. This course encouraged me to consider a career in civil engineering. Motivation 6. I understand the relevance of the material to real-world challenges. 7. I believe what I learned in this course is important. Pedagogy 8. The lectures, readings, and assignments complemented each other. 9. Assignments were reflective of the course content. 10. Instructors clearly defined expectations for learning. 11. Instructors fairly assessed student learning (e.g., through quizzes, homework, projects, and other graded work).Evaluation of course knowledge growth from 2020-2023 is shown in Figure 1. The resultsindicate an overall highly
inflexibility; see, for example, [9]. The rigidity built intodegree attainment limits diversity within the engineering student body as a whole, and theLearning Loss experienced by incoming students multiplies these effects. It is not anoverstatement that an entire generation of engineering students could be lost due to a pandemic;and students traditionally underrepresented in engineering (namely women and underrepresentedminorities) are leaving at an alarmingly high rate. A reflection of the urgent need is a 2022National Science Foundation (NSF) Award to a partnership between the American Society forEngineering Education (ASEE) and the National Academy of Engineering (NAE) entitled“Engineering the Inclusive Mindset for the Future: A Blueprint for
Paper ID #42530Minkyung Lee is a doctoral candidate in the Department of Learning and Performance Systems at PennState University and serves as a Graduate Assistant at the Leonhard Center, an engineering educationcenter at Penn State. Her academic journey and professional contributions reflect her dedication to thefield of educational technology and design. ©American Society for Engineering Education, 2024Designing and Evaluating Virtual Reality Applications for a Machine Design Course IntroductionMachine design is an iterative decision-making process that requires students to select and assemblemachine elements to create a device that performs a desired task. A machine
, scalability can be achieved byholding the lectures in a large computer lab but usually these labs are set up for open access. As aresult, the flowerpots may need to be set up before each lecture and taken away after. Anotherpossibility is to hold multiple sections of the course with smaller section sizes.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.DUE-IUSE-2116226. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] P. Seeling, “Active learning moves programming students from novice to skilled,” https://www.pearsoned.com/active-learning
prioritize and schedule. We also gathered information about students’ experience of the workshop (the knowledge of the presenter, length of the session). Here we present the most salient results about student learning outcomes related to the workshop’s objectives. Learning Styles and Study Groups Workshop: The learning styles and study groups workshop seeks to increase student’s understanding of their results on the Felder/Solomon Engineering Learning Styles Index by learning about a) the different learning style indexes (e.g. active/reflective, visual/verbal, sensing/intuitive, and sequential/global), b) how these indexes manifest when learning new information, and c) what skills to use to adapt
theory, personalized learningpedagogies address the assumption that learners, especially college students, have an inherentneed to comprehend the purpose behind their learning endeavors, whether revisiting familiarconcepts or exploring new domains.Within the general framework of personalized learning, activities grounded in real-life scenariosenhance student engagement, particularly evident in fields such as robotics and computer science,where problem-solving and scenario-based learning align with adult learning principles. Derivedfrom andragogy, four key principles characterize adult-centered instruction and learning 10,9,11 :relevance to assignments, encouragement of critical and reflective thinking, acknowledgment andutilization of personal
) and do not necessarily reflect the views of the National Science Foundation.DeclarationsThis project is being conducted in accordance with research reviewed by Institutional ReviewBoards for Human Subjects Research at Clarkson University (Protocol 23-31) and the Universityof Colorado Boulder (Protocol 23-0344).References[1] American Academy of Environmental Engineers (AAEE), Environmental Engineering Body of Knowledge, Annapolis MD: AAEE, 2009[2] D. Grasso, Chair; Environmental Engineering for the 21st Century: Addressing Grand Challenges. Consensus Study Report. Washington DC: The National Academies Press, 2018. https://doi.org/10.17226/25121[3] L. Blaney, A. MacKay, D. Rodrigues, K. Nelson, “Results from the 2022-2023 member
