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An Orientation towards Social Interaction: Implications for Active Support

机译:对社会互动的方向:积极支持的影响

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Collaborative technologies mediate participants' communicative interactions. Because interaction data is stored, it can be used for further analysis. This implies that collaborative technologies can be extended with models that analyse interaction data and provide participants with 'on the spot' information about their performance. These models are based on some formal analysis that aggregates interaction data into meaningful information. However, we state that such a model should not solely focus on the interaction between learners, but that a broader understanding of learner-technology interaction is a prerequisite for development of 'active' support. Moreover, research findings indicate that interaction rules are not stable, but arise and evolve during interaction. The active system should be able to transform data to useful information, and moreover, it has to deal with changes in the way that rules and resources govern users' actions and interactions. This paper presents an exploratory orientation towards learner-technology interaction from a social-conceptual perspective, and discusses some implications for active support.
机译:协作技术调解参与者的交际互动。由于存储交互数据,因此可以用于进一步分析。这意味着可以将协作技术与分析交互数据的模型扩展,并为参与者提供“现场”信息的信息。这些模型基于一些正式分析,将交互数据汇总为有意义的信息。然而,我们说,这种模型不仅仅关注学习者之间的互动,而是更广泛地了解学习者 - 技术互动是发展“积极”支持的先决条件。此外,研究结果表明,相互作用规则不稳定,但在互动期间出现和发展。活动系统应该能够将数据转换为有用的信息,而且,它必须处理规则和资源管理用户的操作和交互方式的变化。本文介绍了社会概念视角的学习者技术互动的探索性取向,探讨了积极支持的一些影响。

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