, their rolesshift toward broader responsibilities, necessitating different skillsets. Despite these findings, theauthors define lifelong learning narrowly as the ability to seek knowledge when gaps arerecognized and do not connect their findings to an underlying need for effective lifelong learningorientations.Lutz and Paretti [26] have highlighted similar learning challenges faced by graduates as theytransition to the workplace. While engineering jobs focus on technical problems, learning occurswhen graduates adapt to new contexts and align complementary skills (such as communicationand project management) with their workplace. Preparing graduates to direct their lifelonglearning capabilities towards technical, social, and cultural challenges
the mostpapers were published, and the most cited papers. Analysis of the co-occurrence of the keywordsused in these papers was performed to identify the previous research focus areas and proposefuture research directions related to the use of AR in CM education. Current state of the art of theAR use in CM education includes virtual site inspections, simulating construction sites, three-dimensional (3D) construction project visualization, collaborative learning environments, andinteractive training programs. Future research on AR-based CM education should investigate theimpact of AR on students’ performance and knowledge retention; the effectiveness of using ARapplications in a user-friendly environment where all students feel supported and
todescribe the job titles and roles for biomedical engineers working to develop a new medical device.The average number of codes, each representing a unique job title or role in industry, generallyincreased from cohorts 1 to 4, where students in cohorts 1, 2, 3, and 4 named on average 0.28 ±0.18, 0.43 ± 0.15, 0.69 ± 0.14, and 0.91 ± 0.02 codes, respectively (Figure 1B). Research anddesign engineer was the most named job title/role by students across cohorts; however,project/program manager, manufacturing engineer, design quality engineer, and clinical fieldspecialist were also named, albeit at a lower frequency (Appendix D, Table 7). Importantly, manystudents in cohort 1 (82%) and cohort 2 (83%) specifically reported in their survey responses they
Paper ID #44241Model-Based System Engineering Applied to Designing Engineering Labs toDynamically Adapt to Industry Trends - Case in Point: The Mechatronics,Robotics and Control LabPallavi Singh, University of South Florida Pallavi Singh received a bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Dev Engineering College (GNDEC), Bidar, in 2016 and a master’s degree in Electrical Engineering from University of South Florida, Tampa, FL, USA, in 2019. Pallavi worked as a data science engineer, embedded system engineer, computer vision engineer, system engineer, project manager, and systems
GovernorAsa Hutchinson made headlines in 2015 with the enactment of new legislation requiring allArkansas public high schools to offer at least one computer science course. At the time, only afew states had implemented such requirements, and Information Technology & Informationestimated that computer science courses were offered at only one in ten schools nationwide(Armitage, 2015). The same Arkansas legislation, Act 187, also called for the establishment of astatewide task force to oversee the project and declared the overall lack of graduates withcomputer science skills to be a public emergency (Arkansas State Legislature, 2015). In late2020, the Arkansas Board of Education adopted new rules for the 2021-22 school year thatemphasized computer
assignments, projects, and exams. Our primaryobjective in this paper is to thoroughly examine ChatGPT within the context of educationaltransformation, encompassing teaching, student learning, and the ethical dilemmas it raises. Toachieve this, we used a case study methodology, focusing on courses within the field of ComputerScience. Our investigation delves into the various ways ChatGPT can support different modes oflearning and assesses its potential to enhance academic performance. We also seek to determinethe extent to which students using ChatGPT may excel in their exams and assignments. Weconclude by sharing the outcomes of our study, offering insights into the types of assessmentactivities where ChatGPT can provide solutions, and identifying
associated training on how to teach. Teaching can bedifficult if you are not fully aware of the different dimensions associated with it. Engineeringdoctoral students who look to enter academia after graduation are incentivized to take a research-first career, though they likely would also be in instructional positions. However, some doctoralstudents go out of their way to gain experience as course instructors. In a survey of engineeringdoctoral students, a subset of the respondents reported being uninterested in working in theprofessoriate, and among that group, a small portion of them were uninterested due to theirperceived lack of ability to teach. This research project aims at understanding engineering doctoralstudents’ perceptions on their
