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Surprise-enhanced and technology-mediated learning: a two-country study

机译:惊喜增强和技术介导的学习:两个国家的研究

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摘要

We develop a theoretical model of surprise-enhanced technology-mediated learning (STL) that builds on evolutionary biological ideas. The model predicts that in technology-mediated learning tasks made up of several discrete learning modules, the presence of a simulated surprise event eliciting negative emotions immediately before a discrete learning module will lead to enhanced learning associated with the module. An experiment involving 617 participants in two countries, USA and Mexico, is used to test the STL model. The participants reviewed six Web-based learning modules about terms used in international trade transactions and then took a test on what they had learned. Data from three experimental conditions were contrasted: two treatment and one control conditions. The two treatment conditions incorporated negative surprises in the form of Web-based screens immediately before Module 4. The surprise screens showed a snake in attack position and a computer malfunction warning, and were absent in the control condition. The participants in both surprise conditions performed significantly better than those in the control condition for Module 4. The learning enhancements were virtually the same regardless of country and type of surprise stimulus (snake attack or computer malfunction screen).
机译:我们建立了基于进化生物学思想的惊喜增强技术介导学习(STL)的理论模型。该模型预测,在由多个离散学习模块组成的技术介导的学习任务中,在离散学习模块即将出现之前,模拟惊喜事件的出现会引起负面情绪,从而导致与该模块相关联的增强学习。 STL模型使用了一个来自美国和墨西哥两个国家的617名参与者的实验。参与者回顾了有关基于国际贸易交易中使用的术语的六个基于Web的学习模块,然后对所学知识进行了测试。对比了三种实验条件下的数据:两种处理条件和一种对照条件。这两种处理条件在模块4之前紧接着以基于Web的屏幕的形式包含了负面的惊喜。这些惊喜屏幕显示出攻击位置有蛇,并且有计算机故障警告,而在控制状态中则没有。两种突击条件下的参与者的表现均明显优于模块4的控制条件。无论国家/地区和突击刺激的类型(蛇攻击或计算机故障屏幕)如何,学习增强作用几乎相同。

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