187 research outputs found

    Music Learning with Massive Open Online Courses

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    Steels, Luc et al.-- Editors: Luc SteelsMassive Open Online Courses, known as MOOCs, have arisen as the logical consequence of marrying long-distance education with the web and social media. MOOCs were confidently predicted by advanced thinkers decades ago. They are undoubtedly here to stay, and provide a valuable resource for learners and teachers alike. This book focuses on music as a domain of knowledge, and has three objectives: to introduce the phenomenon of MOOCs; to present ongoing research into making MOOCs more effective and better adapted to the needs of teachers and learners; and finally to present the first steps towards 'social MOOCs’, which support the creation of learning communities in which interactions between learners go beyond correcting each other's assignments. Social MOOCs try to mimic settings for humanistic learning, such as workshops, small choirs, or groups participating in a Hackathon, in which students aided by somebody acting as a tutor learn by solving problems and helping each other. The papers in this book all discuss steps towards social MOOCs; their foundational pedagogy, platforms to create learning communities, methods for assessment and social feedback and concrete experiments. These papers are organized into five sections: background; the role of feedback; platforms for learning communities; experiences with social MOOCs; and looking backwards and looking forward. Technology is not a panacea for the enormous challenges facing today's educators and learners, but this book will be of interest to all those striving to find more effective and humane learning opportunities for a larger group of students.Funded by the European Commission's OpenAIRE2020 project.Peer reviewe

    Strategies for Combining e-Learning and Serious Games

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    Analisar as múltiplas valências dos sistemas de aprendizagem em e-learning constitui um desafio. A educação e a comunicação estão em constante (r)evolução. Os fenómenos da globalização afetam de forma direta e/ou indireta a maioria das áreas da atividade humana e os sistemas de ensino aprendizagem não são exceção. A relação entre a utilização de ferramentas e as estratégias digitais é um ponto fulcral desta dissertação. Nesta dissertação doutoral teve como objeto a contextualização e problematização das diferentes estratégias na utilização de game-based na aprendizagem e estratégias de utilização do e-learning. A utilização de jogos sérios no âmbito das aprendizagens digitais em Portugal não é pratica comum no contexto educativo. Assim, esta dissertação foi desenvolvida para a definição de estratégias de utilização dos jogos sérios e e-learning, propondo uma utilização pedagógica dos jogos sérios em sala de aula por forma a motivar e consolidar conhecimentos adquiridos. A construção de jogos sérios com o intuito de corresponder às necessidades foi o objeto de análise da experiência controlada. O jogo sério “Alpha Patrol” foi conceptualizado, desenvolvido e testado sob responsabilidade do Centro de Investigação para Tecnologias Interactivas. O projeto de investigação envolveu diferentes etapas da investigação de forma a adoptar uma estratégia de análise, que por vezes, se mostrou difícil e ingrata. Investigar e desenvolver jogos sérios em Portugal confronta-se com ambientes indiferentes ou mesmo hostis. O preconceito de jogar (em especial no espaço de sala de aula) ainda existe. No estudo de caso que a dissertação apresenta e desenvolve foi decidido que, face a algumas limitações sociais e culturais, o objecto digital a ser analisado apresenta-se uma estrutura híbrida: livro e jogo dele extraído. A experiência controlada permitiu definir os parâmetros sobre o jogo sério criado, os elementos de motivação, a pertinência na utilização de diferentes estratégias como o livro, os quizzes e as medalhas de aprendizagem.To analyze multiple valences of learning systems in e-Learning is a challenge. Education and communication are in constant (r)evolution. The phenomena of globalization affect directly and/or indirectly most areas of human activity and learning educational systems are no exception. This doctoral dissertation focuses on the context and problematization of different strategies in the use of game-based learning and the use of e-learning strategies. The relationship between the use of tools and digital strategies is a key point of this thesis. The use of serious games in the digital learning context in Portugal is not a common practice in the educational context. Thus, this thesis was developed to define the use of elearning and serious games strategies, proposing a pedagogical approach to the use of serious games in the classroom in order to motivate and consolidate knowledge acquisition. The construction of serious games in order to meet the identified needs was the object of analysis of the controlled experiment. The serious game "Alpha Patrol" was conceptualized, developed and tested under the responsibility of the Research Center for Interactive Technologies. The research project involved different stages of the investigation in order to adopt a strategy of analysis, which sometimes proved to be difficult. Research and develop serious games in Portugal is often faced with indifference or even hostile environments. Prejudice to play as a form of knowledge acquisition (especially in the classroom) still exists. With this in mind, in the case study it was decided that the digital object had to present a hybrid structure: a book and the serious game. The controlled experiment allowed to set the parameters for the serious game created, the motivation elements, the relevance of using different strategies like the book, quizzes and learning medals

