323,415 research outputs found

    Action Research : the first steps to start up a pilot experiment in heritage education

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    Peer-reviewedLes relacions entre els museus i les escoles canvien amb l'ús d'internet. Volem analitzar com aquestes noves relacions tenen lloc a una escala nacional. És important analitzar aquestes noves relacions possibles, que són producte de canvis socials i tecnològics, ja que permeten noves interaccions i participació, al mateix temps que demanen canvis en les formes d'organització, la gestió de recursos web i els models d'ensenyament i aprenentatge. Concretament, les xarxes d'aprenentatge poden establir una nova forma de relació entre els museus i les escoles, i els recursos educatius en línia amb contingut sobre patrimoni cultural poden oferir oportunitats d'aprenentatge i recursos de coneixement més enllà dels límits de l'ensenyament formal. Tanmateix, calen projectes experimentals per a efectuar proves i veure com aquests tipus de pràctiques d'ensenyament i aprenentatge funcionaran en un context social i cultural concret. Així, doncs, la recerca activa pot contribuir al desenvolupament d'una experiència d'aprenentatge, basat en la reflexió i l'acció. L'objectiu d'aquesta experimentació és obtenir un model de treball i millors pràctiques per a aprendre i ensenyar en xarxes d'aprenentatge formades per gestors, professors i estudiants de patrimoni en què els membres produeixin i utilitzin recursos educatius en línia amb contingut de patrimoni cultural. Els resultats d'aquest projecte empíric seran comprovats amb resultats de la primera part metodològica de la tesi doctoral per a obtenir un model que es pugui exportar a altres contextos.Las relaciones entre los museos y las escuelas cambian con el uso de internet. Queremos analizar cómo estas nuevas relaciones tienen lugar a una escala nacional. Es importante analizar estas posibles nuevas relaciones, que son producto de cambios sociales y tecnológicos, ya que permiten nuevas interacciones y participación, a la vez que requieren cambios en las formas de organización, la gestión de recursos web y los modelos de enseñanza y aprendizaje. Concretamente, las redes de aprendizaje pueden establecer una nueva forma de relación entre los museos y las escuelas, y los recursos educativos en línea con contenido de patrimonio cultural pueden ofrecer oportunidades de aprendizaje y recursos de conocimiento más allá de los límites de la enseñanza formal. No obstante, existe una necesidad de proyectos experimentales para realizar pruebas para ver cómo estos tipos de prácticas de enseñanza y aprendizaje funcionarán en un contexto social y cultural concreto. Así pues, la investigación-acción puede contribuir al desarrollo de una experiencia de aprendizaje, basado en la reflexión y las acciones. El objetivo de esta experimentación es obtener un modelo de trabajo y mejores prácticas para el aprendizaje y la enseñanza en redes de aprendizaje formadas por gestores, profesores y estudiantes del patrimonio en las que los miembros produzcan y utilicen recursos en línea con contenido de patrimonio cultural. Los resultados de este proyecto de investigación empírico serán comparados con los resultados de la primera parte metodológica de la tesis doctoral para obtener un modelo que pueda ser exportado a otros contextos.The relationships between museums and schools are changing through the use of internet. We want to analyse how these new relationships occur at a national level. It is important to analyse these possible new relationships, which are the product of social and technological changes. They allow for new interactions and participation whilst requiring changes in the forms of organisation, web resource management, and teaching and learning models. Specifically, learning networks can establish a new form of relationship between museums and schools and educational online resources with cultural heritage content can offer learning opportunities and knowledge resources beyond the boundaries of formal education. However, there is a need for experimental projects to test the evidence and to see how these kinds of teaching and learning practices will work within a concrete social and cultural context. Thus, Action Research can contribute to the development of a learning experience, based on reflection and actions. The aim of this experimentation is to obtain a working model and best practices for learning and teaching in learning networks shaped by heritage managers, teachers and students where the members produce and use educational online resources with cultural heritage content. The results of this empirical research project will be compared with results from the first methodological part of the PhD thesis to obtain a model that can be exported to other contexts

    Immersive Telepresence: A framework for training and rehearsal in a postdigital age

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    Community tracking in a cMOOC and nomadic learner behavior identification on a connectivist rhizomatic learning network

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    This article contributes to the literature on connectivism, connectivist MOOCs (cMOOCs) and rhizomatic learning by examining participant interactions, community formation and nomadic learner behavior in a particular cMOOC, #rhizo15, facilitated for 6 weeks by Dave Cormier. It further focuses on what we can learn by observing Twitter interactions particularly. As an explanatory mixed research design, Social Network Analysis and content analysis were employed for the purposes of the research. SNA is used at the macro, meso and micro levels, and content analysis of one week of the MOOC was conducted using the Community of Inquiry framework. The macro level analysis demonstrates that communities in a rhizomatic connectivist networks have chaotic relationships with other communities in different dimensions (clarified by use of hashtags of concurrent, past and future events). A key finding at the meso level was that as #rhizo15 progressed and number of active participants decreased, interaction increased in overall network. The micro level analysis further reveals that, though completely online, the nature of open online ecosystems are very convenient to facilitate the formation of community. The content analysis of week 3 tweets demonstrated that cognitive presence was the most frequently observed, while teaching presence (teaching behaviors of both facilitator and participants) was the lowest. This research recognizes the limitations of looking only at Twitter when #rhizo15 conversations occurred over multiple platforms frequented by overlapping but not identical groups of people. However, it provides a valuable partial perspective at the macro meso and micro levels that contribute to our understanding of community-building in cMOOCs

    Context-Aware Systems for Sequential Item Recommendation

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    Quizlet is the most popular online learning tool in the United States, and is used by over 2/3 of high school students, and 1/2 of college students. With more than 95% of Quizlet users reporting improved grades as a result, the platform has become the de-facto tool used in millions of classrooms. In this paper, we explore the task of recommending suitable content for a student to study, given their prior interests, as well as what their peers are studying. We propose a novel approach, i.e. Neural Educational Recommendation Engine (NERE), to recommend educational content by leveraging student behaviors rather than ratings. We have found that this approach better captures social factors that are more aligned with learning. NERE is based on a recurrent neural network that includes collaborative and content-based approaches for recommendation, and takes into account any particular student's speed, mastery, and experience to recommend the appropriate task. We train NERE by jointly learning the user embeddings and content embeddings, and attempt to predict the content embedding for the final timestamp. We also develop a confidence estimator for our neural network, which is a crucial requirement for productionizing this model. We apply NERE to Quizlet's proprietary dataset, and present our results. We achieved an R^2 score of 0.81 in the content embedding space, and a recall score of 54% on our 100 nearest neighbors. This vastly exceeds the recall@100 score of 12% that a standard matrix-factorization approach provides. We conclude with a discussion on how NERE will be deployed, and position our work as one of the first educational recommender systems for the K-12 space

    A Pedagogy for Original Synners

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    Part of the Volume on Digital Young, Innovation, and the UnexpectedThis essay begins by speculating about the learning environment of the class of 2020. It takes place entirely in a virtual world, populated by simulated avatars, managed through the pedagogy of gaming. Based on this projected version of a future-now-in-formation, the authors consider the implications of the current paradigm shift that is happening at the edges of institutions of higher education. From the development of programs in multimedia literacy to the focus on the creation of hybrid learning spaces (that combine the use of virtual worlds, social networking applications, and classroom activities), the scene of learning as well as the subjects of education are changing. The figure of the Original Synner is a projection of the student-of-the-future whose foundational literacy is grounded in their ability to synthesize information from multiple information streams
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