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
education and introductory software engineering education.Dr. Janie M Moore, Texas A&M University Dr. Janie McClurkin Moore is an Assistant Professor in the Biological and Agricultural Engineering De- partment at Texas A&M University in College Station. A native of Columbus, Ohio, she attended North Carolina A&T State University where she received a B.S. in Bio Environmental Engineering in 2006. She then began pursuing her graduate education at Purdue University in the Agricultural and Biological Engineering Department, completing her Ph.D. in 2015. Her primary research areas include 1) myco- toxin risk assessment and treatment in stored grains and 2) innovate instructional strategies for Biological and
verbal explanations of learning activities. Students' learning outcomes are mainlymeasured by exam performance. Students' perceptions were studied through both quantitativeLikert-scale questions and free-response to open-ended questions. 1. IntroductionIn the history of Science, technology, engineering, and mathematics (STEM) education, one ofthe foundations for evidence-based pedagogy were models that derived from informationprocessing theory [1]-[2]. Although this theory had proposed active cognitive processes inmemory consolidation (e.g., elaborative rehearsal [1], central executive [2]) along with themultiple modules of memory (e.g., sensory memory, long-term memory), its implementation inclassroom settings often resulted in emphasis in
. 4MethodsOur primary research questions aim to answer the following questions: (1) Do oral examinationscause excessive stress to students in comparison to written examinations? (2) Whichdemographic of students are more likely to be stressed by oral exams? Thus, our surveys focusedon determining if excessive stress was experienced by the students.Participants: Data from 451 undergraduate students across six courses from two engineeringdepartments (Electrical Computer Engineering, Mechanical and Aerospace Engineering) havebeen collected for the analysis in this paper. Students were asked to fill out the post-classquestionnaire online on a voluntary basis and therefore the retention of the student responsesdiffered by the research topic and the time
Engineering Depart- ment at UC San Diego. He received his Ph.D. in mechanical engineering from UC Riverside in 2012 and holds M.S. degrees in mechanical and electrical engineer ©American Society for Engineering Education, 2023 The Impact of Oral Exams on Engineering Students’ Learning 1. IntroductionOur project, entitled “Improving the Conceptual Mastery of Engineering Students in HighEnrollment Engineering Courses through Oral Exams”, aims to advance the knowledge andunderstanding of the potential impact of oral exams on engineering students’ learning and theirlearning experience. Prior research suggests that the adaptive dialogic nature of oral exams haspotential benefits for both instructors and
the regular curriculum [1]. These programscome in two flavors: voluntary or required. Remedial programs that are required can enhanceparticipation but add stigma. For this reason, participation is often elective. However, when theseprograms are voluntary, they rely on students’ motivation, their beliefs about the usefulness andimpact on themselves as learners, and free time for engagement. In addition, early interventionprograms are often generic, i.e., not specific to a major. While having the potential to support abroad range of students this way, these generic programs are often avoided because studentsassume they will be irrelevant to their discipline [2]. As a result, they may not exhibit the desiredtransfer learning outcomes [3]. When
engineering organizations. Lessons from this studywill also guide other researchers who study similarly complex mental models in engineering.Keywords: ethics; engineering ethics; diversity; equity; inclusion; mental modelsIntroductionABET accredited engineering education programs require that students develop “informedjudgments, which must consider the impact of engineering solutions in global, economic,environmental, and societal contexts” [1]. Yet there are numerous views regarding what ought tobe the aims of engineering education [2, 3] and which instructional approaches ought to beimplemented towards these aims [4, 5]. Similarly, ABET recently included Diversity, Equity,and Inclusion (DEI) in their general criteria for accredited programs [6
Bioinstrumentation LecturesIntroductionThe COVID-19 pandemic has severely disrupted higher education. The 2019–20 NationalPostsecondary Student Aid Study indicated that 84% of all undergraduates have experiencedsome of their classes moved online in Spring 2020. [1] Compared to in-person delivery, studentshave reported lower satisfaction level [2], lower motivation, [3], and lower engagement [4] withdistance delivery. Many institutions transitioned back to in-person delivery since Fall 2021,however, attendance and student engagement fell in our affiliated universities compared topre-pandemic levels. Revision to the curriculum, especially core courses with heavy lecturecontent, became necessary for retaining students. Problem-based learning (PBL) is astudent
. ©American Society for Engineering Education, 2024 1 Session XXXX3D Shakespeare: A Transdisciplinary Activity to Enhance Real-World Learning Experience in Engineering and Humanities Education Xiaoyi Zhang Department of English University of Texas at San Antonio Ana Aviles Vargas, Gongchen Sun Department of Biomedical Engineering and Chemical Engineering University of Texas at San Antonio
. ©American Society for Engineering Education, 2024 1 Session 2024 A Design Framework for Screenless User Interfaces Christian Daftarian, Ozgur Aktunc Department of Engineering St. Mary’s University AbstractSoftware GUIs (Graphical User Interfaces) are becoming more software-centric and less hardware-dependent with each passing decade. If GUIs continue to evolve in this same direction over the nextfew years, we should expect to see GUI technology