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

面向智能环境的计算机科学研究机会(ROSE)是密苏里州立大学(MSU)为期三年的新RET网站，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等主题。自然与应用科学学院和教育学院将与密苏里州西南部的当地学区合作，包括高需求学校，以丰富他们对下一代物联网和智能环境的知识。ROSE将在为期六周的暑期研讨会和学年后续活动中为参赛教师提供研究培训和指导。教师将与教师导师合作，通过有指导的研究体验，发现多媒体处理、计算机安全、人工智能和机器学习技术方面的研究挑战和实用解决方案。该项目将影响参与的教师在STEM课程的计算思维、问题解决和科学研究方面的专业发展和最佳教学实践。教师将开发包含计算思维、计算机编程、网络安全和互联网概念的新课程。ROSE项目旨在通过学年课堂访问、每月虚拟分组会议、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教案和经验，与教师发展长期关系。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，并渴望在STEM相关领域从事未来的学术和职业努力，这是国家的需要。在ROSE中，参与教师将与密歇根州立大学的教师和研究生导师合作，为下一代智能环境发现研究挑战和实用解决方案，在下一代智能环境中，各种智能设备正在努力让居民的生活更舒适。ROSE教师和研究生导师将帮助教师制定教案，纳入计算机编程、算法和数据分析的概念。参与教师将整合他们从ROSE研究项目中获得的知识和技能，创造包容的课堂体验。ROSE将探索研究性探究性学习，当被整合到6-12年级课程中时，如何影响学生将抽象原则与使用计算机和计算概念解决问题的实际方面联系起来的感知。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)创建创新的教案来培养学生的好奇心、调查能力和解决问题的能力；以及4)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。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，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.