I-Corps L: A Cyberlearning System for Environmental Monitoring Education

I-Corps L项目将研究环境监测模块的潜力，这些模块来自9-12年级学生的一个小城市分水岭的高频水和天气数据。学习增强型流域评估系统是一个实时、高频率(1-3分钟)的系统。水和天气监测系统及其网络学习系统被称为在线流域学习系统(OWLS)。截至2016年初，基于LEWAS/OWLS的学习模块已被用于至少17个不同的本科大学工程、科学和工业设计课程，三个国家的四所大学的一门水文学研究生课程，以及弗吉尼亚州两所社区学院(弗吉尼亚西部学院和约翰·泰勒学院)的四门一年级工程课程。LEWAS/OWLS还被用于：一门高中课程、由NSF支持的Chautauqua职业发展短期课程系列，以及弗吉尼亚理工大学校园向公众提供的交互式触摸屏显示器。I-Corps L项目建立在以前成功的国家科学基金会赠款的基础上，在这些资助中，调查人员已经成功地将基于LEWA/OWLS的学习模块实施到各种课程中。本研究运用情境学习的理论框架，研究表明，在混合式教学中使用OWLS作为远程实验室，可以增加学生对环境监测概念的学习和动机。该团队建议调查潜在客户是否有兴趣将基于LEWAS/OWLS的模块纳入9-12年级的教学。我们的期望是，将通过计算理解、评估、创建和管理环境(水质、数量和天气)数据的这些模块结合在一起，将导致广泛采用网络学习方法，以培养9-12年级学生在环境监测和计算思维方面的技能。

This I-Corps L project will examine the potential of environmental monitoring modules informed by high frequency water and weather data from a small urban watershed for 9-12th-grade students. The Learning Enhanced Watershed Assessment System (LEWAS) is a real-time, high frequency (1-3 min.) water and weather monitoring system and its cyberlearning system is called the Online Watershed Learning System (OWLS). Through early 2016, the LEWAS/OWLS-based learning modules have been used in at least 17 different undergraduate university courses in engineering, sciences and industrial design, one graduate hydrology course across four universities in three countries and four first-year engineering courses across two community colleges (Virginia Western and John Tyler) in Virginia. The LEWAS/OWLS has also been used in: one high school course, an NSF-supported Chautauqua Professional Development Short Course Series and interactive touchscreen displays available to the public on the Virginia Tech campus. This I-Corps L project builds upon the outcomes of prior successful NSF grants in which the investigators have demonstrated successful implementation of the LEWAS/OWLS-based learning modules into various courses. This research, using the theoretical framework of situated learning, has shown that use of the OWLS as a remote lab within hybrid instruction increases students' learning of environmental monitoring concepts and motivation. The team proposes to investigate potential customer interest in incorporating the LEWAS/OWLS-based modules into 9-12 grade instruction. The expectation is that incorporation of these modules that combine the idea of understanding, evaluating, creating, and managing environmental (water quality and quantity and weather) data through computation will lead to wide-scale adoption of a cyberlearning approach for developing skills among 9-12th-grade students in environmental monitoring and computational thinking.