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

• 批准号: 2332856
• 负责人: Jill Zande
• 金额: $ 34.85万
• 依托单位: MARINE TECHNOLOGY SOCIETY, INC.
• 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: 2023-02-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332856&HistoricalAwards=false
• 关键词: New; Approach; Evaluate; Student; Learning

There is a growing national demand for students with the content knowledge and skills needed to enter college level technician education programs and the skilled technical workforce. Robotics competitions are popular venues for engaging students in STEM disciplines. Such competitions can 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. The goals of the ROV competition include sparking student interest in STEM, helping them develop 21st Century workplace skills, and enabling them to envision themselves on STEM career pathways. This project will support the ability of participating students 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. The project focus includes high school, community college, and college/university students who participate in national or international ROV competitions. This project builds upon and extends findings obtained using comprehensive post-competition surveys that support the value of the ROV competitions for participating students, and is aligned with the goals of the NSF ATE program. In addition to the MATE Center at Monterey Peninsula College, the project brings together the State University of New York College at Buffalo, and the technical resources available through the Science Education Resource Center at Carleton College. This project builds on a successful approach for evaluating of undergraduate research developed at SUNY Buffalo State. This approach, Evaluate Undergraduate Research (EvaluateUR), assesses desirable student outcomes, including both content knowledge and workplace skills, such as communication skills, creativity, autonomy, an ability to overcome obstacles, critical thinking, and problem-solving skills. EvaluateUR also helps students develop metacognition skills, which in turn promote student understanding of their academic strengths and weaknesses. The project will adapt 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 to prepare for additional education and/or the workplace; 2) Measure more precisely how much growth each student participate has demonstrated toward achieving such mastery; 3) Accomplish these goals in a way that strengthens student metacognitive abilities; and 4) Use data from all institutions involved in the competition to create a database 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 suite of land, air, and sea programs, represent potential users of this methodology. Dissemination of project results will include these robotics communities as well as other national associations and the NSF ATE 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.

国家对具有内容知识和技能的学生的需求不断增长，进入大学级别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。 这样的竞赛可以将学生，导师和机构与各种成功和引人入胜的技术计划联系起来。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）比赛。ROV竞赛的目标包括引发学生对STEM的兴趣，帮助他们发展21世纪的工作场所技能，并使他们能够在STEM职业道路上设想自己。该项目将支持参与学生确定通过这项活动获得所需的知识和技能，清楚地查看他们需要改进的领域，并在继续教育和/或准备进入劳动力时利用这些知识来利用他们的优势。该项目的重点包括参加国家或国际ROV比赛的高中，社区学院以及大学/大学生。 该项目基于并扩展了使用综合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，并与NSF ATE计划的目标保持一致。除了蒙特雷半岛学院的伴侣中心外，该项目还汇集了布法罗州立大学的纽约大学，以及通过卡尔顿学院的科学教育资源中心获得的技术资源。 该项目以成功评估SUNY BUFFALO州开发的本科研究的成功方法为基础。评估本科研究（评估师），这种方法评估了理想的学生成果，包括内容知识和工作场所技能，例如沟通技巧，创造力，自治，能够克服障碍，批判性思维和解决问题的能力。评估师还可以帮助学生发展元认知技能，从而促进学生对他们的学术优势和缺点的理解。 该项目将适应评估师，为参加Mate的区域和国际ROV竞赛的学生提供服务，在指导设计和建造ROV的学生时为教师顾问提供支持，并提供可靠的反馈，以使比赛的学术价值交配。 将支持以下目标：1）确保所有参与竞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，以准备额外的教育和/或工作场所； 2）更精确地衡量每个学生参与的增长能够证明达到这种掌握； 3）以增强学生元认知能力的方式实现这些目标； 4）使用参与竞争的所有机构的数据来创建一个可靠的，统计验证的发现的数据库，以显示学生在特定知识和技能方面的成长。还可以预料，其他机器人竞赛，例如First，Vex，Botball以及无人车系统国际套件的土地，空中和海上计划，代表了这种方法的潜在用户。 项目结果的传播将包括这些机器人技术社区以及其他国家协会和NSF ATE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。