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Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception

机译:基于误差的模拟作为校正MIF误解的反例的影响

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MIF (Motion Implies a Force) misconception is commonly observed in elementary mechanics learning where students think some force is applied to moving objects. This paper reports a practical use of Error-based Simulation (EBS) for correcting students' MIF misconceptions in a junior high school and a technical college. EBS is a method to generate a phenomenon by using students' erroneous idea (e.g., if a student thinks forward force applied to a skater traveling straight on ice at a constant velocity, EBS shows the skater accelerates). Such a phenomenon is supposed to work as a counterexample to students' misconception. In the practice, students first worked on pre-test of five problems (called 'learning task'), in each of which they drew all the forces applied to objects in a mechanical situation. They then worked on the same problems on system where EBSs were shown based on their answer. They last worked on post-test of the previous plus four new problems (called 'transfer task'). As a result, in both schools, the numbers of MIF-answers (the erroneous answers supposed due to MIF misconception) in learning task decreased significantly between pre-test and post-test. Effect sizes of the decrease of MIF-answers were larger than that of other erroneous answers. Additionally, the percentages of MIF-answers to the whole erroneous answers in transfer task were much lower than those in learning task. These results suggest learning with EBS not only has the effect on the resolution of MIF misconception, but also promoted the correction of errors in conceptual level.
机译:MIF(运动意味着一种力)在基本的力学学习中通常观察到误解,学生认为一些力量适用于移动物体。本文报告了基于误差的仿真(EBS)进行了实际应用,以纠正初中和技术学院的学生MIF误解。 EBS是一种通过使用学生的错误想法产生现象的方法(例如,如果学生认为向前施加到钢板在恒定速度上直接在冰上行驶的溜冰者,EBS显示SPRATER加速)。这种现象应该作为对学生的误解的反例工作。在实践中,学生首先在预先测试五个问题(称为“学习任务”)上,每个人都在机械情况下制定了所有施加到物体的所有力量。然后,他们对基于答案显示EBS的系统的同样问题工作。他们持续在上一加上四个新问题的后测试(称为“传输任务”)。因此,在学习任务中,在两所学校,MIF答案的数量(由于MIF MISCONCEPION由于MIF MISCONCEVION所谓的错误答案)在预测试和后测试之间显着下降。 MIF答案减少的效果大小大于其他错误答案的大小。此外,转移任务中整个错误答案的MIF答案的百分比远低于学习任务的问题。这些结果建议与EBS学习不仅对MIF误解的解决方案产生了影响,而且还促进了概念层面的错误纠正。

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