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Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?

机译:从错误的例子中学习的信心:提示自我解释的类型会有所作为吗?

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Confrustion, a mix of confusion and frustration sometimes experienced while grappling with instructional materials, is not necessarily detrimental to learning. Prior research has shown that studying erroneous examples can increase students' experiences of confrustion, while at the same time helping them learn and overcome their misconceptions. In the study reported in this paper, we examined students' knowledge and misconceptions about decimal numbers before and after they interacted with an intelligent tutoring system presenting either erroneous examples targeting misconceptions (erroneous example condition) or practice problems targeting the same misconceptions (problem-solving condition). While students in both conditions significantly improved their performance from pretest to posttest, students in the problem-solving condition improved significantly more and experienced significantly less confrustion. When controlling for confrustion levels, there were no differences in performance. This study is interesting in that, unlike prior studies, the higher confrustion that resulted from studying erroneous examples was not associated with better learning outcomes; instead, it was associated with poorer learning. We propose several possible explanations for this different outcome and hypothesize that revisions to the explanation prompts to make them more expert-like may have also made them - and the erroneous examples that they targeted - less understandable and less effective. Whether prompted self-explanation options should be modeled after the shorter, less precise language students tend to use or the longer, more precise language of experts is an open question, and an important one both for understanding the mechanisms of self-explanation and for designing self-explanation options deployed in instructional materials.
机译:充满困惑和挫折感的糊涂有时在与教学材料争执时会经历,不一定对学习有害。先前的研究表明,研究错误的例子可以增加学生的自信心,同时帮助他们学习和克服误解。在本文报告的研究中,我们检查了学生与智能辅导系统进行交互之前和之后对十进制数的知识和误解,呈现出针对误解的错误示例(错误的示例条件)或针对相同误解的实践问题(解决问题的方法)健康)状况)。在这两种情况下的学生从测试前到后测都显着提高了他们的表现,而在解决问题条件下的学生则进步了很多,对自己的信心也大大减少了。在控制混乱程度时,性能没有差异。这项研究的有趣之处在于,与先前的研究不同,研究错误的例子导致的更高的信心与更好的学习成果无关;相反,它与学习能力差有关。我们针对这种不同的结果提出了几种可能的解释,并假设对解释提示的修订使它们变得更像专家,这也可能使它们(以及它们所针对的错误示例)变得难以理解且效率较低。是否应该根据学生倾向于使用较短,较不精确的语言,还是应该使用较长,较精确的专家语言来模拟提示的自我解释选项,这是一个悬而未决的问题,对于理解自我解释的机制和进行设计而言,这都是一个重要的问题。在说明材料中部署了自我解释选项。

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