12 research outputs found

    Proporcionar experiencias de aprendizaje ubicuo mediante la combinación de Internet de las Cosas y los estándares de e-Learning

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    [ES]Actualmente, el aprendizaje está teniendo lugar con mayor frecuencia en cualquier lugar y en cualquier momento. Esto implica que los ambientes del aprendizaje electrónico se expandan desde los entornos de aprendizaje solo virtuales a entornos que implican espacios físicos. Gracias a la evolución de Internet, las TIC (Tecnologías de la Información y Comunicación) y a la Internet de las Cosas, se pueden experimentar nuevos escenarios de aprendizaje por parte de los estudiantes, ya sea individualmente o en colaboración. Estos escenarios de aprendizaje ubicuos, permiten compaginar tanto ambientes virtuales como ambientes físicos. Por tanto, estas experiencias se caracterizan por las interacciones posibles del estudiante con el entorno físico, la detección de los datos contextuales, y también la adaptación de las estrategias pedagógicas y de los servicios según el contexto. Este artículo pretende aprovechar esta tendencia y sustentarla en las normas existentes de aprendizaje electrónico como IMS LD y LOM. La solución propuesta es extender los modelos de normas de aprendizaje electrónico como IMS LD y LOM para soportar Internet de las Cosas y para aportar un enfoque de adaptación de las actividades de aprendizaje según el contexto del estudiante y su huella digital utilizando la API eXperience. En este contexto y con el fin de permitir las capacidades de razonamiento y la interoperabilidad entre los modelos propuestos se proponen representaciones ontológicas y una implementación de la solución. Además, se plantea una arquitectura técnica que resalta los componentes de software necesarios y sus interacciones. Y, por último, se implementa y se evalúa un escenario de aprendizaje ubicuo

    Towards a generalised e-learning business process model

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    Modelling learning scenarios is central for e-learning domain. This has been manifested in the proliferation of the different Educational Modelling Languages, as well as in developed e-learning models. However, the existing modelled scenarios are deficient as they lack flexibility and the agility to respond to the dynamic nature of an e-learning process that is suitable to answer learners’ needs. This paper proposes a novel approach to develop a generalised business process model from a set of related business processes sharing the same goals and associated objectives. The proposed approach has been applied in the e-learning domain, which demonstrated its ability to develop a generalised e-learning business process model that is derived from the existing pedagogical models and technology-enhanced learning artefacts. Moreover, the proposed approach has been evaluated to test its effectiveness in generalising a set of business processes, which paves the ground to apply it in different contexts. The generalised e-learning business process model has been modelled using the industrial standard Business Process Modelling Notations (BPMN 2.0) so that processes can be dynamically enacted in service-oriented environments and, at the same time, adapting to answering e-learners’ learning requirements

    Exploring teachers’ needs and the existing barriers to the adoption of Learning Design methods and tools: a literature survey

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    Producción CientíficaLearning Design (LD) is oriented to support teachers in designing their teaching with the aim to provide a sound pedagogical background and to make effective use of resources and technologies. In spite of the significant number of LD approaches and tools proposed so far, their adoption is still very limited and this represents an unsolved challenge in the field of LD. This paper presents a systematic review of the literature about learning design tools, tackling the issue of adoption from two points of view: teachers’ needs in relation to LD tools and methods and possible barriers to their adoption. The review includes only research papers where teachers’ behaviours and opinions are directly explored and not purely theoretical papers. The search included five main academic databases in Technology Enhanced Learning (TEL) plus a search on Google about project reports; the resulting corpus included 423 papers: 26 of these, plus 3 reports were included in the final list for the analysis. The review provides a systematic overview of the knowledge developed in the LD field, focusing on a set of research gaps that need further exploration in the future.Ministerio de Economía, Industria y Competitividad (Projects TIN2014-53199-C3-2-R and TIN2017- 85179-C3-2-R)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA082U16)European Commission (Proyect 588438-EPP-1-2017-1-EL-EPPKA2-KA