    On Data-driven systems analyzing, supporting and enhancing users’ interaction and experience

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    Tesis doctoral en inglés y resumen extendido en español[EN] The research areas of Human-Computer Interaction and Software Architectures have been traditionally treated separately, but in the literature, many authors made efforts to merge them to build better software systems. One of the common gaps between software engineering and usability is the lack of strategies to apply usability principles in the initial design of software architectures. Including these principles since the early phases of software design would help to avoid later architectural changes to include user experience requirements. The combination of both fields (software architectures and Human-Computer Interaction) would contribute to building better interactive software that should include the best from both the systems and user-centered designs. In that combination, the software architectures should enclose the fundamental structure and ideas of the system to offer the desired quality based on sound design decisions. Moreover, the information kept within a system is an opportunity to extract knowledge about the system itself, its components, the software included, the users or the interaction occurring inside. The knowledge gained from the information generated in a software environment can be used to improve the system itself, its software, the users’ experience, and the results. So, the combination of the areas of Knowledge Discovery and Human-Computer Interaction offers ideal conditions to address Human-Computer-Interaction-related challenges. The Human-Computer Interaction focuses on human intelligence, the Knowledge Discovery in computational intelligence, and the combination of both can raise the support of human intelligence with machine intelligence to discover new insights in a world crowded of data. This Ph.D. Thesis deals with these kinds of challenges: how approaches like data-driven software architectures (using Knowledge Discovery techniques) can help to improve the users' interaction and experience within an interactive system. Specifically, it deals with how to improve the human-computer interaction processes of different kind of stakeholders to improve different aspects such as the user experience or the easiness to accomplish a specific task. Several research actions and experiments support this investigation. These research actions included performing a systematic literature review and mapping of the literature that was aimed at finding how the software architectures in the literature have been used to support, analyze or enhance the human-computer interaction. Also, the actions included work on four different research scenarios that presented common challenges in the Human-Computer Interaction knowledge area. The case studies that fit into the scenarios selected were chosen based on the Human-Computer Interaction challenges they present, and on the authors’ accessibility to them. The four case studies were: an educational laboratory virtual world, a Massive Open Online Course and the social networks where the students discuss and learn, a system that includes very large web forms, and an environment where programmers develop code in the context of quantum computing. The development of the experiences involved the review of more than 2700 papers (only in the literature review phase), the analysis of the interaction of 6000 users in four different contexts or the analysis of 500,000 quantum computing programs. As outcomes from the experiences, some solutions are presented regarding the minimal software artifacts to include in software architectures, the behavior they should exhibit, the features desired in the extended software architecture, some analytic workflows and approaches to use, or the different kinds of feedback needed to reinforce the users’ interaction and experience. The results achieved led to the conclusion that, despite this is not a standard practice in the literature, the software environments should embrace Knowledge Discovery and data-driven principles to analyze and respond appropriately to the users’ needs and improve or support the interaction. To adopt Knowledge Discovery and data-driven principles, the software environments need to extend their software architectures to cover also the challenges related to Human-Computer Interaction. Finally, to tackle the current challenges related to the users’ interaction and experience and aiming to automate the software response to users’ actions, desires, and behaviors, the interactive systems should also include intelligent behaviors through embracing the Artificial Intelligence procedures and techniques

    On data-driven systems analyzing, supporting and enhancing users’ interaction and experience

