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Adapting the Collaborative Strategy 'Students Team Achievement Divisions' in an Information Technology Work Place

机译:在信息技术工作场所适应合作策略“学生团队成就部门”

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This paper presents an innovative description and an initial implementation of the "Students Team Achievement Divisions (STAD)" collaboration method (Slavin, 1978), in the form of an online adaptive collaborative design-pattern that has been constructed taking into account adaptation techniques, within the context of an open-source learning design-based environments such as the LAMS system (Dalziel, 2003). This method is described with special reference to the learning of essential aspects of an Information System. The innovative description of the aforementioned collaborative method within the LAMS system is based on the fact that: (a) the tasks assigned to the groups consist of investigation of real world scenarios, and not merely the study of learning material as is usually proposed, (b) adaptive techniques are integrated with the method and (c) for the design of the collaborative learning activity, an intuitive learning design tool such as the LAMS system is used. A research study was also conducted aiming the development of an empirical model to allow the implementation of the aforementioned adaptive STAD collaborative method within the context of an IT work place, namely; the Legal Council of the Hellenic State. In fact, the data gathered from this study were used to build the initial learning profile of the user -that is needed for the implementation of Phase 2 of the previously mentioned adaptive STAD collaborative method- so that to be able to provide him/her personalized training, monitoring, scaffolding and evaluation.
机译:本文以在线自适应协作设计模式的形式介绍了“学生团队成就分部(STAD)”协作方法(Slavin,1978年)的创新描述和初步实现,该模式已考虑了适应技术,在基于开放源代码学习设计的环境(例如LAMS系统)中(Dalziel,2003年)。特别参考学习信息系统的基本方面来描述此方法。 LAMS系统中上述协作方法的创新描述基于以下事实:(a)分配给各小组的任务包括对现实世界场景的调查,而不仅仅是通常建议的学习材料的研究,( b)自适应技术与该方法集成在一起;(c)用于协作学习活动的设计,使用了直观的学习设计工具,例如LAMS系统。还进行了旨在开发经验模型的研究,以允许在IT工作场所的范围内实施上述自适应STAD协作方法。希腊国家法律委员会。实际上,从这项研究中收集的数据被用于构建用户的初始学习配置文件-这是实施前面提到的自适应STAD协作方法的第二阶段所必需的-以便能够为他/她提供个性化培训,监测,脚手架和评估。

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