our students with the essential knowledge and skills necessary to excel inthe ever-advancing materials engineering industry. The collective curriculum review exercisesought to evaluate the existing curriculum, identify gaps and areas for improvement andaddress future needs of the materials engineering industry.Gathering relevant stakeholders’ input is a crucial element to guide this endeavour. Supportedby an education grant, this project, thus, aimed to survey and consult various stakeholdersincluding students, educator (faculty), alumni and employers on their feedback about theexisting Materials Engineering curriculum and their views of the future developments inMaterials Engineering industry. Subsequently, this study forms the basis for
thesignificance of connecting these experiences to students’ academic and professional goals,promoting a reflective and meaningful learning journey.IntroductionEngineering education in the 21 st century faces a distinctive challenge in adjusting to a swiftlyevolving technological landscape, where ideas and innovations transcend geographical bordersand distances. Numerous major technological companies in the United States maintain robustglobal presence across their business, research, development, and production sectors, andengineering projects and teams often collaborate across multiple countries and culture. Eventhough technical expertise remains crucial, engineers must possess skills such as globalawareness, effective communication across diverse
conciseinterface; 3) extensive functionalities, including code compilation, project organization, andsupport for multiple languages; 4) mainstream adoption among professional software engineers,bridging the gap between classes and future careers.We have identified Microsoft Visual Studio Code (VS Code) as the preferred option. Byintegrating VS Code with a selection of extensions, it becomes an IDE that incorporates all fouraforementioned features. Additionally, VS Code has been widely adopted in many advancedcourses in our department, including operating systems, compiler constructions, computernetworks, and others. However, it has not received significant attention to CS1 courses.Furthermore, based on our study of 20 computer science departments, none of
modules and activities were introduced in first-year Biology courses [10],a project-based seminar on qualitative research [11], and Psychology courses focused on robustand reproducible research methods [12], [13]. Furthermore, The Collaborative Replications andEducation Project [14] and The Hagen Cumulative Science Project [15] implemented projectsaround replicating existing research in undergraduate education. The increasing effort andawareness around Open Science and reproducible research in undergraduate education inspires anew approach to undergraduate courses that introduce fundamentals of research. This approachintroduces broad research practices while simultaneously addressing Open Science practices andtools that enhance reproducibility
theoreticalconcepts in practice.1. IntroductionThe use of hands-on learning devices is a well-accepted instruction method in the active learningdomain [1-6]. It allows students to engage directly with the subject matter which enhancesunderstanding, retention, knowledge, and skills. In addition, hands-on devices provideopportunities to apply theoretical concepts in real-world scenarios that help students bridge thegap between theory and practice, allowing learners to develop practical skills and gain valuablereal-life experiences. Moreover, hands-on projects often involve tackling real-life problems thatnurture critical thinking, problem-solving, and decision-making skills as learners navigate throughobstacles and seek innovative solutions. Furthermore, hands
maintenance workload, and promote the reuse of ontologyknowledge across different projects within the aerospace industry [26]. Moreover, Arista et al.(2023) presented an ontology-based engineering system for aerospace manufacturing as acountermeasure to the deficiencies in existing Reconfigurable Manufacturing Systems (RMS)design approaches within the aerospace sector [27]. They illustrated the use of ontologies incollaborative engineering for the aerospace RMS design and highlighted its prospectiveimplementation in practical scenarios.Researchers have also employed ontologies in materials design databases that could be used inaerospace engineering. Li et al. (2020) introduced the Materials Design Ontology (MDO) toaddress challenges in the materials
professional skills acquired from education and needed inthe workplace [7]. In this context, professional skills are defined as “skills essential to thrive in awork setting but not historically included in engineering or engineering technology coursework.”The nine professional skills surveyed were: communication skills, emotional intelligence,teamwork and multidisciplinary work, curiosity and a persistent desire for continuous learning,project management, critical thinking, self-drive and motivation, cultural awareness in a broadsense, high ethical standards, integrity, and global, social, intellectual and technologicalresponsibility. Results showed that nearly 59 percent of respondents felt unprepared inmanagement and business skills, 60 percent in
whenspecific questions suitable for a more targeted systematic review are yet to be determined. Thegoals of a scoping review include identifying available evidence in a field, clarifying definitionsand key concepts, pinpointing knowledge gaps, and acting as a precursor to a systematic review(Munn et al., 2018), which align closely with the objectives of our project. Consequently, a scopingreview was considered a more suitable methodology for our project given the relatively unexplorednature of our focus, sense of belonging in STEM higher education, and the need for a more refinedfoundational and comprehensive understanding of the subject. Methodologically, a scoping reviewshares several processes with other systematic reviews, as both methodologies
students to ask questions about course-related material [6, 17-20]. Themost common interventions to increase SB in engineering majors are related to the technicaldiscipline. Not surprisingly, most engineering education interventions reported in the literaturetarget first-year engineering women and first-generation/low-income students to increase theirSB and engineering identity. Some intervention examples to retain this population of studentsinclude faculty and peer-mentoring, participation in internships with local STEM companies[21], interviewing a person of color in STEM [22], use of makerspaces for completing designprojects [23], summer bridge programs [24], first-year engineering student success course [25],and sociotechnical design projects
-year anniversary retrospective survey to former students in2019 to inquire about the value of the course for their academic and professional careers. Now,we are embarking on a project to formally evaluate the course content and its direct impact oncurrent students, particularly their leadership skills with regards to DEI in engineering, to informour next course redesign process. As part of the long-term goals for our project, we want toevaluate the impact the redesigned course has on students’ leadership development, both in theirremaining academic careers and their future professional careers.This work-in-progress practice paper presents the preliminary results of the first phase of ourcurrent project. In this first phase, we evaluate the
service learning program where students work on acommunity service project for course credit19,20. Service learning can also be implemented on avolunteer basis through student organizations21, which relies on students’ innate desire to helpimprove communities22 instead of as a requirement for a course. Studies have shown that servicelearning benefits retention, community service after graduation, and civic responsibility23, has apositive impact on tolerance, personal development, and college connections24, attractsunderrepresented groups through community-based projects18,25, and can help create leaders inengineering26. Service learning can also create a deeper understanding of the subject matter24.Helping maintain the green roof can provide
when possible. When possible, based on theresearch interests of the students and faculty, CCLSRM students were paired with REU studentsin the same lab, otherwise the CCLSRM students were grouped together in the same lab. Studentswere also placed in the same lab as faculty with similar backgrounds when appropriate. Afterassigning the students an advisor it was left to the advisor to develop a project for the student thatfit their background and research interests. The program remained involved outside the lab byengaging with the students weekly for weekly research meetings, hosting an industry visit, andconnecting students to professional development dinner and dialogue sessions offered by theUniversity of Arkansas for all REU programs on
prominent example forother educational systems in improving their approach to instructional development.In piloting this assessment approach in the School of ECAM, the grant project team had toconstruct a peer evaluation process composed of seven faculty members who were handpickedbased on their backgrounds and how comfortable they were with the ECAM curriculum. Thegroup was split among two teaching modalities; lecture-based and flipped classroom [1]. Thiscreated an observation team for each focus area. The observed faculty were not a part of thegrant team and were picked to be observed based on convenience and willingness for the pilot.Although there are many benefits to the College adopting this faculty development process, thereare lessons to be
Paper ID #42620A introductory-level, student-taught biomedical neuroengineering course for1st year undeclared engineering undergraduate studentsNyota Prakash Patel, University of VirginiaDeepika Sahoo, University of VirginiaDr. Shannon Barker, University of Virginia Dr. Shannon Barker is an Associate Professor and Undergraduate Program Director at UVA BME ©American Society for Engineering Education, 2024Background and MotivationEngineers are required to conceive, design, and maintain products, processes, and systems acrossmany sectors to meet societal needs [1]. Projects often require training in fundamentals andacross
2020. The majority, constituting 41%, is allocated to debugging. Due to theuncertainty in the debug time and the time requires to fix the bugs, the debugging process hasgained the nickname of the Schedule Killer [10], highlighting its impact on the project scheduleand the company’s bottom line. 1 In this paper, we interchangeably refer to verification engineers and validation engineers. Design Engineers Verification Engineers 12 10 Design Projects 8 6 4 2