sequences: A review and analysis,” Stud. Sci. Educ., vol. 47, pp. 123–182, Sep. 2011.[12] C. B. Zoltowski, W. C. Oakes, and A. E. Cardella, “Students’ ways of experiencing human-centered design,” J. Eng. Educ., vol. 101, no. 1, pp. 28–59, 2012.[13] E. A. Sanders, M. H. Goldstein, and J. L. Hess, “Assessing Ways of Experiencing Human- centered Design via Student Reflections,” ASEE Annu. Conf. Expo. Conf. Proc., 2021.[14] J. Hehn and F. Uebernickel, “Towards an understanding of the Role of Design Thinking for Requirements Elicitation - Findings from a Multiple-Case Study,” Am. Conf. Inf. Syst. 2018 Digit. Disruption, AMCIS 2018, pp. 1–10, 2018.[15] Stanford d.school, “Bootcamp Bootleg,” Stanford d.school, p. 47, 2010.[16] R. Razzouk
the program's development process and provide a scalable framework for educators.Background of Other Programs Vertically Integrated Projects is a multidisciplinary educational model that allowsstudents to work on long-term, large-scale research projects under the guidance of facultymembers [3]. In an assessment of the VIP for first-year engineering pathway at a publicuniversity, Ramirez and Zoltowski collected data that suggested a positive impact on participants'academic and professional qualities after participating in a VIP program [3]. The survey datahighlighted the program's efficacy in fostering research and experiential activities, as reflected ina mean score of 4.14. out of 5. Early engagement in research projects and teamwork
. These results are presented in Figures 1-4 below. FIGURE 1: Results for survey items 1-5.FIGURE 2. Results for survey items 6-10.FIGURE 3. Results for survey items 11-15. FIGURE 4. Results for survey items 16-20.DiscussionSTEM Identity, Self-Efficacy, Mindset, and Major/Career IntentionsOverall, participation in the VIP program did not seem to impact engineering identity, self-efficacy, mindset, or intentions to remain in the engineering major or pursue an engineeringcareer. Most participants scored highly on these measures, perhaps reflecting a selection bias,with the VIP program attracting students who already have strong sense of themselves as “STEMpeople.” It may also be the case that
Activity, students participated in the in-class activity by having defined roles and responsibilities. Some students were responsible for the oral presentation, others had to identify new discoveries in the content, while others needed to contextualize the events in their research.• Peer Assessment and feedback: Providing and receiving assessments from one’s peers can provide a variety of benefits for students involved in the peer assessment process. Students may have the opportunity to reflect, self-assess, and co-construct subject matter knowledge. Students’ confidence in the subject matter may also increase [10]. While these benefits have not been found to be universal, this study utilized collaborative learning
, impact on academia, its performance, use in writing research related work(George & George, 2023; Kung et al., 2023; Lund & Wang, 2023; Shen et al., 2023; van Dis et al.,2023). In this research study, the use of ChatGPT in engineering will be explored through students’perspectives.Literature ReviewResearch on Chat Generative Pre-Trained Transformer (ChatGPT) has proliferated in recent years,reflecting the growing interest in artificial intelligence (AI) and natural language processing (NLP)technologies. Initially developed by engineers at Open Artificial Intelligence (OpenAI), ChatGPThas garnered attention across various disciplines, with studies focusing on its applications,limitations, and implications for diverse domains. This
, “Developing a comprehensive engagement framework of gamification for reflective learning,” in Proceedings of the 2016 ACM Conference on Designing Interactive Systems, New York, NY, USA: ACM, 2016.[8] J. Stefaniak and K. Carey, “Instilling purpose and value in the implementation of digital badges in higher education,” Int. J. Educ. Technol. High. Educ., vol. 16, no. 1, 2019, doi: 10.1186/s41239-019-0175-9.[9] J. Lau, “Digital Badge Metadata: a case study in quality assurance,” Journal of Innovation in Polytechnic Education 3.1, pp. 27–36, 2021.[10] “Badge Architectures in Engineering Education - Blueprints and Challenges,” in Proceedings of the 5th International Conference on Computer Supported Education
students understand engineeringdesign at several points in their pathway. The aim of this research study is to address the researchquestion: What are the changes in students’ conceptualizations of engineering design over the Page 1 of 13course of their undergraduate education? This information can support the optimization of coursesto better support student learning of engineering design.Beginning engineering designers engage in engineering design in different ways than informeddesigners [6] - [8]. For example, informed designers are better able to weigh options and tradeoffsthan beginning designers. Additionally, informed designers are more reflective in their
