2,092 research outputs found

    Digital Technologies for Teaching English as a Foreign/Second Language: a collective monograph

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    Колективна монографія розкриває різні аспекти використання цифрових технологій у навчанні англійської мови як іноземної/другої мови (цифровий сторітелінг, мобільні застосунки, інтерактивне навчання і онлайн-ігри, тощо) та надає освітянам і дослідникам ресурс для збагачення їхньої професійної діяльності. Окрема увага приділена цифровим інструментам для впровадження соціально-емоційного навчання та інклюзивної освіти на уроках англійської мови. Для вчителів англійської мови, методистів, викладачів вищих закладів освіти, науковців, здобувачів вищої освіти

    Digitalization and Development

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    This book examines the diffusion of digitalization and Industry 4.0 technologies in Malaysia by focusing on the ecosystem critical for its expansion. The chapters examine the digital proliferation in major sectors of agriculture, manufacturing, e-commerce and services, as well as the intermediary organizations essential for the orderly performance of socioeconomic agents. The book incisively reviews policy instruments critical for the effective and orderly development of the embedding organizations, and the regulatory framework needed to quicken the appropriation of socioeconomic synergies from digitalization and Industry 4.0 technologies. It highlights the importance of collaboration between government, academic and industry partners, as well as makes key recommendations on how to encourage adoption of IR4.0 technologies in the short- and long-term. This book bridges the concepts and applications of digitalization and Industry 4.0 and will be a must-read for policy makers seeking to quicken the adoption of its technologies

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    An End, Once and for All: Mass Effect 3, Video Game Controversies, and the Fight for Player Agency

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    Since the success of the player-led Mass Effect 3 ending controversy, player-led video game controversies have become mainstream sites of industrial and ideological contention between developers, players, and the culture itself. This dissertation focuses on the history of the Mass Effect 3 ending controversy, the game’s specific textual qualities that encouraged player protest, and the negotiations between players and developers in online spaces that persuaded developers to alter the game’s ending based on player demands. Using the Mass Effect 3 as its primary object, this dissertation argues this controversy—as well as subsequent player-led video game controversies—was not simply the result of dissatisfaction with a single plot point or representation in the text or video game community, but the complex negotiation of creative differences between players and developers over the production and control of video game texts and culture. Video games and their controversies are rooted in the medium\u27s intrinsic qualities of interactivity, choice, labor and the need for shared production between developers and players to progress and produce a video game text, which encourages the development of a sense of agency and ownership over the text for both groups. This dissertation argues that video games are not just texts that developers create and that players play, but rather texts produced through the co-creative production practice that Axel Bruns has defined as “produsage”—texts where producers act in dual roles as users while users to also act as producers—that allow players a creative stake in the outcome of a video game text, encourages a sense of agency and ownership, and collapses traditional boundaries between developers and players. Video game controversies naturally arise when players perceive a loss of agency and control over the video game text and attempt to reclaim control over ownership of the text through controversy

    Reaching the Edge of the Edge: Image Analysis in Space

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    Satellites have become more widely available due to the reduction in size and cost of their components. As a result, there has been an advent of smaller organizations having the ability to deploy satellites with a variety of data-intensive applications to run on them. One popular application is image analysis to detect, for example, land, ice, clouds, etc. for Earth observation. However, the resource-constrained nature of the devices deployed in satellites creates additional challenges for this resource-intensive application. In this paper, we present our work and lessons-learned on building an Image Processing Unit (IPU) for a satellite. We first investigate the performance of a variety of edge devices (comparing CPU, GPU, TPU, and VPU) for deep-learning-based image processing on satellites. Our goal is to identify devices that can achieve accurate results and are flexible when workload changes while satisfying the power and latency constraints of satellites. Our results demonstrate that hardware accelerators such as ASICs and GPUs are essential for meeting the latency requirements. However, state-of-the-art edge devices with GPUs may draw too much power for deployment on a satellite. Then, we use the findings gained from the performance analysis to guide the development of the IPU module for an upcoming satellite mission. We detail how to integrate such a module into an existing satellite architecture and the software necessary to support various missions utilizing this module

    The Individual And Their World

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    Microcredentials to support PBL

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    Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence

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    The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The complexity comes not only from the number of elements that compose the workflows but also from the type of computations they perform. While traditional HPC workflows target simulations and modelling of physical phenomena, current needs require in addition data analytics (DA) and artificial intelligence (AI) tasks. However, the development of these workflows is hampered by the lack of proper programming models and environments that support the integration of HPC, DA, and AI, as well as the lack of tools to easily deploy and execute the workflows in HPC systems. To progress in this direction, this paper presents use cases where complex workflows are required and investigates the main issues to be addressed for the HPC/DA/AI convergence. Based on this study, the paper identifies the challenges of a new workflow platform to manage complex workflows. Finally, it proposes a development approach for such a workflow platform addressing these challenges in two directions: first, by defining a software stack that provides the functionalities to manage these complex workflows; and second, by proposing the HPC Workflow as a Service (HPCWaaS) paradigm, which leverages the software stack to facilitate the reusability of complex workflows in federated HPC infrastructures. Proposals presented in this work are subject to study and development as part of the EuroHPC eFlows4HPC project.This work has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955558. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, Germany, France, Italy, Poland, Switzerland and Norway. In Spain, it has received complementary funding from MCIN/AEI/10.13039/501100011033, Spain and the European Union NextGenerationEU/PRTR (contracts PCI2021-121957, PCI2021-121931, PCI2021-121944, and PCI2021-121927). In Germany, it has received complementary funding from the German Federal Ministry of Education and Research (contracts 16HPC016K, 6GPC016K, 16HPC017 and 16HPC018). In France, it has received financial support from Caisse des dépôts et consignations (CDC) under the action PIA ADEIP (project Calculateurs). In Italy, it has been preliminary approved for complimentary funding by Ministero dello Sviluppo Economico (MiSE) (ref. project prop. 2659). In Norway, it has received complementary funding from the Norwegian Research Council, Norway under project number 323825. In Switzerland, it has been preliminary approved for complimentary funding by the State Secretariat for Education, Research, and Innovation (SERI), Norway. In Poland, it is partially supported by the National Centre for Research and Development under decision DWM/EuroHPCJU/4/2021. The authors also acknowledge financial support by MCIN/AEI /10.13039/501100011033, Spain through the “Severo Ochoa Programme for Centres of Excellence in R&D” under Grant CEX2018-000797-S, the Spanish Government, Spain (contract PID2019-107255 GB) and by Generalitat de Catalunya, Spain (contract 2017-SGR-01414). Anna Queralt is a Serra Húnter Fellow.With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2018-000797-S)
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