81,380 research outputs found

    Peer assessment and knowledge discovering in a community of learners

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    Thanks to the exponential growth of the Internet, Distance Education is becoming more and more strategic in many fields of daily life. Its main advantage is that students can learn through appropriate web platforms that allow them to take advantage of multimedia and interactive teaching materials, without constraints neither of time nor of space. Today, in fact, the Internet offers many platforms suitable for this purpose, such as Moodle, ATutor and others. Coursera is another example of a platform that offers different courses to thousands of enrolled students. This approach to learning is, however, posing new problems such as that of the assessment of the learning status of the learner in the case where there were thousands of students following a course, as is in Massive On-line Courses (MOOC). The Peer Assessment can therefore be a solution to this problem: evaluation takes place between peers, creating a dynamic in the community of learners that evolves autonomously. In this article, we present a first step towards this direction through a peer assessment mechanism led by the teacher who intervenes by evaluating a very small part of the students. Through a mechanism based on machine learning, and in particular on a modified form of K-NN, given the teacher’s grades, the system should converge towards an evaluation that is as similar as possible to the one that the teacher would have given. An experiment is presented with encouraging results

    Toward a Quantitative Analysis of Online Communities

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    In flexible learning environments there has been an increased focus on developing resources that promote and facilitate the emergence of online communities. The formation of, and active participation in, a learning community has been suggested to facilitate the learning process (Rovai, 2002; Palloff & Pratt, 1999). Current literature examining the formation and development of online communities has predominantly centred on the qualitative analysis of posted messages (within an asynchronous discussion forum) as evidence for community attainment and sustainment (Brook & Oliver, 2003; Hew & Cheung, 2003). The search for key words and phrases is conducted regardless of timing and position within the threaded discussion. Hence, analysis of the postings often occurs in a manner that de-contextualises the discourse throughout the delivery of a subject (Misanchuk & Dueber, 2001). Furthermore, as analysis is limited to a few disparate units of study, an overall picture of the extent to which the online communities formed in individual units are supporting the strategic goals of the university is not formed. Investment in online technologies and development of learning and teaching strategies is conducted at an enterprise level. However, current methodologies evaluating the development and sustainment of online communities have been focussed at a localised level. This paper proposes a scaleable quantitative approach to identify the degree of learner interactions occurring in specific subject-based forums for further qualitative analysis. It is proposed that the examination of data derived from the wider University context better positions and informs staff undertaking subject-based forums in order to align with University strategic goals

    ¿Pueden los MOOC cerrar la brecha de oportunidades?: La contribución del diseño pedagógico social inclusivo

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    Massive Open Online Courses (MOOCs) are open courses made available online at no cost to the user and designed to scale up, allowing for a large number of participants. As such, they are a disruptive new development which has the potential to widen access to higher education since they contribute to social inclusion, the dissemination of knowledge and pedagogical innovation. However, assuring quality learning opportunities to all cannot be simply reduced to allowing free access to higher education. On the contrary, it implies assuring equitable opportunities for every participant to succeed in their learning experience. This goal depends on the quality of the learning design. To be successful, a massive open online learning experience has to empower learners and to facilitate a networked learning environment. In fact, MOOCs are designed to serve a high heterogeneity of profiles, with many differences regarding learning needs and preferences, prior knowledge, contexts of participation and diversity of online platforms. Personalization can play a key role in this process. In this article, the authors describe the iMOOC pedagogical model and its later derivative, the sMOOC model, and explain how they contributed to the introduction of the principles of diversity and learner equity to MOOC design, allowing for a clear differentiation of learning paths and also of virtual environments, while empowering participants to succeed in their learning experiences. Using a design-based research approach, a comparative analysis of two course iterations each representing each model is also presented and discussed.Los cursos en línea abiertos y masivos (MOOC) son cursos abiertos disponibles en línea sin costo para el usuario y diseñados para ampliarse, permitiendo un gran número de participantes. Como tales, son un nuevo desarrollo disruptivo que tiene el potencial de ampliar el acceso a la educación superior, ya que contribuyen a la inclusión social, la difusión del conocimiento y la innovación pedagógica. Sin embargo, garantizar oportunidades de aprendizaje de calidad para todos no puede reducirse simplemente a permitir el acceso gratuito a la educación superior. Por el contrario, implica asegurar oportunidades equitativas para que cada participante tenga éxito en su experiencia de aprendizaje. Este objetivo depende de la calidad del diseño de aprendizaje. Para tener éxito, una experiencia de aprendizaje en línea abierta y masiva debe empoderar a los alumnos y facilitar un entorno de aprendizaje en red. De hecho, los MOOC están diseñados para servir a una gran heterogeneidad de perfiles, con muchas diferencias con respecto a las necesidades y preferencias de aprendizaje, conocimiento previo, contextos de participación y diversidad de plataformas en línea. La personalización puede jugar un papel clave en este proceso. En este artículo, los autores describen el modelo pedagógico iMOOC y su derivada posterior, el modelo sMOOC, y explican cómo contribuyeron a la introducción de los principios de diversidad y equidad en el diseño MOOC, lo que permite una clara diferenciación de las rutas de aprendizaje y también de entornos virtuales, al tiempo que permite a los participantes tener éxito en sus experiencias de aprendizaje. Usando un enfoque de design-based research, también se presenta y discute un análisis comparativo de dos iteraciones del curso, cada una representando cada modelo

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

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