the Hokie Supervisor Spotlight Award in 2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean’s Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10
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
. (2019, June). Intercultural competency differences between US And central asian students in an engineering across cultures and nations graduate course. In 2019 ASEE Annual Conference & Exposition.11. Sanger, P. A., Ziyatdinova, J., Kropiwnicki, J., & Van Nguyen, P. (2015, June). Changing Attitudes in Cross-Cultural Diversity Through International Senior Capstone Projects. In 2015 ASEE Annual Conference & Exposition (pp. 26-341).12. Ziyatdinova, J., Bezrukov, A., Sanger, P. A., & Osipov, P. (2016, June). Cross Cultural Diversity in Engineering Professionals—Russia, India, America. In 2016 ASEE International Forum.13. Imbrie, P. K., Agarwal, J., & Raju, G. (2020, October). Genetic Algorithm Optimization
methods. I am also contributing to a research project sponsored by the US Department of Energy, in which I am assisting with the solid mechanics modeling of moisture swing polymers for use in low-energy carbon capture. For my senior capstone, I led the development of a theoretical offshore wind farm for the 2022 Collegiate Wind Competition, and helped our team earn second place at the competition. This experience led me to become the current president of NAU’s Energy Club, where I now manage two interdisciplinary engineering teams who are working to complete the Collegiate Wind Competition and Hydropower Col- legiate Competition. I am also the president of NAU Skate Club, which I founded this semester in order to
culture has capital? A critical race theory discussion of community cultural wealth,” Race Ethnicity and Education, vol. 8, no. 1, pp. 69–91, Mar. 2005, doi: 10.1080/1361332052000341006.[5] S. Howe, S. College, and D. Kotys-Schwartz, “Research Methods for the Capstone to Work (C2W) Project”.[6] S. Sin, “Considerations of Quality in Phenomenographic Research,” International Journal of Qualitative Methods, 2010.[7] Appalachian Regional Commission 2022 Performance & Accountability Report, 2022,https://www.arc.gov/wp-content/uploads/2022/11/FY-2022-Performance-and- Accountability-Report.pdf[8] Lent, R. W., Brown, S. D., & Hackett, G., “Toward a unifying social cognitive theory of career and academic interest
that our perceptions of reality are socially constructed andthat by focusing on positive stories and experiences, particularly from people whose identitiesare marginalized, we can create a more positive reality in work and learning environments [4].Despite its prominence for over two decades, it is unknown to what extent APPI has been used inengineering education research. Further, there is limited to no evidence of utilizing APPI as aneducational intervention.1.1. APPI as a Research Methodology vs InterventionAs a part of an early-stage research project on evaluating the impact of asset-based practices inundergraduate engineering courses, we employed appreciative interviewing to elicit studentexperiences in applying their assets to projects
inlaboratories can be perceived as more valuable if the laboratories are better linked to futurecareers in industry. This is shown in the second selected response, where the student understandsthat the tests they have conducted are applicable in their future career, but shows uncertainty as tospecific applications in research and industry. This conclusion is also supported by Figure 1,which shows that students want more links to industry in their laboratories.However, it should be noted that these students have not undertaken the internship experience thattypically occurs in the surveyed program between their third and fourth years of study, or the finalyear capstone project that has numerous opportunities for students to partner with industry and
. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are
different situatedlearning experiences can influence lifelong learning orientations (attitudes and values related tolifelong learning). There is wide awareness that the engineering profession has a role to play inaddressing global socio-technical problems such as climate change and digital misinformation[1]. At the same time, rapid technological change and other shifts in the labour system mean thatengineers’ workplace responsibilities and career paths are prone to uncertainty and precarity [2].As will be discussed, lifelong learning competencies can enable individuals to navigate thesechanges and challenges in their individual career trajectories and to make innovativetechnological contributions. As part of a curriculum realignment project in the
to be more efficient in my time management. It reallyhelped that our advisor gave clear weekly targets and expectations.One such experience about time management sticks out above the rest: there was a week when Iwas waist-deep in work on my Capstone project. I was tasked with 3D modeling a motor box fora rotating wire system. Creating the 3D models for this design ate up most of my time that weekand I still needed to get my responsibilities done for the research. To help get my work done thatweek I had to create a schedule for myself on which times I would allocate solely for research.Creating this schedule helped me be more on track for the tasks I had been assigned that week aswell as a continued time frame that I would always put towards
a necessity. This is especiallytrue in STEM disciplines, where students often need to work in diverse environments upongraduation. Studies have demonstrated that STEM students find it challenging to work with adiverse population. This is juxtaposed with the reality that over 50% of STEM employers preferto hire interculturally competent graduates. As such, national agencies and higher educationinstitutions have been urging STEM faculty to integrate intercultural competence into thecurriculum. Through this study, we intend to showcase the integration of interculturalcompetence concepts in a first-year cybersecurity classroom. The pedagogical framework for thecourse is project-based learning. The Intercultural Knowledge and Competence (IKC
