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Benefits of adding anxiety-reducing features to a computer-based multimedia lesson on statistics

机译:在基于计算机的统计学统计课中增加减少焦虑的功能的好处

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The present study examined the effectiveness of techniques intended to reduce anxiety as students learn mathematical content from a computer-based lesson. In a between-subjects experiment, students learned statistical rules through worked examples in a computer-based learning environment that either did (treatment group) or did not (control group) include anxiety reducing features a coping message delivered through the lesson by an online pedagogical agent concerning how to manage feelings of anxiety, and prompts for expressive writing, in which students summarize their thoughts and feelings. An independent samples t-test showed that the treatment group, which received added anxiety reducing features, showed higher accuracy than the control group on solving practice problems (d = 0.71) and retention problems (d = 0.63) and reported higher perceived effort on learning the multimedia lesson (d = 0.66). In addition, a standard multiple linear regression found that anxiety, self efficacy, and cognitive load as a set predicted performance (R-2 = 0.56), with self-efficacy as the strongest predictor (beta = 0.63). Adding anxiety-reducing features to an online lesson may encourage greater effort, which leads to better learning outcomes. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本研究检验了旨在减少焦虑的技术的有效性,因为学生可以从基于计算机的课程中学习数学内容。在受试者之间的实验中,学生通过在计算机学习环境中的工作示例中学习了统计规则,该计算机学习环境中(治疗组)或不包括(减轻焦虑)特征包括减轻焦虑的功能,在线教学法在课程中传达的应对信息关于如何处理焦虑感的中介,以及表达写作的提示,学生可以在其中总结自己的想法和感受。一个独立的样本t检验显示,具有增加的减轻焦虑能力的治疗组在解决实践问题(d = 0.71)和retention留问题(d = 0.63)方面显示出比对照组更高的准确性,并且他们在学习中的感知力更高多媒体课程(d = 0.66)。此外,标准多元线性回归发现焦虑,自我效能和认知负荷是一组预测的表现(R-2 = 0.56),而自我效能是最强的预测因子(β= 0.63)。在在线课程中添加减少焦虑的功能可能会鼓励您付出更多的努力,从而获得更好的学习效果。 (C)2016 Elsevier Ltd.保留所有权利。

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