when their workflow is fragmented across multiple devices. These insights have implications for the design of multi-device experiences that support people's fragmented workflows