Basson, Ph.D. 1 and Colleen E. Bronner, Ph.D. 2 1Lecturer, Department of Civil and Environmental Engineering, University of California, Davis 2Associate Professor of Teaching, Department of Civil and Environmental Engineering, University of California, Davis Background Cultural Humility in Graduate Civil Engineering Education➢ Engineering students are actively engaging and addressing global
co-processor for specific parallel work off-load, sowill quantum computers, providing a QPU (Quantum Processing Unit). In this paper the methodsfor helping students deal with the triple challenge of learning parallel programming, writingcorrect code for any scale, and verifying scalability are presented along with new methods toincorporate quantum computing as another hybrid option. The paper provides details of how thetriple challenge can be extended to include the fourth challenge of advanced co-processingmethods. Techniques used are problem-based learning for mastery and contract-based projectswhere students demonstrate their achievement of key learning objectives.1. IntroductionBased upon prior work to improve Numerical and Parallel
morecomprehensive strategies and solutions to foster a positive, supportive, welcoming culture.Introduction:A positive and supportive academic culture in engineering education is crucial to studentsuccess. Culture has been shown to impact identity development, sense of belonging, academicachievement, social relationships, diversity, and retention [1]. The impacts of culture also extendbeyond the academic setting, impacting students’ overall well-being. A negative academicenvironment has been shown to induce feelings of stress, depression, and anxiety in students inSTEM. Interpersonal support from faculty can aid in ameliorating these feelings spurred byadverse learning environments [2]. Mentorship, positive interactions, and effectivecommunication from
developimprovement strategies. These steps are: 1. Define the problem explains details of a particular challenge in a system, as well as all (re)design requirements necessary to improve the system. 2. Develop the solution describes ways of solving a certain problem in a system and (re)design components to improve the system. 3. Collect the evidence relates to measures utilised to evidence the validity of solution(s) to the problem(s). 4. Make the case explains facts and arguments to improve a system and deliver solutions to the problem(s). 5. Manage the plan demonstrates a detailed proposal for delivering solution(s) to the problem(s) in the system. 6. Agree the scope describes the context and
. Most beams and slabs are continuous with three or morespans.System Layout and DesignTo present and teach the system approach of Reinforced Concrete design, a class project is oneway to do it. At a minimum, a three-story building is recommended and consists of enoughelements that work together to reflect a system behavior approach. Students should beassigned in groups of 3 or less to achieve such a task. Figure-1 presents such a system layout forstudents to study and design. Figure-1The system is initially analyzed for gravity load (dead load plus live load). Then at a later stagein design, the lateral loads generated from seismic activities are introduced. With buildingsystems designed from top to
study were: (1) What factors enable or hinder theadoption of ChatGPT in embedded systems design education contexts?, and (2) How canChatGPT be best implemented in embedded systems design education contexts? This researchemployed a structured intervention that integrated pre-planned activities involving ChatGPT intothe coursework, as well as allowing students to develop their own ways to use ChatGPT onassignments. Qualitative and quantitative data were collected through observations, surveys, andinterviews, allowing for a review of the tool's impact on student learning. Students were giventhe opportunity to utilize ChatGPT for assignments, provided they reflected on their choice touse ChatGPT or not. Thematic analysis of the interviews and
thenorthern part of Sumatera island in Indonesia. To help with this pilot project, they recentlyestablished a partnership with Cal Poly to conduct the power flow studies to verify the properoperation of the proposed system as well as proper equipment sizing.Project DescriptionFigure 1 summarizes the project with its associated tasks. There are two major sub-projects, eachbeing undertaken by a graduate student, and advised by a faculty member. For each sub-project,the student will have to first develop a computer model of the proposed system and then simulatethe model to study and analyze the operation of the proposed system. The project started in April2023 and will conclude in April 2024. One important component of the project is the progressreport
resources that must be consumed in a regular cadence (weekly) but do not have a specific online class meetingtime.Table 1. ABET-1 and ABET-7 Student Program Outcomes ABET-1 An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics ABET-7 An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. The Covid-19 pandemic hit early in the Spring 2020 semester. ASU’s response to the pandemic was rapidand massive. For ground and online programs like software engineering, the response included synchronous modalitieslike Zoom, but also leveraged the assets pre-existing for the online program. Delivery to online students largely1
that students weremore engaged and asked more questions during Nearpod lectures. During the Nearpod lecturesstudents asked 2-3 times as many questions as the non-Nearpod lectures. Survey results showedthat the students overwhelmingly rated Nearpod as helpful to their learning and materialretention. Based on the results of the survey, Nearpod should be incorporated into all mycomputer science classes.1 IntroductionMany students think of computer science as a difficult topic to learn6,7. Teachers struggle toconvey the complex topics and dropout rates in introductory computer science courses arehigh6,7. Teaching today is made even more difficult by the fact that modern students are oftenlooking at their phones during class time. Some research
implementation considerations to maximize the benefit of oral exams as an assessmenttool, an intervention to promote deep learning, and a learning activity to increase studentsmotivation and self-efficacy. To address the scalability challenges, we also developed trainingmaterials to prepare assessors to adopt equity mindset and proper techniques to communicatewith students during oral exams. We also explored how to better prepare students for oralexams, both mentally and technically.In this workshop, we will: 1) Share findings from a three-year NSF-funded study on the impact oforal exams that have been implemented in several engineering courses multiple times over thethree years; 2) Describe various oral exam implementation models; 3) Discuss the
Development of a Laboratory Course in Industrial Power and Control for Electrical Engineers Leonard Hernandez1, Jacqueline G. Radding1, Taufik Taufik1, Darrick Baker2, Jason Poon1, and Ali Dehghan-Banadaki1 1 California Polytechnic State University, San Luis Obispo 2 Schneider Electric, USAAbstractAs the need for more complex electrical control systems grows, qualified individuals to designand maintain these systems become essential. Consequently, industrial sectors such MEP(Mechanical, Electrical, and Plumbing), have experienced rapid growth and
environments and for traditionally underserved students. ©American Society for Engineering Education, 2024 Enhancing Fundamental Math Skills of STEM Students Through Math Games InstructionThis study centers on implementing an intervention program aimed at addressing mathematicsremediation for engineering and computer sciences majors at University of Nevada Las Vegas(UNLV), as well as STEM students (pre-engineering and pre-science) at College of SouthernNevada (CSN). Examining data from the 2020-2021 academic year within a Southwest SchoolDistrict, it's evident that only 21% of high school students entering UNLV and CSNdemonstrated proficiency in math [1]. This issue is particularly