Engineering industry has long partnered with academia to guide universities anddepartments in producing engineers with skills that are valued in the workforce. Industries haveconsulted on curriculum [5] and research projects with real-world and industry use cases [6][7].In these cases, industry members share their knowledge about the skillsets they need employeesto have upon entry into the workplace. They may also directly provide research opportunities orguidance on research for projects that are of interest and importance to the company.Sponsor Literature in engineering education research has focused on the role of industry insponsoring discipline-specific technical research and projects [7][8][9]. While a lot of theseinstances involve
in engineering.MethodsThe authors are all women in engineering who have been in spaces where we are in the minority.At times, some of us have struggled with our own feelings of lack of competence or belonging inthe discipline.ParticipantsMaroon University is a small, private university in the southwestern United States. Participantsin this study were students from Maroon University who completed a Statics course during thesecond semester of their first year at their university. In addition to assignments from thetextbook, students in the course were asked to solve an open-ended question about a real device,the iWalk 2.0 Hands Free crutch. This question was assigned as a three-part project: anindividual homework assignment in which students
is an assistant professor of rhetoric and composition and the writing program admin- istrator at Embry-Riddle Aeronautical University in Prescott, AZ. His research on rhetorical theory, in- frastructure, and communication pedagogy informs his teaching of courses in rhetoric, composition, and technical communication in engineering.Elizabeth Ashley Rea, Embry-Riddle Aeronautical University - Prescott ©American Society for Engineering Education, 2023 Fostering Educational Equity in EngineeringAbstract: This is a research paper. Students in introductory engineering courses face challengescommunicating and integrating their ideas in team projects. Often these challenges with
Engineering education plays a crucial role in shaping the next generation of engineersand scientists (Agrawal & Harrington-Hurd, 2016; Brothy et al., 2008). Given its importance,research studies have sought practical ways to improve engineering education practices acrossmultiple dimensions (Crawley et al., 2007; Litzinger et al., 2011; Pizarro, 2018). Among theseefforts, there has been a long-lasting and ongoing focus on project- and team-based learning inSTEM and engineering education research (Felder & Brent, 2016; Kolar & Sabatini, 1996;Wankat & Oreovicz, 2014). Researchers found that project- and team-based learning practiceslead to favorable learning outcomes and behaviors, as well as effective cognitive and non-cognitive
Paper ID #43012Perceptions of Engineering College Instructors and Their Students TowardsGenerative Artificial Intelligence (GenAI) Tools: A Preliminary QualitativeAnalysisMr. Dhruv Gambhir, Nanyang Technological University Dhruv is a senior undergraduate student majoring in Computer Science at Nanyang Technological University (NTU) in Singapore. Actively engaged in Dr. Yeter’s Research Team, he specializes in projects at the intersection of engineering education and artificial intelligence (AI). With a unique perspective as an engineering student focused on AI, Dhruv is dedicated to enhancing engineering education in the
needs. As such, program leaders must work to (1) provideeffective, accurate, and personalized support; and (2) provide information and recommendationsfor curricular developments and resource management. Both efforts rely on a strong foundationof data to inform decision-making. As such, this paper describes the quantitative portion of alarger mixed-methods project, from which the authors identified initial baseline conditions ofstudents’ academic performance in the focal course and revealed potential influential factors asrevealed in a logistic regression model predicting the likelihood of a student to receive a passinggrade. Future plans for educational data mining beyond the focal course are discussed. This worksuggests some opportunities for
course, in which one of the learning objectives was the ability to workeffectively on a team to complete a semester-long design project. Data were collected fromapproximately 90 participants in each of two fall semesters and 50 participants in each of twospring semesters, for a total of nearly 280 sets of responses. Study variables were the fourTuckman team development stages.The questionnaire was administered at the 75% completion point of the semester, where it wasexpected that the teams would have approached the Performing stage, or were between Normingand Performing. The questionnaire results revealed that student teams were operating accordingto the Norming and/or Performing stages, which could be an indication of face and contentvalidity
level.INTRODUCTION The National Curriculum Parameters for Undergraduate Engineering Programs in Brazil,instituted by Resolution No. 2, of April 24, 2019, establish that every undergraduate program inEngineering have a Pedagogical Project for the Program which, in addition to ensuring thedevelopment of the competencies established in the profile of the graduate and to present the set oflearning activities in the curriculum, clearly specify and describe “[…] VIII – the process of self-assessment and program learning management that includes the instruments for assessing the skillsdeveloped, and the respective contents, the diagnostic process and the elaboration of action plans toimprove learning, specifying the responsibilities and governance of the
concept, bond with their peers over a sense of pride, or seek outresources to combat isolation.In this study, we designed a semi-structured interview protocol to explore undergraduatestudents’ perceptions of emotion in their engineering education. We interviewed 20 mechanicaland human factors engineering undergraduate students at a private university in the northeasternUnited States. We conducted a qualitative thematic analysis of interview data to address thefollowing research question: In what ways do emotions and learning intersect within theengineering education contexts of problem set sessions and makerspace project work?Conceptual FrameworkThis study is grounded in the emotional configurations perspective [10]. In this perspective