powermeasurements, and the NI 9211 can be integrated for thermocouples. The power and temperature,as well as the aforementioned force and vibration measurements, are desired for monitoring thefriction stir welding process.AcknowledgementThis work was supported by the NSF under Grant No.1818655 and Department of Engineering atVSU. Any opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the NSF and VSU. The hard workfrom the VSU senior project group on “Design of a Monitoring System for ManufacturingProcesses” in 2021-2022 is thankfully acknowledged.Reference[1] Devarshi Shah, Jin Wang, Q. Peter He, Austin Hancock, Anthony Skjellum, “IoT
accustomed totraditional processes like a waterfall model. Though done with a relatively small number ofstudents in a short timeframe, the authors report positive outcomes on employee understandingof agile principles.We intend to continue developing an agile mindset in our students by fostering teaching andlearning in an agile fashion. Our work started with the Continuous Assessment Platform [26] forcontinuous learning feedback and now extends to more critical inquiry activities that emphasizeproblem-solving that eliminates waste, encourages tight feedback loops through experimentation,and asks students to reflect on agile ways of thinking and doing.References 1. A. Przybylek, and W. Kowalski. "Utilizing online collaborative games to facilitate
the problems are solvedby the instructor to assist their own attempt at similar homework problems. It is also possible thatstudents review the example videos that are directly connected to the upcoming exams. In Figure2(b) for Nano, there is a gradual decrease in the number of views as the videos cover thefundamentals of material science up to video number 15. The views climb immediately whenmore applied content is discussed, ranging from materials characterization to synthesis. ForNano, there are no example videos where students have to refer back to how the instructorapproached a problem. Therefore, the patterns observed here reflect the type of course content.Figure 3 presents similar data but now with views based on a unique viewer. These
Paper ID #43833The Value of Participating in the Grand Challenges Scholars Program: Students’Perceptions Across Three YearsAmy Trowbridge, Arizona State University Amy Trowbridge is an Associate Teaching Professor and co-Director of the Grand Challenges Scholars Program (GCSP) in the Ira A. Fulton Schools of Engineering. Her teaching focuses primarily on first year engineering students, and she is interested in curricular and co-curricular experiences that broaden students’ perspectives and enhance student learning, and the use of digital portfolios for students to showcase and reflect on their experiences. Amy has
in a classroom context. A couple of usefulquestions that an engineering educator might address when considering students’ neuro diversity: a) How should an educator respond to the needs to train students to solve complex, multidisciplinary engineering problems in an academic setting? b) What we do know thus far is the fact that assessment strategies such as quizzes would not be effective in measuring or reflecting students’ level of tackling new challenges? 8 Duong-Tran et al.Referring back to Section 3, we also note that the thickness of e and f arrows indicates theeffectiveness of a multidisciplinary engineering education system in
framework was often cited by students as a positive example of transfer.Others benefitted from taking the lead in their learning and reflecting on the material. Thesestudents found what worked for them in terms of transfer:“What I figured out about myself is I learn best through, like, evidence learning and examplelearning where I go through and essentially like, will diagram out problems of being like, okay,now solve this, or this is how the book solved it. How did we get to each line? What...whatprinciple is this applying? What equations am I using? Why do we move on to each step? And Iwill, like, do that for different systems until I understand the overall ideas of why.”This theme draws attention to the importance of transferring all types of
lacks detail and only explains the client’s problem in the mostgeneral terms: [Midterm submission] Multinational quick service restaurant and coffee shop [Client A] aims to improve their outdated back of the house storage model for restaurants around the country to reflect current offerings. This model needs improvement because [Client A] does not believe they are building enough storage in new restaurants to accommodate the restaurant’s size and sales. They also want to ensure the back of house takes up necessary space - they want to avoid over allocating storage in a restaurant that does not need it, and conversely want to ensure they do not under allocate storage in restaurants that may need to
to cater to diverse learning needs better. The findings of this study can informpolicies and practices aimed at fostering inclusive educational environments, supporting STEMstudents with ADHD, and enhancing educational outcomes.AcknowledgementsWe would like to acknowledge Cooperative Institutional Research Program (CIRP), the HigherEducation Research Institute (HERI), and the University of California, Los Angeles (UCLA). Inaddition, this research is supported by the U.S. National Science Foundation (2043430). Anyopinions, findings, and conclusions, or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] “NIMH » Attention-Deficit
