3 resultados para Online Collaborative Learning


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While the right of parents to educate their children in their religious or philosophical conviction is recognised in Human Rights instruments (e.g. CoE 1952, protocol 1), educators must also attend to the right of a child to autonomy (UN 1989, Article 12.1) and the right of liberal democratic states to reproduce values of equity and freedom. This paper argues that certain forms of inter-religious dialogue and/or inter-religious collaborative learning can assist educators in balancing these rights where religion has significant influence and power over the management of schools and/or the curriculum. It is argued that in addition to the learning benefits which may result, the use of collaboration and dialogue goes some way in addressing three philosophical criticisms of religious education: first that religiously separate and religiously based education pays insufficient attention to the rights of children and, secondly, is likely to contribute to social fragmentation; and third, pupils will lack the skills to overcome prejudice or intolerance where they have no experience of others as a result of separate schooling or from a religiously narrow curriculum, and the latter may in fact support intolerant views. A rationale is developed that asserts the value of collaboration or dialogue as a pedagogical strategy that can, to some degree, mitigate potential negative outcomes from religious education. This argument is further supported with reference to a range of empirical studies.

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In a team of multiple agents, the pursuance of a common goal is a defining characteristic. Since agents may have different capabilities, and effects of actions may be uncertain, a common goal can generally only be achieved through a careful cooperation between the different agents. In this work, we propose a novel two-stage planner that combines online planning at both team level and individual level through a subgoal delegation scheme. The proposal brings the advantages of online planning approaches to the multi-agent setting. A number of modifications are made to a classical UCT approximate algorithm to (i) adapt it to the application domains considered, (ii) reduce the branching factor in the underlying search process, and (iii) effectively manage uncertain information of action effects by using information fusion mechanisms. The proposed online multi-agent planner reduces the cost of planning and decreases the temporal cost of reaching a goal, while significantly increasing the chance of success of achieving the common goal. 

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Planning is an essential process in teams of multiple agents pursuing a common goal. When the effects of actions undertaken by agents are uncertain, evaluating the potential risk of such actions alongside their utility might lead to more rational decisions upon planning. This challenge has been recently tackled for single agent settings, yet domains with multiple agents that present diverse viewpoints towards risk still necessitate comprehensive decision making mechanisms that balance the utility and risk of actions. In this work, we propose a novel collaborative multi-agent planning framework that integrates (i) a team-level online planner under uncertainty that extends the classical UCT approximate algorithm, and (ii) a preference modeling and multicriteria group decision making approach that allows agents to find accepted and rational solutions for planning problems, predicated on the attitude each agent adopts towards risk. When utilised in risk-pervaded scenarios, the proposed framework can reduce the cost of reaching the common goal sought and increase effectiveness, before making collective decisions by appropriately balancing risk and utility of actions.