RET Site: Computer Science Research Opportunity for Smart Environments (ROSE)

智能环境计算机科学研究机会（ROSE）是密苏里州州立大学（MSU）为期三年的新RET站点，将为30名初中和高中STEM教师提供独特的研究体验。ROSE专注于物联网（IoT），智能环境，人工智能，安全和数据挖掘研究。自然与应用科学学院和教育学院将与当地学区合作，包括密苏里州西南部的高需求学校，以丰富他们对下一代物联网和智能环境的了解。ROSE将在为期六周的夏季研讨会和学年后续活动中为参与教师提供研究培训和指导。教师将与教师导师一起工作，通过指导研究体验，发现多媒体处理，计算机安全，人工智能和机器学习技术的研究挑战和实用解决方案。该项目将影响参与教师的专业发展和计算思维，解决问题和科学研究到STEM课程的最佳教学实践。教师将开发新的课程，结合计算思维，计算机编程，网络安全和互联网的概念。ROSE项目旨在通过学年课堂访问，每月虚拟重组会议，每周办公时间以及在向公众开放的ROSE年度研讨会期间分享课程计划和经验，与教师建立长期关系。ROSE将帮助教师培养对智能环境研究的热情，这将有助于他们提高学生对计算机科学的兴趣，并希望在STEM相关领域追求未来的学术和职业生涯，这是国家的需要。参与教师将与密歇根州立大学教师和研究生导师一起工作，以发现研究挑战和实际解决方案，为下一个-新一代智能环境中，各种智能设备正在努力使居民的生活更加舒适。ROSE教师和研究生导师将帮助教师制定课程计划，将计算机编程，算法和数据分析的概念结合起来。参与的教师将整合他们从ROSE研究项目中获得的知识和技能，以创造包容性的课堂体验。ROSE将探讨如何研究为基础的探索性学习，当融入6-12年级的课程，影响学生的看法，连接抽象的原则，以解决问题的实际方面使用计算机和计算概念。ROSE的长期影响是：1）建立教师和学生解决科学问题的信心; 2）丰富教师在STEM教育中的专业发展; 3）创新教案，培养学生的好奇心、探究能力和解决问题的能力，和4）的方法提高学生在计算机科学方面的知识广度，为他们在快速变化的世界中的劳动力做好准备。基金会的使命是履行其使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评价，被认为值得支持。

Computer Science Research Opportunity for Smart Environments (ROSE), a three-year new RET site at Missouri State University (MSU), will provide a unique research experience to 30 middle and high school STEM teachers. ROSE is focused on topics of Internet of Things (IoT), smart environments, artificial intelligence, security, and data mining research. The College of Natural and Applied Sciences and the College of Education will partner with local school districts, including high-needs schools, in Southwest Missouri to enrich their knowledge of the next generation of IoT and smart environments. ROSE will provide research training and mentoring for participating teachers during a six weeklong summer workshop and academic year follow-ups. Teachers will work alongside faculty mentors to discover research challenges and practical solutions for multimedia processing, computer security, artificial intelligence, and machine learning technology through a guided research experience. This project will impact participating teachers’ professional development and best teaching practices in computational thinking, problem solving, and scientific research into STEM curriculum. Teachers will develop new lessons incorporating concepts from computational thinking, computer programming, network security, and the Internet. The ROSE project aims to develop long-term relationships with teachers via academic year classroom visits, monthly virtual re-group sessions, weekly office hours, and sharing of lesson plans and experiences during the open to public ROSE Annual Symposiums. ROSE will help teachers develop a passion for research in smart environments, which will subsequently help them increase their students' interest in computer science and desire to pursue future academic and career endeavors in STEM-related fields, which is a national need.In ROSE, participating teachers will work alongside MSU faculty and graduate student mentors to discover research challenges and practical solutions for next-generation smart environments where a variety of smart devices are working to make inhabitants' lives more comfortable. ROSE faculty and graduate student mentors will facilitate teachers to develop lesson plans, incorporating concepts from computer programming, algorithms, and data analysis. Participating teachers will integrate the knowledge and skills they acquire from ROSE research projects to create an inclusive classroom experience. ROSE will explore how research-based exploratory learning, when integrated into 6-12 grade curricula, influences student perceptions to connect abstract principles to practical aspects of problem-solving using computers and computing concepts. Long-range impacts of ROSE are: 1) building teacher and students’ confidence to tackle scientific problems; 2) enriching teachers’ professional development in STEM education; 3) creating innovative lesson plans to foster students’ curiosity, investigative skills and problem-solving abilities, and 4) improving students’ breadth of knowledge in computer science to prepare them for the workforce in a rapidly changing world.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.