12,565 research outputs found

    Exploring pre-service visual art teachers’ competitiveness through porter’s five forces model

    Get PDF
    The primary objective of this cross-sectional study was to explore the degree to which 117 pre-service visual art teachers’ competitiveness within the education field. A self-reported competitiveness scale (six items distributed between three factors) was designed and validated by the authors based on the focal points of Michael Porter’s Five Forces framework. Additionally, the   respondents’ digital competence was assessed as an auxiliary criterion of educator attractiveness in the art education domain. Both competitiveness and digital skills measurements yielded mediocre scores. Regression analysis showed that respondents’ competitiveness perceptions were predicted neither by digital skills level nor by socio-demographic characteristics such as age, gender, rural or urban background, marital status or whether the student was a graduate or undergraduate. The present study highlights the need for understanding of how visual art majors perceive the sector and   evaluate competitiveness among visual art students which itself indicates its sizable contribution to educational research. Other researchers can employ the competitiveness questionnaire introduced to gain deeper insights into the topic or related subjects

    Real-Time Statistics for Padel Tennis Using Artificial Intelligence

    Get PDF
    O Padel, desporto conhecido pelo seu crescimento explosivo e jogabilidade emocionante, estĂĄ Ă  beira de uma revolução tecnolĂłgica. Com o objetivo de transformar o jogo de Padel atravĂ©s do uso criativo de tĂ©cnicas de deteção de objetos e Deep Learning, esta dissertação de mestrado investiga a junção da InteligĂȘncia Arti cial (IA) e do Padel. O principal objetivo Ă© usar a IA para produzir estatĂ­sticas em tempo real que darĂŁo aos jogadores, treinadores e fĂŁs um melhor conhecimento das complexidades do Padel e dos meios para levar o jogo a novos patamares. Esta dissertação explora a monitorização e localização em tempo real dos jogadores e da bola dentro do campo, atravĂ©s de algoritmos de visĂŁo computacional. As Redes Neu ronais de Convolução (RNC), um tipo de modelo de Deep Learning, sĂŁo essenciais para o reconhecimento preciso de eventos e açÔes importantes durante o jogo. A criação de um sistema baseado em IA que produz dados instantĂąneos para partidas de Padel Ă© a inovação central desta dissertação. Estas estatĂ­sticas oferecem uma visĂŁo analĂ­tica e detalhada de cada jogo, tendo em consideração os movimentos dos jogadores, as trajetĂłrias da bola e a dinĂąmica do jogo. Esta dissertação nĂŁo promove apenas o Padel, mas tambĂ©m cria novas oportunidades para a utilização de IA em outros desportos.The sport of Padel, known for its explosive growth and exciting gameplay, is on the verge of a technological revolution. With the goal of transforming the game of Padel through the creative use of object detection and deep learning techniques, this master's thesis investi gates the junction of Arti cial Intelligence (AI) and Padel. The main goal is to use AI to produce real-time statistics that will give players, coaches and fans a better knowledge of the complexities of Padel and the means to take the game to new heights. This dissertation explores the real-time tracking and localization of players and the ball within the court by utilizing cutting-edge computer vision algorithms. Convolution Neural Networks (CNN), one type of deep learning model, are essential for the precise recognition of important gaming events and actions. The creation of an AI-driven system that produces in-the-moment data for Padel matches is the central innovation of this dissertation. These statistics o er a detailed and analytical view of each game by taking into account player movements, ball trajectories, and game dynamics. This dissertation not only advances the sport of Padel but also creates new op portunities for the use of AI in other sports analytics

    The Augmented Learner : The pivotal role of multimedia enhanced learning within a foresight-based learning model designed to accelerate the delivery of higher levels of learner creativity

    Get PDF
    The central theme for this dissertation lies at the intersection of multisensory technology enhanced learning, the field of foresight and transformative pedagogy and their role in helping to develop greater learner creativity. These skills will be key to meeting the needs of the projected growing role of the creative class within the emerging global workforce structure and the projected growth in R&D and the advancement of human-machine resource management. Over the past two decades, we have traversed from the Industrial Age through the Information Age into what we now call postnormal times, manifested partly in Industry 4.0. It is widely considered that the present education system in countries with developed economies is not optimised for delivering the much-needed creative skills, which are prominent amongst the critical 21st C skills required by the creative class, (also known as creatives), which will be increasingly dominant in terms of near future employability. Consequently, there will be a potential shortfall of creatives unless this issue is rapidly addressed. To ensure that the creative skills I aimed to enhance were relevant and aligned with emerging demands of the changing landscape, I deconstructed the critical dimensions, context, and concept of creativity in postnormal times as well as undertaking in-depth research on the potential future workscape and the future of education and learning, applying a comprehensive foresight approach to the latter using a 2030-2040 horizon. Based upon the outcomes of these studies I designed an experimental integrative learning system that I have applied, researched, and evolved over the past 4 years with over 150 students at PhD and master’s level. The system is aimed at generating higher levels of creative engagement and development through a focus on increased immersion and creativity-inducing approaches. The system, which I call the Living Learning System, is based upon eight integrated elements, supported by course development pillars aimed at optimizing learner future skill competencies and levels of creativity for which I apply severalevaluation techniques and metrics. Accordingly, as the central hypothesis of this dissertation, I argue that by integrating the critical elements of the Living Learning System, such as emerging multisensory technology enhanced learning coupled with optimised transformative and experiential learning approaches, framed within the field of foresight, with its futures focus and decentralised thinking approaches, students increase their ability to be creative. This increased ability is based on the student attaining a richer level of personal ambience through deeper immersion generated through higher incidence of self-direction, constructivism-based blended pedagogy, futures literacy, and a balance of decentralised and systems-based thinking, as well as cognitive and social platforms aimed at optimizing learner creative achievement. This dissertation demonstrates how the application of the combined elements of the Living Learning System, with its futures focus and its ensuing transdisciplinary curricula and courses, can provide a clear path towards significantly increased learner creativity. The findings of the quantitative, questionnaire-based research set out in detail in Chapter 9, together with the performance and creativity evaluation models applied against the selected case studies of student projects substantiate the validity of the hypothesis that the application of the Living Learning System with its futures focus leads to increased creativity in line with the needs of the postnormal era.publishedVersio
    • 

    corecore