theoretical or analytical frameworks (e.g., from data science or complexity science) and (3) conducting design-based research to develop scaffolding tools for supporting the learning of complex skills like design. He is the Division Chair Elect for the Design in Engineering Education Division for the 2023 ASEE conference.Esther Komolafe, University at Buffalo, SUNY Esther Komolafe is an undergraduate Biomedical Engineering student at the University at Buffalo. Through- out her educational career she has applied herself to several different projects. She is currently working as a researcher for the Engineering Education Department at the University at Buffalo where she analyzes and qualitatively codes data. She has worked
"mathematization of space" in relation to making graphs. Fenner andO'Neill [10] had similar results from a project aimed at improving engineering students' abilitiesto analyze, interpret and communicate data. Their study found that engineering students in alinear circuits laboratory collected experimental data correctly but frequently failed to synthesizeand summarize the findings. Hadley and Oyetunji [11] found that engineering students maypossess the mathematical procedural knowledge associated with numeracy but are notnecessarily able to employ these skills in specific engineering contexts. While this researchexplores the QL of engineering students, no current instruments are specifically designed tomeasure the QL of engineering students.This work-in
many knowledge sources, practices, andmethodologies that inform how they design and conduct research and their future orientations inthe discipline. Both graduate student researchers co-designed with the end user to developprojects or products [1]. Graduate student researchers in engineering education constantly designresearch studies, tools, and environments with their advisors, peers, and other researchers.However, opportunities to co-design engineering projects with learners and educators are lesscommon for engineering education graduate students. Yet the work that graduate studentresearchers develop can influence K-12 educators and students and vice versa. Thus, graduatestudent researchers must have experience working with learners and
Table 1). 246 and 69 responses wereexcluded based on three criteria about technical work experience and research experience,respectively. NVivo was used to analyze open-ended responses to the PDS [48]. In vivo codingand descriptive coding were used to code the data related to all content topics (i.e., internships,co-ops, research projects, etc.) in our first coding cycle [49]. The first author coded the dataalone. The first author and the second author had regular meetings to review the codes anddiscuss data analysis. The codes were refined by consensus with the second author to ensurereliability.Table 1. Participant demographics. Co-curricular Gender College level Engineering discipline Total exp. Technical
).Dr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). Additionally, he is the Director of the World MOON Project, the Associate Editor of the IEEE Transactions on Education, and the upcoming Program Chair-Elect of the PCEE Division at ASEE. His current research interests include STEM+C education, specifically artificial intelligence literacy, computational thinking, and engineering.Shamita
Airbus in the retrofit of aircraft cabins with experience in project management, automation, airworthiness, and additive manufacturing. Her research interests leverage her experiences from industry and are centered on culture, team dynamics, and conflict management, as well as global engineering and art & creativity in engineering.Dr. Mark Vincent Huerta, Virginia Polytechnic Institute and State University Mark Huerta is an Assistant Professor in the Department of Engineering Education at Virginia Tech. He earned his PhD in Engineering Education Systems and Design at Arizona State University and has a BS/MS in Biomedical Engineering. Dr. Huerta’s research interests include exploring approaches to cul- tivating
Engineers (SWE) at SFSU. ©American Society for Engineering Education, 2024 Evaluating ChatGPT's Efficacy in Qualitative Analysis of Engineering Education ResearchAbstractThis study explores the potential of ChatGPT, a leading-edge language model-based chatbot, incrafting analytic research memos (ARMs) from student interview transcripts for use inqualitative data analysis. With a rising interest in harnessing artificial intelligence (AI) forqualitative research, our study aims to explore ChatGPT's capability to streamline and enhancethis process.The research is part of a mixed-methods project examining the relationships between engineeringstudents' team experiences, team disagreements, and
health and wellbeing in engineering education and their behavioral and cognitive problem-solving capabilities. He is actively involved in research related to the integration of positive psychological tools and methods in engineering education practice and research. Muhammad is also interested in the development and use of new technological and non-technological methods to enhance the learning processes of undergraduate engineering students. He is currently leading a second research project related to use of mobile learning technologies in undergraduate engineering education. This research is exploring available empirical evidence about the role mobile learning technologies may play in improving student accessibility
soon as possible after the class visit. Student observers were givenoptions for the submission of their reports. They could email the reports to the facilitator, emailthe reports directly to the observed faculty, or contact the observed faculty and set up a meetingto go over the reports with them.7. Post-Completion Survey: The questions in the pre-survey were reused for students, exceptfor the last one. Instead, they were asked this: “How has being part of this project helped youpersonally?” Faculty also gave feedback before the semester ended (only in Fall 2023; when ahigher number of faculty were involved) on how the student observer’s feedback was on targetand how helpful the process was, using a Qualtrics survey.Results and
, 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
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
