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Leveraging College Students' Scientific Evidence-Based Reasoning Performance with Eye-Tracking-Supported Metacognition

机译:借助眼动追踪支持的元认知,利用大学生基于科学证据的推理表现

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This study specifically focuses on examining whether the eye-tracking-supported metacognition would benefit science majors' and nonscience majors' scientific evidence-based reasoning performance. Thirty-nine science majors and forty-one nonscience majors were recruited to participate in an online scientific evidence-based reasoning task. Data regarding the students' online learning process and eye movement behaviors were simultaneously collected. The results indicated that the science majors not only significantly outperformed the nonscience majors in terms of reasoning performance but also allocated significantly greater eye movements during their first time of processing scientific evidence-based reasoning task. Immediately after the task, the eye-tracking-supported metacognition provided each student with individualized feedback regarding their eye movement behaviors, such as their eye fixation sequence, durations, and locations. With such immediate feedback, the students were provided an opportunity to engage in self-monitoring, evaluating, and calibrating their approaches in order to revise their final answers. After the application of this eye-tracking-supported metacognition, both the science majors and the nonscience majors all made significant improvements in their scientific evidence-based reasoning performance. However, no statistically significant differences in the reasoning performance or visual attention of the science majors and nonscience majors were found. This study demonstrated that the use of eye-tracking-supported metacognition was not only able to maximize the performance of both the science majors and nonscience majors but that it also bridged the gap in performance between the two groups.
机译:这项研究特别着重于研究眼动追踪支持的元认知是否会有益于科学专业和非科学专业的基于科学证据的推理表现。招募了39个科学专业和41个非科学专业来参加基于在线科学证据的推理任务。同时收集有关学生的在线学习过程和眼睛运动行为的数据。结果表明,科学专业的学生不仅在推理性能方面明显优于非科学专业,而且在他们第一次处理基于科学证据的推理任务时,其眼球运动分配明显更大。任务结束后,眼动追踪支持的元认知立即为每位学生提供有关其眼动行为的个性化反馈,如眼动顺序,持续时间和位置。有了这样的即时反馈,为学生提供了进行自我监测,评估和校准方法的机会,以修改最终答案。应用了这种支持眼动追踪的元认知之后,科学专业和非科学专业的学生都在基于科学证据的推理性能上都取得了重大进步。但是,在科学专业和非科学专业的推理表现或视觉注意力方面,没有发现统计学上的显着差异。这项研究表明,使用眼动追踪支持的元认知不仅能够最大程度地提高理科专业和非理科专业的表现,而且还弥合了两组之间的表现差距。

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