education has been widely noted. Thishas been driven by the need to develop a wide range of skills such as innovativeness, creativity,and problem-solving in engineering students to succeed in today’s technology-driven economy.Increasingly, graduates are expected to adapt their complex problem-solving skills to align withthe modern-day multidisciplinary practice of engineering [1], know how to integrate theirscience and technical training to enhance industrial practice [2], and successfully navigate futurechallenges through continued innovation [1]. As noted by Torres, Velez-Arocho, and Pabon [3],“The contemporary engineer must be able to (a) effectively communicate orally as well as [in]writing, (b) be capable of working in multidisciplinary teams
/catia-v56. Madsen, A., Madsen, P., Geometric Dimensioning and Tolerancing, Goodheart-Wilcox, 9th Edition.7. Sriraman, V. and De Leon, J., “Teaching geometric dimensioning and tolerancing in a manufacturing program.” Journal of Industrial Technology, 15(3), pp.2-6. 1999.8. Devine, K.L., “Dimensional Tolerances: Back to the Basics.” Engineering Design Graphics Journal, 76(1). 2012.9. Wiebe, E.N., Branoff, T., “Supporting GD&T Practices Through 3-D Modeling Activities.” Proceedings of the ASEE 1999 Annual Conference, Charlotte, North Carolina, Session 2238, June1999.10. Haghighi, P., Vemulapalli, P., Mohan, P., Shah, J.J., Davidson, J.K., “Preliminary investigation on generating an explicit GD&T scheme from a process plan
andexisting literature. A determination regarding the domain specificity of the construct is alsowarranted (i.e., academic motivation vs. motivation). Finally, in the ideation stage, theresearchers hypothesize factors that likely contribute to their construct (e.g., sense ofbelonging, interest, and usefulness of material being learned might be three factorscontributing to academic motivation). Figure 1. The Process of Dimension Reduction in EFADuring the item generation stage, a series of “questions” or items that will contribute to thefactors identified in the ideation stage are created from a review of the literature, theories,expert input, and other means. For example, one scale item that the researcher might
RFE: Machine Learning for Student Reasoning during Challenging Concept Questions - Year 2IntroductionIn this NSF Grantee Poster Session Paper, we outline the progress of a collaboration funded byNSF Research in the Formation of Engineers (RFC) 2226553 between engineering educationresearchers at Tufts University and machine learning researchers at University of MassachusettsLowell to use Generative AI (GenAI) to automate qualitative coding and analysis of short-answer justifications to concept questions. Concept questions, sometimes called ConcepTests[1], [2], are single-right-answer multiple-choice questions that assess student understanding ofrecently learned challenging concepts. Instructors sometimes ask students to supply
technology through the dedicated undergraduate (MET 4173) class as well as through the hands-on training sessions and certification (level 1 to 4) in the Endeavor Digital Manufacturing Maker Space.Dr. Brad Rowland, Oklahoma State University Dr. Rowland has extensive military experience that includes military acquisition; research and develop- ment related to test and evaluation of military equipment; management of high risk technical programs and advanced application of statistical designs. He served as the Chief Scientist for the Chemical Test Division at the Dugway Proving Ground, as well as the Director of Research for NitroLift Inc. Currently, Brad is the ENDEAVOR Operations Manager who helped design the facility
multiple assignments that helped the students to conduct hands-on labusing a remote simulation tool (e.g., Tinkercad). The end-of-the-semester positive student reviewssupport the success of the course design.1 IntroductionInternet of things (IoT) is a system that connects people and devices (e.g., sensors, smartphones,wearables) anytime and anywhere. The fast-growing IoT system has influenced and materializedmany industries, such as smart cities, smart grid, smart healthcare, and so on. Kevin Ashton firstcoined the term Internet of Things as “refers to scenarios where network connectivity andcomputing capability extends to objects, sensors and everyday items not normally consideredcomputers, allowing these devices to generate, exchange and
delve into their own experienceswhen it comes to fostering inclusive climate. We ask the chairs share (1) their biggest challengeswhen it comes to department climate, (2) the strategies they’re already tried to improve climate,including what worked and what didn’t work, and (3) any resources they need to improve theclimate in their department. Again, this step generates lively discussion as participants reflect onwhether colleagues’ strategies might work in their own department or could be adapted to betterfit the culture or context of their unit.Module 3: ImplementationThe workshop ends with a call for all participants to take immediate steps to improve theirdepartment climate. The team shares four ideas for small steps that chairs can take
selection and screening, LCA, and design engineering exercises. The findings andconclusions of this paper show that the use of materials selection, screening, and LCA processeswas beneficial to the students in the design engineering laboratory course. The use of thesetechniques allowed students to gain a deeper understanding of the topics and to gain hands-onexperience that reinforced the lecture material. The use of these techniques also allowed studentsto gain an appreciation for the importance of sustainability and design engineering. Background: As early as the 1970s, there was a call from within the engineering community toinclude sustainability as an engineering practice within the curriculum [1], with the World Councilon Churches calling for
note that these are considered unofficial as a focusareas, and are not noted on student transcripts. The survey items included a series of forced-choice andopen-ended items to address the following overarching questions: 1) Why did students choose the EBS Major? How did they initially find out about the major? What aspects of the major appealed to them? 2) What are student’s interest levels in each of the major focus areas for the EBS Major (i.e., Agricultural and Natural Resources Engineering, Biotechnical Engineering, Food Engineering and General Biological Systems Engineering)? Are students interested in research topics related to these focus areas? What is their perceived knowledge about