course is highly groupbased and has three projects throughout the semester. The first two projects are small in scopeand is focused to help students learn the design thinking process. The final capstone project is 8weeks long is where students work on solving an open-ended engineering grand challenge. Thefinal deliverable for the course includes a functional prototype for the problem space the studentsare working on, and a final presentation related to the same. There are multiple low stakeassignments in the form of quizzes, reflections and fieldworks embedded throughout the courseadding to their final grade. Since Spring 2020 with the onset of COVID-19, the course alsofollows a HyFlex modality where students are given the autonomy to attend
Perception ItemsFigure 4: Bar graph representing the frequency of responses of the six perceptions. P1-TheArduino, M1K, M2k or others provided opportunities to practice content; P2 - The useof Arduino, M1K, M2k or others reflected course content; P3 - The use of Arduino, M1K, M2kor others was relevant to my academic area; P4 - The use of Arduino, M1K, M2k or othersreflected real practice; P5 - The time allotted for Arduino, M1K, M2k or others use wasadequate; P6 - The use of Arduino, M1K, M2k or others suited my learning goals 120 100 97 96 89
publication are those ofthe author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture orNational Science Foundation.References 1. W.J. Mitsch, “Ecological engineering: a new paradigm for engineers and ecologists,” Engineering within Ecological Constraints. National Academy Press, Washington, DC, 111, 1996.2. W.J. Mitsch, “What is ecological engineering?” Ecological Engineering, 45, 5-12, 2012.3. J. L. Martin, V. Maris, and D. S. Simberloff, “The need to respect nature and its limits challenges society and conservation science,” Proceedings of the National Academy of Sciences, 113(22), 6105-6112, 2016.4. National Academies of Sciences, Engineering, and Medicine. Data science for undergraduates
) program under award number 2130515 to Rice University via a subaward to TheUniversity of Texas at Dallas and under award number 2130328 to Prairie View A&MUniversity. The opinions, findings, and conclusions or recommendations expressed are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.References [1] L.N.P Campbell Lauren, E.M. Torres, S.J. Zaccaro, S. Zhou, K.N. Hedrick, D.M. Wallace, C.R. Luning, and J.E. Zakzewski, “Examining multiteam systems across context and type: A historiometric analysis of failed MTS performance,” Frontiers in Psychology, vol 13, 2022. DOI=10.3389/fpsyg.2022.813624 [2] R. Asencio and L.A. DeChurch, Assessing collaboration within and
research. This disconnect frequently results in exhortations that reflect thepast and ignore the progress that has been made to date.This paper comprises a case study of a successful and long-standing Women and MinorityEngineering Program at NC State University from the perspective of the program director. It willdiscuss a theoretical framework for the components of a complete program and how the variouspieces of the framework map to practice.Background “In a comprehensive study of successful programs and practices in minority serving institutions, intentionality, that is a “calculated and coordinated method of engagement…to effectively meet the needs of a designated population” was the common thread that distinguished
engineering disciplines and real-world ethical challenges. • Character formation and the role of virtues such as curiosity, humility, and discernment were discussed as to how to embed these character traits through projects or problem-based learning that allowed for ethical learning outcomes to be achieved. • Faculty worked to ensure the ethical principles across both courses were distinct, yet complementary to the learning performed in the prior courses. 6. Implementation Assessment: • Ethical modules were implemented in the expanded set of courses to gauge their impact. • Ongoing assessments, student feedback, and faculty reflections were collected
overall weight of the design but also reduces the exposedmetal surface area not covered by plants. Additionally, the bends in the troughs facilitateefficient substrate retention, promoting conducive conditions for robust plant growth whileoptimizing spatial efficiency.In conclusion, the analysis of patents related to vertical gardening has provided invaluableinsights that have profoundly influenced the design and development of the botanical wallproject. The transition from 3D-printed pots to troughs for plant containment, inspired by patentssuch as US8141294-B2 and CN101553108B, reflects a strategic shift toward cost-effective andmanufacturable solutions. Moreover, the structural integrity evaluation guided by patent findingshas informed
components ofspatial ability which may aid in the creation of more complete training.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial