A New Approach to Evaluate Student Learning Outcomes Resulting From Participation in Remotely Operated Vehicle Competitions

评估参加远程操作车辆竞赛的学生学习成果的新方法

基本信息

批准号：
1932929
负责人：
Jill Singer
金额：
$ 75.15万
依托单位：
SUNY College at Buffalo
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1932929&HistoricalAwards=false
关键词：
New Approach Evaluate Student Learning

项目摘要

There is a growing national demand for students who possess content knowledge and skills that prepare them to enter college level technician education programs and the skilled technical workforce. Robotics competitions are popular venues for engaging students in STEM disciplines, and they connect students, mentors, and institutions to a variety of successful and engaging technology-based programs. The Marine Advanced Technology Education Center (MATE) has supported the Remotely Operated Vehicle (ROV) Competition since 2001 as a way to interest and engage students in STEM, help them develop 21st Century workplace skills, and enable them to envision themselves on career pathways. This project will support high school, community college, and college/university students who participate in regional and international ROV competitions to identify the knowledge and skills they need to gain through this activity, to see clearly the areas where they need to improve, and to use this knowledge to their advantage as they continue their education and/or prepare to enter the workforce. This project builds upon and extends findings obtained using a set of comprehensive post-competition surveys that support the value of the ROV competitions for participating students, and is strongly aligned with the goals of the ATE program. In addition to the MATE Center at Monterey Peninsula College (MPC), the project brings together the State University of New York College at Buffalo (Buffalo State), and the technical resources available through the Science Education Resource Center (SERC) at Carleton College. This project builds on EvaluateUR, a successful evaluation method developed at SUNY Buffalo State. EvaluateUR provides detailed data measuring a broad range of desirable student outcomes that include both content knowledge and outcomes that are critically important in the workplace, such as communication skills, creativity, autonomy, an ability to overcome obstacles, critical thinking, and problem-solving skills. EvaluateUR also provides students with "metacognition" skills - the ability to understand their academic strengths and weaknesses and take greater ownership of their own learning. The project will adapt the innovative design of EvaluateUR to serve students participating in MATE's regional and international ROV competitions, support faculty advisors as they mentor students who are designing and building ROVs, and provide reliable feedback to MATE about the academic value of the competitions. The following objectives will be supported: 1) Ensure that all students involved in the competitions know at the outset of their participation what specific knowledge and skills they should be mastering in order to prepare for additional education and/or the workplace; 2) Measure more precisely for each student how much growth he or she has demonstrated toward achieving such mastery; 3) Accomplish these goals in a way that strengthens student metacognitive abilities; and 4) Create a database, for each institution participating in the competitions, of reliable, statistically validated findings showing student growth on specific knowledge and skills. It is also anticipated that other robotics competitions, such as FIRST, VEX, Botball, and the Association of Unmanned Vehicle System International's (AUVSI) suite of land, air, and sea programs, represent potential users of this methodology, and dissemination of project results will include these robotics communities as well as other national associations and the ATE PI community. This project is funded by the NSF Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.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.

国家对拥有内容知识和技能的学生的需求不断增长，他们准备进入大学水平的技术人员教育计划和熟练的技术劳动力。机器人竞赛是吸引学生参与STEM学科的流行场所，他们将学生，导师和机构与各种成功且引人入胜的基于技术的计划联系起来。海洋高级技术教育中心（MATE）自2001年以来一直支持远程操作的车辆（ROV）竞争，这是一种让学生感兴趣并吸引学生参与STEM的方式，帮助他们发展21世纪的工作场所技能，并使他们能够在职业道路上设想自己。该项目将支持参加区域和国际ROV竞赛的高中，社区学院以及大学/大学学生，以确定他们通过这项活动获得所需的知识和技能，清楚地看到他们需要改进的领域，并在继续接受教育和/或准备进入劳动力时利用这些知识来利用他们的优势。该项目基于并扩展了使用一组全面的竞争后调查获得的发现，这些调查支持ROV竞赛对参与学生的价值，并且与ATE计划的目标密切相符。除了蒙特雷半岛学院（MPC）的伴侣中心外，该项目还汇集了布法罗州立大学（布法罗州立大学）纽约大学，以及可通过Carleton College的科学教育资源中心（SERC）获得的技术资源。该项目建立在评估室的基础上，这是在纽约州立大学布法罗州开发的成功评估方法。评估室提供了详细的数据，以衡量广泛的理想学生成果，包括内容知识和成果在工作场所至关重要的结果，例如沟通技巧，创造力，自主权，能够克服障碍，批判性思维和解决问题的技能的能力。评估师还为学生提供了“元认知”技能 - 了解他们的学术优势和劣势并获得自己的学习所有权的能力。该项目将适应评估室的创新设计，以服务于参加Mate的区域和国际ROV比赛的学生，在指导设计和建造ROV的学生时为教师顾问提供支持，并为比赛的学术价值提供可靠的反馈。将支持以下目标：1）确保所有参与比赛的学生在参与开始时都知道他们应该掌握哪些特定知识和技能，以便为额外的教育和/或工作场所做准备； 2）更精确地衡量每个学生的成长，以实现这种掌握的成长； 3）以增强学生元认知能力的方式实现这些目标； 4）创建一个数据库，为参加比赛的每个机构，具有可靠，统计验证的发现，显示了学生对特定知识和技能的成长。还可以预料，其他机器人竞赛，例如第一，VEX，BOTBALL以及无人驾驶汽车系统国际（AUVSI）的土地，空中和海上计划的套件，代表了这种方法的潜在用户，并且项目结果的传播将包括这些机器人社区以及其他国家协会以及其他国家协会以及ATE PI社区。该项目由NSF高级技术教育计划资助，该计划的重点是推动美国经济的高级技术领域的技术人员的教育。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响标准的评估来通过评估来支持的。