and project management from industry and government settings.Dr. Jessica Koehler, Wake Forest University Dr. Jessica Koehler is the Senior Research Scholar for the Wake Forest University Program for Leadership and Character in the Professional schools. In her role she also supports with the development and assessment of character and ethics education in the engineering program.William N. Crowe, Wake Forest University ©American Society for Engineering Education, 2024 Enhancing Knowledge Surveys with an Intellectual Humility ScaleAbstractAs engineering education and related research evolve, it is also important for assessment toolsand research
ErrorsHaving been edited since the original draft publication (Sottile, 2023), the first ethics scenariopresented respondents with a scenario featuring the issue of concealment of errors. Thequantitative portion of the first scenario prompt was: Please consider the following scenario when answering questions on this screen: Imagine that you are a junior engineer working under the direction of a senior licensed professional engineer (P.E.) with many years of experience in bridge design. During a late- stage design review, significant concerns were expressed about the team’s design possibly leading to an unacceptable level of vibration. The P.E. overrules the concerns without discussion and prepares the bridge design for delivery to the project sponsor
participant, but they will also gatherpersonal documents and observe their actions to fully understand their experience. In the caseof education, narrative analysis can be used to understand a group of students' experiences in acertain class, project, or discipline.Kellam et. al's [13] study expands on Polkinghorne's [20] narrative analysis and analysis ofnarratives by testing three data synthesis methods specific to engineering education research.The first method, thematic analysis, is focused on interpreting data to produce themes relatingto the topic of interest. In this method, the researcher's themes are embedded throughout thepresentation of the narrative, providing the reader with a clear depiction of the researcher'sinterpretation. The second
Consultants to assist engineering undergraduates with technical reports. She publishes and presents research in two fields: engineering ethics and writing, and literature.Dr. Hyesun You, The University of Iowa Hyesun You, Ph.D., is an assistant professor in the Department of Teaching and Learning. Before joining UI, Hyesun worked as an assistant professor at Arkansas Tech University. She also previously served as a post-doc fellow at New York University and Michigan State University, where she participated in NSF-funded grant projects. She earned her BS in Chemistry and MS in science education from Yonsei University. Her MEd in quantitative methods and Ph.D. in Science Education at the University of Texas at Austin
been used by researchers to understand how teaching andlearning occur in classrooms [22]-[27]. In the context of engineering education, classroomobservations have become more common to conduct research related to curricular practices [28].As our research questions centered on how engineering practices were taught and understandinghow classroom time was utilized, classroom observations served as an ideal method throughwhich to collect data.To guide the data collection, the project leadership team (EM, LL, JLM, and SD) developed anditerated an observation protocol. The observation protocol consisted of 35 practices, which weredrawn from literature on engineering competencies [1], [5], insights from student interviewsprobing the emphasized skills
test, while there was nostatistically significant difference between the two interventions for the retention test. The VRlesson was also found to result in higher emotional arousal and lower cognitive engagement. Theauthors suggested that the excessive emotional arousal caused by VR high immersion distractsthe learner from cognitive processing of the information. On the other hand, Lai et al. resultsindicated that students using AR perceived a significantly lower extraneous cognitive loadcompared to those who learned with conventional multimedia [49].There were mixed results in terms of student preference. While students preferred the AR morein [37] and [49], projection-based VR with TV screens was found to be preferred by students inthe study
classstructure and teaching practices allows researchers and instructors to determine how to augment aclass for a clearer and easier learning experience.There are many related articles that focus on at least one of the domains of learning for engineeringstudents; however, most have different focuses or are not directly applicable to this paper’sresearch. For example, many related studies were testing or creating a tool used to evaluate a class'sability to teach with one or more of the domains, versus testing how to better teach one or all ofthe domains or discover how students learn with each domain [8-13]. One of these studies createda teaching template for schools so they are more aware of what engineering students should learnduring their capstone
study created ateaching template for schools so they are more aware of what engineering students should learnduring their capstone research [15]. Another study tested the program EvalTOOLs 6 to determinehow well a class performed in connecting to each of the three domains and how it may be helpfulfor determining which domains need more development [13]. A related study tried to evaluateeach hierarchical level with an analysis of students’ grades [6]. Other studies attempted to developnew analytic tools to evaluate students learning with the cognitive domain [7], [14].Another related study focused on testing a few hierarchical levels instead of reviewing learningthrough all of the hierarchical levels of the cognitive domain [8]. One article