Perceptual Learning in Mathematics and Science: Structure Discovery, Fluency, and Integration

知觉学习被定义为经验诱导的信息提取方式的变化，这些研究人员打算研究知觉学习是如何发生的，以及它是否对数学和科学学习有影响。这是学习者区分相关结构和不相关结构的过程。研究方法包括影响知觉学习的条件、结构发现的影响以及学习过程的结构映射变体对迁移的影响的实验研究。实验将采用客观的方法来衡量学习的速度、准确性和对新问题的转移。他们将测试和应用新的学习技术，如自动排序算法，该算法利用学习者的速度和准确性来评估学习并对事件进行排序，以达到最佳效率。评审团指出，一项可能阐明感知学习的调查可能有助于补充甚至挑战主流的建构主义学习理论。这种学习思维方式可能是数学和科学学习的重要发现。

Perceptual learning is defined as experience-induced changes in the way information is extracted by these researchers who intend to investigate how perceptual learning occurs and whether it has implications for mathematics and science learning. It is the process by which learners differentiate relevant structure from irrelevant variation. The methods of research involve experimental investigations of conditions affecting perceptual learning, effects of structure discovery, and structure mapping variants of learning procedures on transfer. Experiments will employ objective measures of learning such as speed, accuracy, and transfer to novel problems. They will test and apply new learning technology such as automated sequencing algorithms that use a learner's speed and accuracy to assess learning and to sequence events for optimal efficiency. The panel reviewers noted that an investigation that might clarify perceptual learning might help supplement or even challenge prevailing constructivist theories of learning. This way of thinking about learning could be an important discovery for mathematics and science learning.