    Exploring Teachers Perceptions on Modeling Effort Demanded by CSCL Designs with Explicit Artifact Flow Support

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    Producción CientíficaArtifact flow represents an important aspect of teaching/learning processes, especially in CSCL situations in which complex relationships may be found. However, explicit modeling of CSCL processes with artifact flow may increase the cognitive load and associated effort of the teachers-designers and therefore decrease the efficiency of the design process. The empirical study, reported in this paper and grounded on mixed methods, provides evidence of the effort overload when teachers are involved in designing CSCL situations in a controlled environment. The results of the study illustrate the problem through the subjective perception of the participating teachers, complemented with objective parameters, such as time consumed, errors committed, uncertainty and objective complexity metrics.Ministerio de Economía, Industria y Competitividad (Project Project TIN2014-53199-C3- 2-R)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA277U14)Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA082U16

    The Use of Models in Learning Design and Learning Analytics

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    The practice of Learning Design (LD) and Learning Analytics (LA) is analysed using two lenses. Firstly, it is argued that both LD and LA involve the making of models. All models involve idealisation, i.e. the simplification of something complicated to make it more tractable. Various educational actors generate idealisations of the system they are working in, but only a subset of these idealisations is embodied in LD and LA implementations. Secondly, LD and LA both change the way that the actors in education handle the complexity which they are faced with in their practice. This is analysed in terms of the cybernetic concepts of variety and black boxes. It is then argued that LD and LA implementations share a tendency to shift control to higher levels in the hierarchy, and that this has consequences for the autonomy of teachers and learners, and for the acceptability to users of LD and LA. Finally, some conclusions are offered which can help LD and LA to be implemented while addressing the common problems that have been identified

    Awareness support for learning designers in collaborative authoring for adaptive learning

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    Adaptive learning systems offer students a range of appropriate learning options based on the learners’ characteristics. It is, therefore, necessary for such systems to maintain a hyperspace and knowledge space that consists of a large volume of domain and pedagogical knowledge, learner information, and adaptation rules. As a consequence, for a solitary teacher, developing learning resources would be time consuming and requires the teacher to be an expert of many topics. In this research, the problems of authoring adaptive learning resources are classified into issues concerning interoperability, efficiency, and collaboration.This research particularly addresses the question of how teachers can collaborate in authoring adaptive learning resources and be aware of what has happened in the authoring process. In order to experiment with collaboration, it was necessary to design a collaborative authoring environment for adaptive learning. This was achieved by extending an open sourced authoring tool of IMS Learning Design (IMS LD), ReCourse, to be a prototype of Collaborative ReCourse that includes the workspace awareness information features: Notes and History. It is designed as a tool for asynchronous collaboration for small groups of learning designers. IMS LD supports interoperability and adaptation. Two experiments were conducted. The first experiment was a workspace awareness study in which participants took part in an artificial collaborative scenario. They were divided into 2 groups; one group worked with ReCourse, the other with Collaborative ReCourse. The results provide evidence regarding the advantages of Notes and History for enhancing workspace awareness in collaborative authoring of learning designs.The second study tested the system more thoroughly as the participants had to work toward real goals over a much longer time frame. They were divided into four groups; two groups worked with ReCourse, while the others worked with Collaborative ReCourse. The experiment result showed that authoring of learning designs can be approached with a Process Structure method with implicit coordination and without role assignment. It also provides evidence that collaboration is possible for authoring IMS LD Level A for non-adapting and Level B for adapting materials. Notes and History assist in producing good quality output.This research has several contributions. From the literature study, it presents a comparison analysis of existing authoring tools, as well as learning standards. Furthermore, it presents a collaborative authoring approach for creating learning designs and describes the granularity level on which collaborative authoring for learning designs can be carried out. Finally, experiments using this approach show the advantages of having Notes and History for enhancing workspace awareness that and how they benefit the quality of learning designs

    The Conceptual Structure of IMS Learning Design does not Impede its Use for Authoring

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    The Conceptual Structure of IMS Learning Design Does Not Impede Its Use for Authoring

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