to enrollment in engineering majors. Perceptions of pre-college robotics focused oncompetitions can prevent some students from participating. By broadening the applications ofrobotics to human-centered designs and bringing soft material robotics into classroom curricula,the field of soft robotics may be a platform to engage a diversity of students in K12 robotics andlater, engineering majors. Until recently, most soft robotics work resided in university researchlabs or as K12 activities presented through practitioner-delivered outreach events. Until softrobot activities are put in the hands of teachers, their reach remains limited. In this project, weleveraged teacher input to develop and deliver an introduction to soft robotics
privateuniversities to promote transfer capital and student engagement in STEM transfer students. There are fourobjectives of the project. The first objective is to increase the number of academically talented and low-income students that transfer from community colleges to four-year institutions. The second objective isto improve the retention and graduation rates of CC transfer students in STEM fields byproviding them with evidence-based curricular activities, co-curricular activities, and support services.The third objective is to increase the number of students placed into STEM graduate programs orprofessional positions by providing intensive faculty mentoring and research opportunities. The finalobjective is to generate new knowledge about how
Paper ID #41661Board 43: AP-CS, ChatGPT and Me: a High School Student PerspectiveDr. Zoe Wood, California Polytechnic State University, San Luis Obispo Whether it is creating computer graphics models of underwater shipwrecks or using art and creativity to help students learn computational thinking, Professor Zoe Wood’s projects unite visual arts, mathematics and computer science.Miguel Manoah Refugio Greenberg ©American Society for Engineering Education, 2024 AP-CS, ChatGPT and Me: a high school student perspectiveAbstractWith the creation of openAI’s ChatGPT system, a problem has arisen in
Paper ID #41530Designing A Student Success Framework with Zachman ArchitectureMr. Benjamin Edward Chaback, Embry-Riddle Aeronautical University Benjamin (Ben) Chaback is a master’s thesis student in systems engineering and currently serves as the Program Coordinator of Undergraduate Research at Embry-Riddle Aeronautical University. He uses modeling and systems architecture to investigate undergraduate engineering education and is working towards creating sustainable systems for student success. Ben is a member of the Council on Undergraduate Research and is a facilitator for the Safe Zone Project and the Center for the
engineering education, design and manufacturing, automation and robotics, machine learning/deep learning, computational optimization, and mariner and offshore safety.ROBERTO G DIMALIWATPeter Weber, University of HoustonMs. Dua Chaker, University of Colorado Boulder Dua Chaker is a Senior Project Engineer at TeachEngineering- a free online collective of K-12 STEM resources – within the National Center of Women & Information Technology at the University of Colorado Boulder. Dua graduated summa cum laude from the University of Colorado Boulder in 2013 with a Bachelor of Science in Civil Engineering. With a career spanning over a decade, Dua has been an integral part of the TeachEngineering team since 2011. She leads the
Intersection of Roles, Responsibilities, and Care in Engineering Graduate EducationMotivationWhether in response to the mental health crisis or the widespread inequities and discriminationwithin engineering graduate programs, the graduate engineering education community needs totake targeted action to create change and healing from standing systemic issues. Research inengineering graduate education, up to this point, has focused almost exclusively on studies ofstudent experiences, advisors, and departmental policies. Yet, the graduate education system iscomposed of many more stakeholders who impact and are impacted by graduate student mentalhealth and wellbeing. This collaborative research project focuses on one such
into the 1effectiveness and reception of the new approach. Our evaluation of this novel tech-nique shows its potential in boosting student understanding. Using this strategy,students not only intuitively understand the FTOC, but also indicate a favorabilitytowards visual learning modalities. Based on feedback from 58 students, 69% deemthe comprehension of the FTOC as “important” or “very important”, and 81% prefervisual learning approaches. It is crucial to highlight that this project is still a work in progress. It is notintended to replace traditional textbook chapters or topics; instead, it serves as asupplementary tool for both educators and learners. Our goal is to assist instructorsin
among them are prioritizing students’interests and navigating curriculum when the content of the curriculum falls outside teachers’backgrounds and experiences [3]. This study explored the perspectives of teachers and curriculum developers involved inan afterschool program for high school students focused on Robotics, Automation, and Designfor Sustainability (SUPERCHARGE). The purpose of the NSF funded afterschool program wasto support student access to STEM career pathways for those of marginalized groups in threehigh schools in different neighborhoods in a large urban school district in the U.S. This studytook place during the first year of the project where curriculum was being developed by facultywith the support of undergraduate STEM