RET Site: Biologically Inspired Computing Models, Systems, and Applications

RET 站点：仿生计算模型、系统和应用

• 批准号: 2302070
• 负责人: Michael Niemier
• 金额: $ 59.92万
• 依托单位: University of Notre Dame
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302070&HistoricalAwards=false
• 关键词: RET; Site; Biologically; Inspired; Computing

This award renews a Research Experience for Teachers site at the University of Notre Dame. The site will form partnerships between Notre Dame computer science students and faculty, Notre Dame students in pre-service education programs, and teachers from elementary and middle schools in the greater South Bend area. During the summer, teacher participants will work on research projects focusing on the advances, capabilities, and challenges associated with machine learning (ML) / artificial intelligence (AI) algorithms that are currently driving efforts across the technology, manufacturing, and government sectors. To translate their research experience into the classroom, teacher participants will develop new curricular materials that focus on the mathematical techniques at the heart of many applications students already use on a daily basis (e.g., ML algorithms that draw boxes around individual faces when using an smartphone camera) and the ethical implications of such technologies. These materials will address newly released computer science standards from the Indiana Department of Education and be shared at the local, state, and national levels. Through this RET site experience, teachers will gain tools to introduce and prepare future generations of students to understand and develop ML/AI software and systems. The Computing RET site will recruit teacher cohorts from elementary and middle schools in the greater South Bend area, as well as several local colleges that partner with area school districts to form in-service/pre-service student teacher partnerships. A specific aim is to pair pre-service teachers with the in-service teacher with whom they will complete their student teaching assignment. Selected participants will work with ND faculty and students for seven weeks during the summer on an appropriately tailored, ML/AI-centric research project. Teachers will also be supported by professional development activities that include but are not limited to (1) strategies for translating research into the classroom, (2) presentations that introduce participants to the technical state-of-the-art with respect to ML/AI hardware and software, (3) the ethical challenges posed by ML/AI systems, etc. Developed materials will be shared through multiple channels including a Computer Science Teachers Association (CSTA) regional chapter, and online repositories such as the CSTA or TeachEngineering.org. RET personnel will also engage with educational foundations in local school districts that aim to broadcast developed materials district-wide. Summer activities will be complemented by extensive, post-program follow-up activities that share an overarching theme of helping RET participants provide their students with context about the scientific background and motivation for a module objective. Notre Dame personnel and in-service teachers will also work with pre-service teachers to discuss strategies and best-practices for integrating STEM into “day-to-day” lessons, how to engage diverse groups of students with said content, etc. Post-program engagements will ensure the translation of lab experiences into classroom practice, and to foster and strengthen long-term partnership between engineering faculty and the local school districts.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.

该奖项为巴黎圣母院的教师网站恢复了研究经验。该网站将在巴黎圣母院的计算机科学专业的学生与教职员工，职前教育计划中的圣母院学生与大南本德地区的小学和中学的老师之间建立合作伙伴关系。在夏季，教师参与者将研究研究项目，重点介绍与机器学习（ML） /人工智能（AI）算法相关的进步，能力和挑战，这些算法目前正在推动整个技术，制造业和政府部门的努力。为了将他们的研究经验转化为课堂，教师参与者将开发新的当前材料，这些材料专注于许多学生每天已经使用的许多应用程序的核心（例如，使用智能手机相机时围绕单个面孔绘制盒子的ML算法）以及此类技术的道德意义。这些材料将解决印第安纳州教育部新发布的计算机科学标准，并在当地，州和国家一级分享。通过这种RET站点的经验，教师将获得介绍和准备几代学生来理解和开发ML/AI软件和系统的工具。计算机场网站将从大南本德地区的小学和中学以及与地区学区合作以组成服务/服务前学生教师伙伴关系的几所本地学院招募教师队列。一个具体的目的是将职前教师与服务中的老师配对，他们将与他们完成学生的教学任务。选定的参与者将在夏季与ND教职员工和学生一起工作七个星期，以适当定制的ML/AI中心研究项目。教师还将得到专业发展活动的支持，包括但不限于（1）将研究转化为课堂的策略，（2）向参与者介绍有关ML/AI硬件和软件的技术最新技术的演示文稿，（3）通过ML/AI Systems构成的伦理挑战。 csta或teachengineering.org。 RET人员还将与旨在在范围内广播开发材料的当地学区的教育基础。夏季活动将通过广泛的，后期的后续活动完成，该活动具有共同的总体主题，即帮助RET参与者为学生提供有关模块目标的科学背景和动力的背景。巴黎圣母院的人员和在职教师还将与服务前教师合作，讨论将STEM整合到“日常”课程中的策略和最佳实践，如何让涉及上述内容的学生群体与众多的学生互动。编程后的订婚将确保将实验室经验的翻译成教学界和统计的统计范围，以促进和增强统计的统计范围，并在当地的统计范围内宣告了统计的企业，并培养了统计的统计范围，并培养了统计的企业企业，并培养了统计的企业企业，并培养了统计的企业企业，并培养了统计的企业企业，并培养了统计的企业，并培养了统计的企业，并培养了统计的统计范围。认为值得通过基金会的智力优点和更广泛影响的评论标准来评估值得支持。