Building Capacity: Advancing Student Success in Undergraduate Engineering and Computer Science

能力建设：促进学生在本科工程和计算机科学方面取得成功

• 批准号: 1832536
• 负责人: Sudarshan Kurwadkar
• 金额: $ 149.7万
• 依托单位: CSU Fullerton Auxiliary Services Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832536&HistoricalAwards=false
• 关键词: Building; Capacity; Advancing; Student; Success

The Improving Undergraduate STEM Education: Hispanic-Serving Institutions Program (HSI Program) aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge about how to achieve these aims. This project at California State University-Fullerton will advance the aims of the HSI Program by increasing retention and graduation rates in computer science and engineering and reducing high repetition rates in lower-division STEM courses. Many students encounter challenges unique to their cultural or economic background, such as competing financial responsibilities and family commitments. These challenges can decrease students' capacity to achieve their potential level of performance in college. This project seeks to generate new knowledge about the role of social support mechanisms in helping students overcome these challenges. To this end, the project aims to integrate sociocultural practices, establish strong student-faculty rapport, and involve students in intellectually stimulating, personally relevant learning experiences, and hands-on research experiences in lower-division bottleneck STEM courses. By increasing retention and graduation rates, HSIs such as California State University-Fullerton have a potential to help fill critical gaps and broaden participation in the US STEM workforce.This project aims to develop contextualized, replicable learning modules; improve curricula and pedagogical approaches; provide faculty development and support; establish effective family and community engagement; and cultivate engaging faculty-student interactions. The learning modules may help researchers and educators in other higher education institutions, including HSIs, to adopt and enhance student learning in lower-division STEM courses. Involving students' families in STEM enrichment activities is predicted to create an enduring awareness in the community, with the potential to motivate future generations of students to pursue STEM careers. Both quantitative and qualitative research data will be collected and will include student outcomes and personal, social, cognitive, and contextual factors that may influence these outcomes. Anticipated student benefits from the project include improved morale, self-efficacy, persistence, and improvement in career-readiness skills, which are essential for the next-generation of scientists and engineers who will sustain the global competitiveness of the US 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.

改善本科STEM教育：西班牙裔服务机构计划（HSI计划）旨在加强本科STEM教育并建立HSI的能力。HSI计划支持的项目也将产生关于如何实现这些目标的新知识。加州州立大学富勒顿分校的这个项目将通过提高计算机科学和工程的保留率和毕业率，并降低低级别STEM课程的高重复率来推进HSI计划的目标。许多学生会遇到与其文化或经济背景不同的挑战，例如相互竞争的经济责任和家庭责任。 这些挑战会降低学生在大学里实现其潜在表现水平的能力。该项目旨在产生关于社会支持机制在帮助学生克服这些挑战方面的作用的新知识。为此，该项目旨在整合社会文化实践，建立强大的师生关系，并让学生参与智力刺激，个人相关的学习经验，以及在较低的部门瓶颈STEM课程中的实践研究经验。通过提高保留率和毕业率，像加州州立大学富勒顿分校这样的HSIs有可能帮助填补美国STEM劳动力的关键空白，扩大参与度。该项目旨在开发情境化的、可复制的学习模块;改进课程和教学方法;提供教师发展和支持;建立有效的家庭和社区参与;培养引人入胜的师生互动。学习模块可以帮助研究人员和教育工作者在其他高等教育机构，包括HSIs，采用和加强学生学习低司干课程。预计让学生家庭参与STEM丰富活动将在社区中建立持久的意识，并有可能激励后代学生追求STEM职业。将收集定量和定性研究数据，包括学生的成绩和可能影响这些结果的个人，社会，认知和背景因素。该项目的预期学生利益包括提高士气，自我效能，毅力和职业准备技能的改善，这对下一代科学家和工程师至关重要，他们将维持美国经济的全球竞争力。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Data Science Analysis of Malicious Advertisements and Threat Detection Automation for Cybersecurity Progress

恶意广告的数据科学分析和威胁检测自动化促进网络安全进步

• DOI: 10.1109/ccwc57344.2023.10099325
• 发表时间: 2023
• 期刊: Institute of Electrical and Electronics Engineers
• 作者: Nguyen, Sandra;Bein, Doina
• 通讯作者: Bein, Doina

ETL and ML Forecasting Modeling Process Automation System

ETL 和 ML 预测建模流程自动化系统

• DOI: 10.54941/ahfe1003775
• 发表时间: 2023
• 期刊: Applied Human Factors and Ergonomics International
• 作者: Wu, Jennifer;Bein, Doina;Huang, Jidong;Kurwadkar, Sudarshan
• 通讯作者: Kurwadkar, Sudarshan

Lessons Learned From the First-Year Enrichment Program for Engineering and Computer Science Students in the ASSURE-US Program

从 ASSURE-US 项目中工程和计算机科学专业学生第一年强化计划中汲取的经验教训

• 发表时间: 2021
• 期刊: 2021 ASEE Virtual Annual Conference
• 作者: Bein, D.

Application of Clustering Approach for Risk Assessment of Drinking Water Facilities Worldwide

聚类方法在全球饮用水设施风险评估中的应用

• DOI: 10.3850/iahr-39wc2521711920221253
• 发表时间: 2022
• 期刊: Proceedings of the 39th IAHR World Congress
• 作者: Puri, Prisha;Kurwadkar, Sudarshan;Bein, Doina
• 通讯作者: Bein, Doina

Improving Internet Advertising Using Click – Through Rate Prediction

通过点击率预测改进互联网广告

• DOI: 10.54941/ahfe1003772
• 发表时间: 2023
• 期刊: Applied Human Factors and Ergonomics International
• 作者: Gudipudi, Rakesh;Nguyen, Sandra;Bein, Doina;Kurwadkar, Sudarshan
• 通讯作者: Kurwadkar, Sudarshan