RET Site: Computer Science Research Opportunity for Smart Environments (ROSE)
RET 网站:智能环境的计算机科学研究机会 (ROSE)
基本信息
- 批准号:2302060
- 负责人:
- 金额:$ 60万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
智能环境计算机科学研究机会(ROSE)是密苏里州立大学(MSU)一个为期三年的新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、安全和数据挖掘等领域的研究。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(包括高需求学校)合作,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跟踪期间为参与的教师提供研究培训和指导。教师将与教师导师一起,通过指导的研究经验,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际解决方案。该项目将影响参与STEM课程的教师在计算思维、问题解决和科学研究方面的专业发展和最佳教学实践。教师将开发新的课程,将计算思维、计算机编程、网络安全和互联网的概念结合起来。ROSE项目旨在通过学年的课堂访问、每月的虚拟分组会议、每周的办公时间以及在ROSE年度公开研讨会期间分享课程计划和经验,与教师建立长期的关系。ROSE将帮助教师培养对智能环境研究的热情,这将随后帮助他们提高学生对计算机科学的兴趣,并渴望在stem相关领域追求未来的学术和职业努力,这是国家的需求。在ROSE项目中,参与的教师将与密歇根州立大学的教职员工和研究生导师一起,为下一代智能环境发现研究挑战和实用的解决方案,在这些环境中,各种智能设备正在努力使居民的生活更舒适。ROSE的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将探索基于研究的探索性学习,当整合到6-12年级的课程中时,如何影响学生的感知,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。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)在STEM教育中丰富教师的专业发展;3)制定创新的课程计划,以培养学生的好奇心、调查技能和解决问题的能力;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就业做好准备。该奖项反映了美国国家科学基金会的法定使命,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估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
TIM-MARL: Information Sharing for Multi-Agent Reinforcement Learning in Smart Environments
TIM-MARL:智能环境中多智能体强化学习的信息共享
- DOI:10.1109/ccnc51664.2024.10454813
- 发表时间:2024
- 期刊:
- 影响因子:0
- 作者:Siddiqua, Ayesha;Liu, Siming;Iqbal, Razib;Irfan, Fahim Ahmed;Ross, Logan;Zweerink, Brian
- 通讯作者:Zweerink, Brian
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Razib Iqbal其他文献
Compressed Domain Authentication of Live Video
直播视频压缩域认证
- DOI:
10.1109/icspc.2007.4728601 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Razib Iqbal;S. Shirmohammadi;Jiying Zhao - 通讯作者:
Jiying Zhao
A new approach for IR spectra matching using normalized local change.
一种使用归一化局部变化进行红外光谱匹配的新方法。
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:6.2
- 作者:
Joshua D. Ellis;Razib Iqbal;K. Yoshimatsu - 通讯作者:
K. Yoshimatsu
A Framework for Context Recognition from Voice Commands and Conversations with Smart Assistants
语音命令和与智能助手对话的上下文识别框架
- DOI:
10.1109/ccnc51664.2024.10454771 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jeniya Sultana;Razib Iqbal - 通讯作者:
Razib Iqbal
Infrared spectra prediction using attention-based graph neural networks
基于注意力的图神经网络的红外光谱预测
- DOI:
10.1039/d3dd00254c - 发表时间:
2024-03-13 - 期刊:
- 影响因子:5.600
- 作者:
Naseem Saquer;Razib Iqbal;Joshua D. Ellis;Keiichi Yoshimatsu - 通讯作者:
Keiichi Yoshimatsu
An architecture for federated video processing and online streaming
联合视频处理和在线流媒体的架构
- DOI:
10.1145/2039331.2039338 - 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Razib Iqbal - 通讯作者:
Razib Iqbal
Razib Iqbal的其他文献
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