155,504 research outputs found

    Analyzing collaborative learning processes automatically

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    In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners’ interactions is a time consuming and effortful process. Improving automated analyses of such highly valued processes of collaborative learning by adapting and applying recent text classification technologies would make it a less arduous task to obtain insights from corpus data. This endeavor also holds the potential for enabling substantially improved on-line instruction both by providing teachers and facilitators with reports about the groups they are moderating and by triggering context sensitive collaborative learning support on an as-needed basis. In this article, we report on an interdisciplinary research project, which has been investigating the effectiveness of applying text classification technology to a large CSCL corpus that has been analyzed by human coders using a theory-based multidimensional coding scheme. We report promising results and include an in-depth discussion of important issues such as reliability, validity, and efficiency that should be considered when deciding on the appropriateness of adopting a new technology such as TagHelper tools. One major technical contribution of this work is a demonstration that an important piece of the work towards making text classification technology effective for this purpose is designing and building linguistic pattern detectors, otherwise known as features, that can be extracted reliably from texts and that have high predictive power for the categories of discourse actions that the CSCL community is interested in

    Organizational learning processes in downsizing

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    The purpose of this article is to explore organizational learning processes by examining how companies learn to do something new, namely downsize, on the basis of a small sample of companies in Europe. In a first step, the range of possible responses to downsizing, as discussed in the literature, is presented and compared with the responses described in the interviews. Significant gaps between the options described in the literature and the activities undertaken by the sample companies were found. In a second step, models of organizational learning are presented, specifically focusing on knowledge acquisition, information distribution and interpretation, and compared with the learning processes described by the sample companies. The article suggests that had the companies used a broader range of knowledge acquisition strategies, they might have expanded their range of responses to downsizing. A revision of organizational learning models to include a greater variety of perspectives in a problem definition phase before knowledge acquisition is undertaken is recommended. -- Um erfassen zu können, wie europĂ€ische Firmen lernen, die fĂŒr sie neuen Aufgaben des Downsizing zu planen und durchzufĂŒhren, wurden zunĂ€chst die Erfahrungen in der US-amerikanischen Wirtschaft anhand einer Literaturanalyse und durch SekundĂ€rstudien ausgewĂ€hlter Untersuchungen ausgewertet. Anschließend wurde eine PrimĂ€rerhebung durchgefĂŒhrt. Es wurden ExpertengesprĂ€che in 13 Unternehmen aus unterschiedlichen Branchen in vier westeuropĂ€ischen LĂ€ndern (vorrangig in Deutschland) durchgefĂŒhrt. Die Auswertung der Interviews mit FĂŒhrungskrĂ€ften zeigt, daß in Europa die Erfahrungen der USA bisher so gut wie nicht wahrgenommen worden sind. Dieser Beitrag stellt die Lernstrategien der untersuchten Firmen dar und zeigt die LĂŒcken auf, die sowohl fĂŒr die Praxis wie auch fĂŒr die Theoriebildung im Bereich Organisationslernen entstehen.

    Neuro-flow Dynamics and the Learning Processes

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    A new description of the neural activity is introduced by the neuro-flow dynamics and the extended Hebb rule. The remarkable characteristics of the neuro-flow dynamics, such as the primacy and the recency effect during awakeness or sleep, are pointed out.Comment: 8 pages ,10 Postscript figures, LaTeX file, to appear in Chaos, Solitons and Fractal

    Learning and selection

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    Are learning processes selection processes? This paper takes a slightly modified version of the account of selection presented in Hull et al. (Behav Brain Sci 24:511–527, 2001) and asks whether it applies to learning processes. The answer is that although some learning processes are selectional, many are not. This has consequences for teleological theories of mental content. According to these theories, mental states have content in virtue of having proper functions, and they have proper functions in virtue of being the products of selection processes. For some mental states, it is plausible that the relevant selection process is natural selection, but there are many for which it is not plausible. One response to this (due to David Papineau) is to suggest that the learning processes by which we acquire non-innate mental states are selection processes and can therefore confer proper functions on mental states. This paper considers two ways in which this response could be elaborated, and argues that neither of them succeed: the teleosemanticist cannot rely on the claim that learning processes are selection processes in order to justify the attribution of proper functions to beliefs

    Blending Technologies and Translation Strategies to Optimise Learning Processes

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    Ponencia presentada pendiente de que se pida para publicaciónTrainers should accept the growing dependence of learners, especially in the case of beginners, have on the use of translation tools and all kind of automatic resources to save time and also to easily find terminology. However, translation strategies, culture competence and terminology pose challenges that must be faced with the right skills beside web basic aids. We are conducting research on the use of corpora tools by students and their competences, first by using surveys and, later on, giving then the instructions to elaborate their own parallel or comparable corpus ad hoc to work with translation assignments. This research focus on the elaboration of glossaries in the legal field using corpora tools and the feedback of students’ awareness of the benefits of technologies when they are properly managed from the beginning of their training. Paradoxically, although technologies appear to have a widespread use in training and learning activities, we found that an intensive training is often needed to optimize students’ translation skills by using translation program and resources.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Congestion, equilibrium and learning: The minority game

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    The minority game is a simple congestion game in which the players' main goal is to choose among two options the one that is adopted by the smallest number of players. We characterize the set of Nash equilibria and the limiting behavior of several well-known learning processes in the minority game with an arbitrary odd number of players. Interestingly, different learning processes provide considerably different predictions

    Questioning Knowledge Transfer And Learning Processes Across R&D Project Teams

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    This paper addresses popular notions of the generation and sharing of knowledge in organisations commonly described as knowledge transfer. We question the appropriateness of the notion of transfer of knowledge for increasing our understanding of knowledge creation and learning processes in R&D organisations. We suggest that this notion of "transfer", limits our understanding of the important interactive processes used to generate knowledge and to enhance the spread of knowledge. Findings from interviews with senior research scientists challenge the notion of knowledge transfer and instead provide support for the notion of knowledge as constructed meaning in an arena with multiple players and social interactions
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