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

这个I-Corps L项目将研究环境监测模块的潜力，这些模块由9- 12年级学生的小城市流域的高频水和天气数据提供信息。学习增强型流域评估系统（LEWAS）是一个实时、高频率（1-3分钟）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个不同的工程、科学和工业设计本科大学课程，三个国家四所大学的一个研究生水文课程，以及弗吉尼亚州两所社区学院（弗吉尼亚西部大学和约翰泰勒）的四个一年级工程课程。LEWAS/OWLS还被用于：一个高中课程，NSF支持的肖托夸夸专业发展短期课程系列和交互式触摸屏显示器提供给公众在弗吉尼亚理工大学校园。这个I-Corps L项目建立在先前成功的NSF赠款的成果之上，其中研究人员已经证明了基于LEWAS/OWLS的学习模块在各种课程中的成功实施。这项研究，使用情境学习的理论框架，已经表明，使用OWLS作为混合教学中的远程实验室增加了学生的学习环境监测的概念和动机。该小组建议调查潜在的客户兴趣，将LEWAS/OWLS为基础的模块纳入9-12年级的指令。我们的期望是，这些模块结合联合收割机的理解，评估，创建和管理环境（水质和数量和天气）数据通过计算的想法，将导致大规模采用网络学习的方法，发展技能9- 12年级学生在环境监测和计算思维。

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.