    Get PDF
    [EN]The research areas of Human-Computer Interaction and Software Architectures have been traditionally treated separately, but in the literature, many authors made efforts to merge them to build better software systems. One of the common gaps between software engineering and usability is the lack of strategies to apply usability principles in the initial design of software architectures. Including these principles since the early phases of software design would help to avoid later architectural changes to include user experience requirements. The combination of both fields (software architectures and Human-Computer Interaction) would contribute to building better interactive software that should include the best from both the systems and user-centered designs. In that combination, the software architectures should enclose the fundamental structure and ideas of the system to offer the desired quality based on sound design decisions. Moreover, the information kept within a system is an opportunity to extract knowledge about the system itself, its components, the software included, the users or the interaction occurring inside. The knowledge gained from the information generated in a software environment can be used to improve the system itself, its software, the users’ experience, and the results. So, the combination of the areas of Knowledge Discovery and Human-Computer Interaction offers ideal conditions to address Human-Computer-Interaction-related challenges. The Human-Computer Interaction focuses on human intelligence, the Knowledge Discovery in computational intelligence, and the combination of both can raise the support of human intelligence with machine intelligence to discover new insights in a world crowded of data. This Ph.D. Thesis deals with these kinds of challenges: how approaches like data-driven software architectures (using Knowledge Discovery techniques) can help to improve the users' interaction and experience within an interactive system. Specifically, it deals with how to improve the human-computer interaction processes of different kind of stakeholders to improve different aspects such as the user experience or the easiness to accomplish a specific task. Several research actions and experiments support this investigation. These research actions included performing a systematic literature review and mapping of the literature that was aimed at finding how the software architectures in the literature have been used to support, analyze or enhance the human-computer interaction. Also, the actions included work on four different research scenarios that presented common challenges in the Human- Computer Interaction knowledge area. The case studies that fit into the scenarios selected were chosen based on the Human-Computer Interaction challenges they present, and on the authors’ accessibility to them. The four case studies were: an educational laboratory virtual world, a Massive Open Online Course and the social networks where the students discuss and learn, a system that includes very large web forms, and an environment where programmers develop code in the context of quantum computing. The development of the experiences involved the review of more than 2700 papers (only in the literature review phase), the analysis of the interaction of 6000 users in four different contexts or the analysis of 500,000 quantum computing programs. As outcomes from the experiences, some solutions are presented regarding the minimal software artifacts to include in software architectures, the behavior they should exhibit, the features desired in the extended software architecture, some analytic workflows and approaches to use, or the different kinds of feedback needed to reinforce the users’ interaction and experience. The results achieved led to the conclusion that, despite this is not a standard practice in the literature, the software environments should embrace Knowledge Discovery and datadriven principles to analyze and respond appropriately to the users’ needs and improve or support the interaction. To adopt Knowledge Discovery and data-driven principles, the software environments need to extend their software architectures to cover also the challenges related to Human-Computer Interaction. Finally, to tackle the current challenges related to the users’ interaction and experience and aiming to automate the software response to users’ actions, desires, and behaviors, the interactive systems should also include intelligent behaviors through embracing the Artificial Intelligence procedures and techniques

    Validation of Non-formal MOOC-based Learning: An Analysis of Assessment and Recognition Practices in Europe (OpenCred)

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    This report presents the outcomes of research, conducted between May 2014 and November 2015, into emerging practices in assessment, credentialisation and recognition in Massive Open Online Courses (MOOCs). Following extensive research on MOOCs in European Member States, it provides a snapshot of how European Higher Education Institutions (HEIs) recognise (or not) non-formal learning (particularly MOOC-based), and how some employers recognise open badges and MOOC certificates for continuing professional development. We analyse the relationship between forms of assessment used and credentials awarded, from badges for self-assessment to ECTS credits for on-site examinations, and consider the implications for recognition. Case studies provide deeper insights into existing practices. The report introduces a model which guides MOOC conveners in positioning and shaping their offers, and also helps institutions and employers to make recognition decisions. It concludes with a set of recommendations to European HEIs and policy makers to enable wider recognition of open learning in higher education and at the workplace.JRC.J.3-Information Societ

    The student-produced electronic portfolio in craft education

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    The authors studied primary school students’ experiences of using an electronic portfolio in their craft education over four years. A stimulated recall interview was applied to collect user experiences and qualitative content analysis to analyse the collected data. The results indicate that the electronic portfolio was experienced as a multipurpose tool to support learning. It makes the learning process visible and in that way helps focus on and improves the quality of learning. © ISLS.Peer reviewe

    7th International Conference on Higher Education Advances (HEAd'21)

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    Information and communication technologies together with new teaching paradigms are reshaping the learning environment.The International Conference on Higher Education Advances (HEAd) aims to become a forum for researchers and practitioners to exchange ideas, experiences,opinions and research results relating to the preparation of students and the organization of educational systems.Doménech I De Soria, J.; Merello Giménez, P.; Poza Plaza, EDL. (2021). 7th International Conference on Higher Education Advances (HEAd'21). Editorial Universitat Politècnica de València. https://doi.org/10.4995/HEAD21.2021.13621EDITORIA
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