skip to main content


Title: Enabling data science education in STEM disciplines through supervised undergraduate research experiences
Data Science plays a vital role in sciences and engineering disciplines to discover meaningful information and predict the outcome of real-world problems. Despite the significance of this field and high demand, knowledge of how to effectively provide data science research experience to STEM students is scarce. This paper focuses on the role of data science and analytics education to improve the students' computing and analytical skills across a range of domain-specific problems. The paper studies four examples of data-intensive STEM projects for supervised undergraduate research experiences (SURE) in Mechanical Engineering, Biomedical science, Quantum Physics, and Cybersecurity. The developed projects include the applications of data science for improving additive manufacturing, automating microscopy image analysis, identifying the quantum optical modes, and detecting network intrusion. The paper aims to provide some guidelines to effectively educate the next generation of STEM undergraduate and graduate students and prepare STEM professionals with interdisciplinary knowledge, skills, and competencies in data science. The paper includes a summary of activities and outcomes from our research and education in the field of data science and machine learning. We will evaluate the student learning outcomes in solving big data interdisciplinary projects to confront the new challenges in a computationally-driven world.  more » « less
Award ID(s):
2011900
NSF-PAR ID:
10328039
Author(s) / Creator(s):
Date Published:
Journal Name:
American Society of Electrical Engineers (ASEE) Annual Conference Proceeding
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Data Science plays a vital role in sciences and engineering disciplines to discover meaningful information and predict the outcome of real-world problems. Despite the significance of this field and high demand, knowledge of how to effectively provide data science research experience to STEM students is scarce. This paper focuses on the role of data science and analytics education to improve the students' computing and analytical skills across a range of domain-specific problems. The paper studies four examples of data-intensive STEM projects for supervised undergraduate research experiences (SURE) in Mechanical Engineering, Biomedical science, Quantum Physics, and Cybersecurity. The developed projects include the applications of data science for improving additive manufacturing, automating microscopy images analysis, identifying the quantum optical modes, and detecting network intrusion. The paper aims to provide some guidelines to effectively educate the next generation of STEM undergraduate and graduate students and prepare STEM professionals with interdisciplinary knowledge, skills, and competencies in data science. The paper includes a summary of activities and outcomes from our research and education in the field of data science and machine learning. We will evaluate the student learning outcomes in solving big data interdisciplinary projects to confront the new challenges in a computationally-driven world. 
    more » « less
  2. This research paper presents preliminary results of an NSF-supported interdisciplinary collaboration between undergraduate engineering students and preservice teachers. The fields of engineering and elementary education share similar challenges when it comes to preparing undergraduate students for the new demands they will encounter in their profession. Engineering students need interprofessional skills that will help them value and negotiate the contributions of various disciplines while working on problems that require a multidisciplinary approach. Increasingly, the solutions to today's complex problems must integrate knowledge and practices from multiple disciplines and engineers must be able to recognize when expertise from outside their field can enhance their perspective and ability to develop innovative solutions. However, research suggests that it is challenging even for professional engineers to understand the roles, responsibilities, and integration of various disciplines, and engineering curricula have traditionally left little room for development of non-technical skills such as effective communication with a range of audiences and an ability to collaborate in multidisciplinary teams. Meanwhile, preservice teachers need new technical knowledge and skills that go beyond traditional core content knowledge, as they are now expected to embed engineering into science and coding concepts into traditional subject areas. There are nationwide calls to integrate engineering and coding into PreK-6 education as part of a larger campaign to attract more students to STEM disciplines and to increase exposure for girls and minority students who remain significantly underrepresented in engineering and computer science. Accordingly, schools need teachers who have not only the knowledge and skills to integrate these topics into mainstream subjects, but also the intention to do so. However, research suggests that preservice teachers do not feel academically prepared and confident enough to teach engineering-related topics. This interdisciplinary project provided engineering students with an opportunity to develop interprofessional skills as well as to reinforce their technical knowledge, while preservice teachers had the opportunity to be exposed to engineering content, more specifically coding, and develop competence for their future teaching careers. Undergraduate engineering students enrolled in a computational methods course and preservice teachers enrolled in an educational technology course partnered to plan and deliver robotics lessons to fifth and sixth graders. This paper reports on the effects of this collaboration on twenty engineering students and eight preservice teachers. T-tests were used to compare participants’ pre-/post- scores on a coding quiz. A post-lesson written reflection asked the undergraduate students to describe their robotics lessons and what they learned from interacting with their cross disciplinary peers and the fifth/sixth graders. Content analysis was used to identify emergent themes. Engineering students’ perceptions were generally positive, recounting enjoyment interacting with elementary students and gaining communication skills from collaborating with non-technical partners. Preservice teachers demonstrated gains in their technical knowledge as measured by the coding quiz, but reported lacking the confidence to teach coding and robotics independently of their partner engineering students. Both groups reported gaining new perspectives from working in interdisciplinary teams and seeing benefits for the fifth and sixth grade participants, including exposing girls and students of color to engineering and computing. 
    more » « less
  3. null (Ed.)
