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Teaching Informal Logical Fallacy Identification with a Cognitive Tutor

机译:用认知导师教授非正式逻辑谬误识别

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In this age of fake news and alternative facts, the need for a citizenry capable of critical thinking has never been greater. While teaching critical thinking skills in the classroom remains an enduring challenge, research on an ill-defined domain like critical thinking in the educational technology space is even more scarce. We propose a difficulty factors assessment (DFA) to explore two factors that may make learning to identify fallacies more difficult: type of instruction and belief bias. This study will allow us to make two key contributions. First, we will better understand the relationship between sense-making and induction when learning to identify informal fallacies. Second, we will contribute to the limited work examining the impact of belief bias on informal (rather than formal) reasoning. The results of this DFA will also be used to improve the next iteration of our fallacy tutor, which may ultimately contribute to a computational model of informal fallacies.
机译:在这个假新闻和替代事实的这个时代,需要一个能够批判性思维的公民的需求从未如此。虽然在教室教授批判性思维技能仍然是一个持久的挑战,但对教育技术空间中批判性思维的危险域名的研究更加稀缺。我们提出了难以评估的因素(DFA)来探讨可能使学习识别谬误更加困难的两个因素:教学类型和信仰偏见。本研究将使我们能够进行两个主要贡献。首先,在学习识别非正式谬误时,我们将更好地了解感觉和感应之间的关系。其次,我们将促进有限的工作,检查信仰偏见对非正式(而不是正式)推理的影响。该DFA的结果也将用于改善我们亵渎导师的下一次迭代,最终可能导致非正式谬误的计算模型。

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