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INTERACTION DESIGNING INTERFACE FOR SMART LEARNING BEHAVIOR IN DISRUPTIVE ENVIRONMENTS

机译:扰动环境下智能学习行为的交互设计界面

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Smart Learning Environments (SLEs) are designed by integrating Usability design principles, aesthetics and functionalities, however, contextual constituents supporting Smart Learning Behavior (SLB) are rarely considered. Particularly, how Peer-Assisted Learning (PAL) is effective when compared with Faculty-Assisted Learning (FAL) in a VoIP based Disruptive Learning Environment (DLE). Studies report that learners focus on superficial features instead of the underlying principles, concepts, or theories in design-centric SLEs. Likewise, learners acquire individual skills or pieces of knowledge in SLEs that they are unable to apply in user-centric complex contexts. In this paper, a framework is evolved to address the design and development considerations of SLEs with a focus to empirically validate the effectiveness of PAL in comparison with FAL. The study is a Quasi-experimental design with manipulative and controlled non-repeated groups. Disruptive contextual factors (DCF) are believed to be ingredients of SLB and are cross-examined using Univariate-Analysis, Cohen's D, Partial Eta squared values and Standardized Beta Coefficients. The experimental data was analyzed in PASW 2.0. This study empirically validates the effectiveness of DCF and concludes SLB is better supported through PAL than FAL in a SLE. The study findings support institutions of higher learning in the process of transition and transforming old models of university education into SLEs. While HCI researchers may benefit in defining cognitive thought processes behind PAL that support SLB in DLE.
机译:智能学习环境(SLE)是通过集成可用性设计原则,美学和功能来设计的,但是,很少考虑支持智能学习行为(SLB)的上下文要素。特别是,与基于VoIP的破坏性学习环境(DLE)中的教师辅助学习(FAL)相比,对等辅助学习(PAL)的效果如何。研究报告说,学习者将重点放在表面特征上,而不是以设计为中心的SLE中的基本原理,概念或理论。同样,学习者会在SLE中获得无法应用在以用户为中心的复杂环境中的个人技能或知识。在本文中,我们开发了一个框架来解决SLE的设计和开发考虑,重点是从经验上验证PAL与FAL相比的有效性。该研究是拟实验性设计,具有可操纵和受控的非重复组。破坏性情境因素(DCF)被认为是SLB的成分,并使用单变量分析,Cohen的D,偏Eta平方值和标准化的Beta系数进行交叉检查。在PASW 2.0中分析了实验数据。这项研究从经验上验证了DCF的有效性,并得出结论:在SLE中,通过PAL比使用FAL更好地支持SLB。研究结果在过渡和将旧的大学教育模式转化为SLE的过程中为高等院校提供了支持。虽然HCI研究人员可能会在定义支持DLE中SLB的PAL背后的认知思维过程中受益。

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