HSI Pilot Project: The MAESTRO Program - Minority Advancement in Engineering, Science, and Technology by Refactoring the Online Program

在改善本科STEM教育：西班牙裔服务机构（HSI计划）的支持下，这一轨道1:PPP旨在解决西班牙裔/拉丁裔，低收入，第一代学生有效参与高等教育缺乏手段和支持的问题。现代学生一边上学一边工作。对于每周工作20到40个小时的西班牙裔/拉丁裔学生来说，这种工作量可能会影响出勤率和GPA，最终导致就业机会不佳。为了解决低收入家庭学生工作优先的问题，将采用两种方法：1)用行业实习取代与职业无关的工作经验；2)开发新的在线学习模式。最重要的主题是帮助学生维持他们的收入和学业。忙碌的学生经常求助于在线课程，如果结合在线视频和同伴指导，这些课程与面对面教学一样有效。然而，由于缺乏监管和社会互动，这种模式将有风险的学生一分为二。初步结果表明，这种课堂模式并没有改善加州州立大学贝克斯菲尔德分校（CSUB）学生的成绩或态度。将开创一种系统，通过围绕学生作业不时召集小组来支撑和规范课堂。将为数据科学和无线通信方面的学生提供重要的、有意义的体验。这个项目的参与者将有与职业相关的实习/工作经验，更高的保留率，更短的毕业时间，更少的压力和更好的动力。它将有助于美国科技劳动力的规模和多样性。这个项目将利用实时教学，让学生按照自己的节奏进行。教师通过召集小组来监督、支撑和自我调节课堂，有时方便学生进行半同步学习。这种方法将与计算机工程（CE）、计算机科学（CS）和电气工程（EE）相关的行业实习相结合。将评估这些策略的影响，以及它们如何提高西班牙裔/拉丁裔、低收入和/或非传统学生在CE、CS和EE的保留率和成功率。调查结果将通过各种会议、出版物、讲习班和项目网站广泛传播。HSI计划旨在加强本科STEM教育，扩大STEM参与，并在HSI进行能力建设。考虑到hsi的多样性和背景，实现这些目标需要创新的方法来激励机构和社区转型，并促进基础研究(1)关于参与式学生学习，(2)关于如何有效地使STEM多样化和增加参与，以及(3)提高我们对如何在hsi建立机构能力的理解。HSI计划支持的项目也将借鉴这些方法，为如何实现这些目标提供新的知识。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。

With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Track 1: PPP aims to address the lack of means and support for Hispanic/Latinx, low-income, first generation students to effectively participate in postsecondary education. Modern students work while going to school. For Hispanic/Latinx students who work twenty to forty hours a week, this workload may affect attendance and GPA, ultimately resulting in poor workforce placement. Addressing the issue that work comes first for many low-income underrepresented students, two approaches will be utilized: 1) supplant non-career-relevant work experience with industry internships, and 2) develop new formats for online learning. The overarching theme is to help students maintain both their income and academics. Busy students often turn to online programs that can be as effective as face-to-face instruction when combined with online videos and peer instruction. However, this model dichotomizes at-risk students due to poor regulation and social interaction. Preliminary results show that this classroom model does not improve outcomes or attitudes of California State University- Bakersfield (CSUB) students. A system that scaffolds and regulates the class with small groups convened at times around student work will be pioneered. Significant, meaningful experiences will be offered for students in data science and wireless communication. Participants of this program will have career-relevant internship/work experience, better retention rates, shorter timelines to graduation, reduced stress, and better motivation. It will contribute to the size and diversity of the U.S. science and technology workforce. This project will utilize Real-Time Teaching where students proceed at their own pace. The instructor monitors, scaffolds, and self-regulates the class by convening small groups at times convenient to the students for semi-synchronous learning. This approach will be paired with industry internships relevant to careers in Computer Engineering (CE), Computer Science (CS), and Electrical Engineering (EE). The impact of these strategies and how they improve the retention and success of the Hispanic/Latinx, low-income, and/or non-traditional students in CE, CS, and EE will be assessed. Findings will be disseminated broadly through various presentations at conferences, publications, workshops and a project website. The HSI Program aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs. Achieving these aims, given the diverse nature and context of the HSIs, requires innovative approaches that incentivize institutional and community transformation and promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs. Projects supported by the HSI Program will also draw from these approaches to generate new knowledge on how to achieve these aims.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.