Weather, Climate, and Global Change: Linking Models and Data in Science Education

这个项目使用先进的数据收集和模拟技术来帮助学生将模型与数据联系起来。在收集温度数据和建模热流的背景下，学生将从简单的物体，以单一温度为特征，到表现出越来越复杂行为的越来越大的系统。我们将创造一种技术，能够同时收集和分析来自多个空间分离但在其他方面相同的探针的数据。我们还将实现一个建模和仿真工具，学生可以向计算机描述他们的模型，将其作为模拟运行，并将结果与他们收集的实验数据进行比较。我们将与两所学校的七年级和八年级学生合作，一所是城市学校，一所是郊区学校。我们将继续评估知识，思维模式，以及对这些学生的科学态度，因为他们在高中科学课程注册。我们的目标是帮助学生认识到，无论是理论还是实验都不体现科学的终极真理，都可以反复修改以解释异常现象，科学知识的创造最终是由这种相互作用驱动的。

This project uses advanced data collection and simulation technology to help students link models to data. In the context of collecting temperature data and modeling heat flows, students will work their way up from simple objects, characterized by a single temperature, to larger and larger systems that exhibit increasingly complex behaviors. We will create technology that enables the simultaneous collection and analysis of data from multiple, spatially separated but otherwise identical probes. We will also implement a modeling and simulation tool with which students can describe their models to the computer, run them as simulations, and compare the results to the experimental data they have collected. We will work with seventh and eighth grade students at two schools, one urban and one suburban. We will continue to evaluate the knowledge, thought patterns, and attitudes toward science of these students as they enroll in science courses in high school. Our goal is to help students recognize that neither theories nor experiments embody ultimate truth in science, that either may be iteratively revised to account for anomalies, and that the creation of scientific knowledge is ultimately driven by this interplay.