    STEM (science, technology, engineering, mathematics) graduate programs excel at developing students’ technical expertise and research skills. The interdisciplinary nature of many STEM research projects means that graduate students often find themselves paired with experts from other fields and asked to work together to solve complex problems. At Michigan State University, the College of Engineering has developed a graduate level course that helps students build professional skills (communications, teamwork, leadership) to enhance their participation in these types of interdisciplinary projects. This semester-long course also includes training on research mentoring, helping students work more effectively with their current faculty mentors and build skills to serve as mentors themselves. Discussions of research ethics are integrated throughout the course, which allows participants to partially fulfill graduate training requirements in the responsible conduct of research. This paper will discuss the development of this course, which is based in part on curriculum developed as part of an ongoing training grant from the National Science Foundation. 18 graduate students from Engineering and other STEM disciplines completed the course in Spring 2019, and we will present data gathered from these participants along with lessons learned and suggestions for institutions interested in adapting these open-source curriculum materials for their own use. Students completed pre- and post-course evaluations, which asked about their expectations and reasons for participating in the course at the outset and examined their experiences and learning at the end. Overall, students reported that the course content was highly relevant to their daily work and that they were highly satisfied with the content of all three major focus areas (communications, teamwork, leadership). Participants also reported that the structure and the pacing of the course were appropriate, and that the experience had met their expectations. The results related to changes in students’ knowledge indicate that the course was effective in increasing participants understanding of and ability to employ professional skills for communications, teamwork and leadership. Statistical analyses were conducted by creating latent constructs for each item as applicable and then running paired t-tests. The evaluation also demonstrated increases in students’ interest, knowledge and confidence of the professional skills offered in the course. 
    more » « less
  4. The Project-Based Scientific Research is a new interdisciplinary course developed by the National Science Foundation (NSF - IUSE) funded STEM center at _______ State University. The implementation of this new course was one of the major three goals for this five year grant to strengthen the STEM undergraduate research community at ______ State University by helping undergraduates who are interested in hands-on and/or scientific research. The course is designed to introduce undergraduate junior and senior science, engineering technology and math students to the vibrant world of real research; to build foundational skills for research; to help STEM students meet potential mentors whose research labs they might join with the goal of gaining experimental research experience while on campus. On top of course content and requirements the following goals are aimed for the student and faculty mentors to strengthen the research community; (1) helping undergraduate students who are interested in research connect with faculty partners who are committed to mentoring undergraduates in research, (2) to guide students in reading through papers that introduce the type of research being carried out in a faculty partners lab, (3) to guide students in drafting a mini-review of 5 papers relevant to that research, (4) to guide students in identifying and writing up a research proposal which they will complete in the lab of the faculty partner. The learning objectives for the students in this course are summarized as; (a) by the end of this course, all students build a foundational understanding of the principles of STEM research through the exploration and discussion of important historical interdisciplinary projects; (b) interact with faculty researchers who perform projects across STEM disciplines; (c) be able to describe the similarities and differences between experimental and theoretical STEM research; (d) explore and present several possibilities for future research topics; (e) design and present a research prospectus, complete with a review of some of the relevant literature; (f) and be prepared to continue a research project with a chosen faculty mentor or mentors. First year, six academic departments out of eight participated this new course by offering a cross-listed course for their students under one major course taught by one of the PIs at the STEM Center. All the details such as challenges faced, outcomes, resources used, faculty involved, student and faculty feedback etc. for this course will be shared with academia in the paper. 
    more » « less
  5. The devastation caused by recent natural disasters, such as earthquakes, tsunamis, and hurricanes, has increased awareness regarding the importance of providing interdisciplinary solutions to complex infrastructure challenges. In October 2018, the University of Puerto Rico received a Hispanic Serving Institution (HSI) collaborative award from the National Science Foundation (NSF) to develop an integrated curriculum on resilient and sustainable infrastructure. The project titled “Resilient Infrastructure and Sustainability Education – Undergraduate Program (RISE-UP) aims to educate future environmental designers and engineers to design and build a more resilient and sustainable infrastructure for Puerto Rico. This paper presents the design, initial implementation, and assessment of a curriculum encompassing synergistic interactions among these four domains: integrated project delivery, user-centered design, interdisciplinary problem-solving, and sustainability and resiliency. The project seeks to foster interdisciplinary problem-solving skills involving architects, engineers and construction managers, in order to better prepare them to face and provide solutions to minimize the impact of extreme natural environment events on infrastructure. The new curriculum stresses on problem-settings, the role that participants have on defining the characteristics of the problems that have to be solved, learning in action, reflecting on the process, and communication between the different stakeholders. This multisite and interdisciplinary program provides students with the necessary support, knowledge, and skills necessary to design and build resilient and sustainable infrastructure. This instructional endeavor consists of four courses designed to reduce gradually the difference between what students are able to accomplish with support structures and what students are able to accomplish on their own. To maximize and enhance the educational experience, the program blends a technology-infused classroom learning with broad co-curricular opportunities such as site visits, undergraduate research, and internships. As students advance in the program, they will be exposed and required to perform increasingly complex tasks. During the first year of the program, the following outcomes were achieved: 1) implementation of the faculty teamwork process to develop courses and analyze cases from an interdisciplinary perspective, 2) development and approval of an interdisciplinary curriculum on resilient and sustainable infrastructure, 3) development of case studies on situations associated with disaster and interdisciplinary responses, 4) development of a case study database, 5) establishment of an Advisory Board with government agency representatives and faculty, and 6) recruitment and enrollment of 30 students as the first RISE-UP cohort. In summary, the body of knowledge acquired from this project can serve as a model that can be replicated to develop and enhance academic programs at other institutions. 
    more » « less