785 resultados para learning analytics framework


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The Framework for Junior Cycle (The Framework) was published in October 2012. It is based on the National Council for Curriculum and Assessment’s advice to the Department as set out in Towards a Framework for Junior Cycle (November 2011) and on research into education for our young people aged 12 to 15 / 16 years. The Framework document can be downloaded from www.education.ie and www.ncca. The mission of the Department of Education and Skills (DES) is “to enable learners to achieve their full potential and contribute to Ireland’s economic, social and cultural development”. By placing students at the centre of the educational experience, the DES wants to ensure that junior cycle education will improve learning experiences and outcomes. The implementation of the Framework for Junior Cycle will enable post-primary schools to provide a quality, inclusive and relevant education with improved learning outcomes for all students, including those with special educational needs

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This document, the Framework for Junior Cycle (2015), outlines the key educational changes that the Department of Education and Skills (DES) is putting in place for young people in the first three years of their post-primary education. It builds on and advances the vision for junior cycle reform that was outlined in the Framework for Junior Cycle (2012). The Framework for Junior Cycle (2015) incorporates a shared understanding of how teaching, learning and assessment practices should evolve to support the delivery of a quality, inclusive and relevant education that will meet the needs of junior cycle students, both now and in the future. This shared understanding is informed by engagement with stakeholders and by national and international research.

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This is Ireland’s first White Paper on Adult Education and marks the adoption of lifelong learning as the governing principle of educational policy. The Paper reflects on the role of adult education in society, builds on the consultation process following publication of the Green Paper, and sets out the Government’s policies and priorities for the future development of the sector. It does not aim to provide a policy blueprint for the training sector given that this work is being advanced through the National Employment Action Plans and previous publications, and the work of the Task Force on Lifelong Learning recently established by the Department of Enterprise, Trade and Employment. Rather, it seeks to ensure that there is a fit and complementarity between education and training provision, so as to ensure that learners can move progressively and incrementally within an over-arching co-ordinated and learner-centred framework.

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El estudio tiene como objetivo la construcción de una definición actual e integradora del concepto de e-learning, que sea aceptada por la mayor parte de la comunidad científica y que sirva como referente por los estudiosos y profesionales de esta temática.

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L'estudi té com a objectiu la construcció d'una definició actual i integradora del concepte d'e-learning, que sigui acceptada per la major part de la comunitat científica i que serveixi com a referent pels estudiosos i professionals d'aquesta temàtica.

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This paper shows how instructors can use the problem‐based learning method to introduce producer theory and market structure in intermediate microeconomics courses. The paper proposes a framework where different decision problems are presented to students, who are asked to imagine that they are the managers of a firm who need to solve a problem in a particular business setting. In this setting, the instructors’ role isto provide both guidance to facilitate student learning and content knowledge on a just‐in‐time basis

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In This work we present a Web-based tool developed with the aim of reinforcing teaching and learning of introductory programming courses. This tool provides support for teaching and learning. From the teacher's perspective the system introduces important gains with respect to the classical teaching methodology. It reinforces lecture and laboratory sessions, makes it possible to give personalized attention to the student, assesses the degree of participation of the students and most importantly, performs a continuous assessment of the student's progress. From the student's perspective it provides a learning framework, consisting in a help environment and a correction environment, which facilitates their personal work. With this tool students are more motivated to do programming

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The EVS4CSCL project starts in the context of a Computer Supported Collaborative Learning environment (CSCL). Previous UOC projects created a CSCL generic platform (CLPL) to facilitate the development of CSCL applications. A discussion forum (DF) was the first application developed over the framework. This discussion forum was different from other products on the marketplace because of its focus on the learning process. The DF carried out the specification and elaboration phases from the discussion learning process but there was a lack in the consensus phase. The consensus phase in a learning environment is not something to be achieved but tested. Common tests are done by Electronic Voting System (EVS) tools, but consensus test is not an assessment test. We are not evaluating our students by their answers but by their discussion activity. Our educational EVS would be used as a discussion catalyst proposing a discussion about the results after an initial query or it would be used after a discussion period in order to manifest how the discussion changed the students mind (consensus). It should be also used by the teacher as a quick way to know where the student needs some reinforcement. That is important in a distance-learning environment where there is no direct contact between the teacher and the student and it is difficult to detect the learning lacks. In an educational environment, assessment it is a must and the EVS will provide direct assessment by peer usefulness evaluation, teacher marks on every query created and indirect assessment from statistics regarding the user activity.

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This paper investigates the role of learning by private agents and the central bank (two-sided learning) in a New Keynesian framework in which both sides of the economy have asymmetric and imperfect knowledge about the true data generating process. We assume that all agents employ the data that they observe (which may be distinct for different sets of agents) to form beliefs about unknown aspects of the true model of the economy, use their beliefs to decide on actions, and revise these beliefs through a statistical learning algorithm as new information becomes available. We study the short-run dynamics of our model and derive its policy recommendations, particularly with respect to central bank communications. We demonstrate that two-sided learning can generate substantial increases in volatility and persistence, and alter the behavior of the variables in the model in a signifficant way. Our simulations do not converge to a symmetric rational expectations equilibrium and we highlight one source that invalidates the convergence results of Marcet and Sargent (1989). Finally, we identify a novel aspect of central bank communication in models of learning: communication can be harmful if the central bank's model is substantially mis-specified

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Aquest fitxer conté la ontologia que descriu un metamodel de l'especificació Open Service Interface Design v.2.0 proposada per OKI. Ha estat creada en OWL i estesa amb un conjunt de regles SWRL. S'adjunta també el conjunt de regles.

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This file includes the ontology of patterns of educational settings adapted to a given organization as part of a formal framework for specifying, reusing and implementing educational settings. It includes a description of such an ontology.

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This work shows the use of adaptation techniques involved in an e-learning system that considers students' learning styles and students' knowledge states. The mentioned e-learning system is built on a multiagent framework designed to examine opportunities to improve the teaching and to motivate the students to learn what they want in a user-friendly and assisted environment

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Peer-reviewed

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Dialogic learning and interactive groups have proved to be a useful methodological approach appliedin educational situations for lifelong adult learners. The principles of this approach stress theimportance of dialogue and equal participation also when designing the training activities. This paperadopts these principles as the basis for a configurable template that can be integrated in runtimesystems. The template is formulated as a meta-UoL which can be interpreted by IMS Learning Designplayers. This template serves as a guide to flexibly select and edit the activities at runtime (on the fly).The meta-UoL has been used successfully by a practitioner so as to create a real-life example, withpositive and encouraging results

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This paper investigates the role of learning by private agents and the central bank(two-sided learning) in a New Keynesian framework in which both sides of the economyhave asymmetric and imperfect knowledge about the true data generating process. Weassume that all agents employ the data that they observe (which may be distinct fordifferent sets of agents) to form beliefs about unknown aspects of the true model ofthe economy, use their beliefs to decide on actions, and revise these beliefs througha statistical learning algorithm as new information becomes available. We study theshort-run dynamics of our model and derive its policy recommendations, particularlywith respect to central bank communications. We demonstrate that two-sided learningcan generate substantial increases in volatility and persistence, and alter the behaviorof the variables in the model in a significant way. Our simulations do not convergeto a symmetric rational expectations equilibrium and we highlight one source thatinvalidates the convergence results of Marcet and Sargent (1989). Finally, we identifya novel aspect of central bank communication in models of learning: communicationcan be harmful if the central bank's model is substantially mis-specified.