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

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.
智能环境的计算机科学研究机会(ROSE)是密苏里州立大学(MSU)的三年新RET网站,将为30名中学和高中STEM教师提供独特的研究经验。罗斯专注于物联网(IoT),智能环境,人工智能,安全和数据挖掘研究的主题。自然和应用科学学院和教育学院将与密苏里西南部的当地学区(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将在为期六个星期的夏季研讨会和学年的后续活动中为参加教师提供研究培训和心理化。教师将通过指导研究经验与教师指导者一起工作,以发现多媒体处理,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在计算思维,解决问题和STEM课程的科学研究方面的最佳教学实践。教师将开发新的课程,从计算思维,计算机编程,网络安全和互联网编码概念。 Rose项目旨在通过学年的课堂访问,每月的虚拟重组会议,每周办公时间的时间以及在公开向公共玫瑰年度研讨会上分享课程计划和经验的长期关系。罗斯(Rose)将帮助教师对智能环境中的研究产生热情,随后,这将帮助他们增加学生对计算机科学的兴趣,并渴望在与STEM相关的领域中追求未来的学术和职业努力,这是一个国家的需要。玫瑰教师和研究生导师将促进教师制定课程计划,结合计算机编程,算法和数据分析的概念。参与的教师将整合他们从玫瑰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如何整合到6-12年级课程中,会影响学生的看法,将抽象原理与使用计算机和计算概念解决问题的实际方面联系起来。玫瑰的远程影响是:1)建立老师和学生对解决科学问题的信心; 2)丰富教师在STEM教育方面的专业发展; 3)制定创新的课程计划,以培养学生的好奇心,调查技巧和解决问题的能力,以及4)提高学生在计算机科学方面的知识广度,以在快速变化的世界中为劳动力做好准备。该奖项反映了NSF的法定任务,并通过使用基金会的知识优点和广泛的影响来评估NSF的法定任务,并被认为是宝贵的支持。

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
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
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 Cloud-Based Multi-threaded Implementation of View Synthesis System
一种基于云的多线程视图合成系统实现
A distributed camera network architecture supporting video adaptation
支持视频适配的分布式摄像机网络架构

Razib Iqbal的其他文献

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