participation in STEM education, sustainable energy, and material characterization. This work was conducted while he was a postdoctoral research associate in the Department of Engineering Education at Utah State University, Logan, USA.Prof. Kurt Henry Becker, Utah State University - Engineering Education Kurt Becker is a Professor in the Department of Engineering Education at Utah State University. His research includes engineering design thinking, systems engineering, engineering education professional development, technical training, and adult learning cognition. He is currently working on a USAID funded project in Egypt, ”Center of Excellence in Water”, and Department of Education funded GEARUP projects in the area of
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
“Describe how you Connect the Arts withEngineering in your Teaching”Code Example Quotes “When I'm having students write, even their technical research papers, we always talk about theWriting story of the paper and telling the story, which is inherently creative and artistic.” “Designing solutions that people want to use and incorporate into their life to add beauty as wellDesign as function.”Imagination & "[When a previously program I worked on was in operation, a] student built an interactive audio-Creativity kinetic tensegrity sculpture that they studied as a structural dynamical system for their thesis, and also used it for their final project in a
introduceinterdisciplinary topics in a variety of ways supported by the flexibility in homeschoolprogramming, like local cooperatives, online classes, local clubs, and STEM-focused museums[43].Extra- and co-curricular activities complement traditional schooling activities in both formal andinformal spaces. Sheridan et al. uses learning arrangements to describe the compositions of theseactivities, recognizing solo projects, collaborative group projects, equipment training, as labels tovarious making activities [44]. Studies have indicated the importance of students’ involvement inSTEM activities outside of school in developing a future interest in STEM [45]. Morespecifically, it has been found that while females tend to be more attracted to STEM throughschool
byreplacing the passive, teaching assistant (TA) led learning that happens in a traditional recitationsession with Peer-Led Study Groups (PLSGs) utilizing Treisman’s model of peer learning.Treisman’s model emphasizes small-group collaboration on the solution of difficult problems [2],[3]. In the PEERSIST model, thermodynamics students work on problems in groups of four tofive, as compared to a traditional recitation section size of 25.The project team initially piloted the PEERSIST model in Spring 2020 as an additional,voluntary hour of collaborative student problem-solving outside of students’ regularly scheduledcourse time. The pilot continued virtually over four semesters during the COVID-19 pandemic.Students in the pilot demonstrated higher
learning outcome identifier tags are used to link the questions on assignments, quizzes, projects,and exams to course outcomes and overall program outcomes. The goal of this pilot effort is to informimprovements to instruction, course design, course objective alignment, and program delivery. The tagdata collected from grading a given assessment is de-identified, cleaned, and entered in a SQL serverdatabase. This data is then processed in a Python-based visualization platform. BackgroundCourse- and program-level assessments help determine student achievement of learning outcomes andsupport data-driven decisions about instructional and learning improvements in courses and curricula. Atthe course level
education has recently been challenged as problematic, and infact prohibitive of an optimal learning experience [13]. These questions, taken together, led to thepresented work, which holds the course design, facilitator, and general student body the same overdifferent modalities (i.e., spanning different virtual deliveries, as well as an in-person comparisonpoint) of a lab-based measurement and instrumentation class.MethodsThis project considered student experiences and learning outcomes in an upperclassmen-level lab-based measurement and instrumentation class at Oregon State University, which uses a “lab kit-in-a-box” model. We collected data from versions of the course that varied instructionsynchronicity and setting, as further explained below
Master in Technological Innovation from Federico Santa Maria University (Santiago, Chile) and a BA in Design from Diego Portales University (Santiago, Chile). She is the Course Director of the Design and Digital Animation programmes at the School of Design and Creative Industries, San Sebastian University (Santiago, Chile)Ema Huerta Torres, Universidad Cat´olica de Norte Psychologist, Gestora Unidad de Innovaci´on Docentes de las Ingenier´ıas (UIDIN)Mr. Erick Vaclav Svec, Pontificia Universidad Cat´olica de Chile Erick is a project manager at the Engineer Education Unit and the Research and Innovation Unit at the School of Engineering, Pontificia Universidad Cat´olica de Chile. He is also an Adjunct Faculty member
his Ph.D. he began working in the Aerospace Industry where he spent over 10 years as a Stress Analyst/Consultant. At present he enjoys working on Distributed Electric Propulsion (DEP) with his students, designing, analyzing, constructing and flying Unmanned Aerial Vehicles. Dr. Nader won a few awards in the past few years, among these are the College of Engineering Award of Excellence in Undergraduate Teaching (2023), Excellence in Faculty Academic Advising for the College of Engineering and Computer Science (2020). In addition, he is also a Co-PI on the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High Impact Teaching
Cimino, New Jersey Institute of Technology Dr. Richard T. Cimino is a Senior Lecturer in the Otto H. York Department of Chemical and Materials Engineering at New Jersey Institute of Technology. His research interests include the intersection of engineering ethics and process safety, and broadening inclusion in engineering, with a focus on the LGBTQ+ community. ©American Society for Engineering Education, 2024 Initial validity evidence for a survey of skill and attitude development on engineering teamsAbstractThis research paper discusses an emerging project that 1) seeks to gather validity evidence for asurvey of engineering student teaming attitudes and skill