products areprocessed, manufactured, and disposed. Engineers must possess fundamental understanding ofmaterials, in addition to understanding of economic, social, and environmental drivers toadvocate for sustainable alternatives. There are great opportunities in MSE undergraduateeducation to train the next generation of forward-thinking scientists and engineers, so they areprepared to address the large-scale climate change problems.At the University of Michigan, engineering is focused on developing fundamental technical andteambuilding skills so that our engineers can redesign systems to better serve all people. This“people-first” engineering focus has led to the reshaping of the capstone design course for seniorundergraduate students in MSE to
[1] emphasizes this need for engineers to engage in “socially-embedded solutions” when dealingwith complex issues such as climate change, which has strong ties to agriculture. This skillset,often described as being able to “think outside the box,” includes systems thinking.A system can be generalized as a group of elements that interact to perform a function. Arnoldand Wade [2] define systems thinking as itself a system for thinking about systems with “a set ofsynergistic analytic skills used to improve the capability of identifying and understandingsystems, predicting their behaviors, and devising modifications to them in order to producedesired effects.” Thus, the set of analytic skills in this definition are the system’s elements
. Wenk B. Lee J.Q Brown, M. Wang. High-area-throughput automated gigapixel imaging of whole prostate tumor resection surfaces using structured illumination microscopy. SPIE Photonics West - BIOS, pages 9313–15, 2015. [7] Computing Research Association. Generation cs: Computer science undergraduate enrollments surge since 2006, 2017. URL https://cra.org/data/Generation-CS/. [8] Miran Lipovaca. Learn You a Haskell for Great Good!: A Beginner’s Guide. URL http://learnyouahaskell.com/. [9] Alex Edgcomb, Frank Vahid, and Roman Lysecky. Students learn more with less text that covers the same core topics. In Proceedings of the 2015 IEEE Frontiers in Education Conference (FIE), FIE ’15, pages 1–5, Washington, DC, USA, 2015. IEEE
Van Den Einde is a Teaching Professor in Structural Engineering at UC San Diego and the President of eGrove Education, Inc. She incorporates education innovations into courses (Peer Instruction, Project- based learning), prepares next generation faculty, advises student organizations, hears cases of academic misconduct, is responsible for ABET, and is committed to fostering a supportive environment for di- verse students. Her research focuses on engagement strategies for large classrooms and developing K-16 curriculum in earthquake engineering and spatial visualization.Elizabeth Rose Cowan, eGrove Education Inc. Elizabeth Cowan is a User Experience Researcher and Designer for eGrove Education, Inc., which de
-378[9] Gutsell, J. and Inzlicht, M. (2010). Empathy constrained: Prejudice predicts reduced mental simulation of actions during observation of outgroups. Journal of Experimental Social Psychology, 46(5), pp.841-845.[10] Johns, M., Inzlicht, M. and Schmader, T. (2008). Stereotype threat and executive resource depletion: Examining the influence of emotion regulation. Journal of Experimental Psychology: General, 137(4), pp.691-705.[11] Roussou, M. and Slater, M. (2017). Comparison of the Effect of Interactive versus Passive Virtual Reality Learning Activities in Evoking and Sustaining Conceptual Change. IEEE Transactions on Emerging Topics in Computing, pp.1-1.[12] Riva, G., Baños, R., Botella, C
reach to other majors. Wedesigned a Minor is Sustainability with a new SUST prefix that is open to all UHD undergraduates. Weare proud of this innovative, cross-disciplinary curriculum as solving future issues with social andeconomic components will require majors outside of the environmental sciences.The Minor in Sustainability is 18 hours (6 courses). Three of these courses can be selected as part of thedegree plan of most students if they choose wisely from the list of course options. For these three coursesstudents must take one course from each of three course areas. The areas include 1) environmentalscience fundamentals, 2) social and ethical considerations and 3) technical and business applications. An important addition to the technical
engineering leaders who deliver world-changing solutions,the new engineer needs competencies beyond the core engineering skills. They needcompetencies to: 1) Produce good technical solutions (engineer) 2) Generate creative ideas (create) 3) Convert ideas to value (innovate) 4) Succeed in the corporate environment (collaborate) 5) Delivery solutions (solution delivery).Table 2 provides a more detailed list of the characteristics associated with these fivecompetencies. In addition to the competencies, the student needs to have the attitude to be aleader. The student needs to have the desire and confidence to be proactive, take risks, and be acontributing member of the team. The student needs to bring passion to the game of
thiswork and how these informed the design of the survey, including the reasoning behind usingself-efficacy measures. We will also present our early analysis of the validity of this tool and itsutility in measuring HCED learning. Findings from this paper cover data collected at thebeginning of the Fall 2023 semester. Future work will include pre/post comparison andlongitudinal analysis. Design is a central part of engineering and continues to play an important role inengineering undergraduate education [1]–[3]. Design projects have been positioned in thefreshman and senior years as cornerstone and capstone projects [1], [4]–[7]. Beyond thesedesign-focused courses, many engineering courses employ a project-based learning approach,often
. Future work will alsoexplore how the lived experiences of students impacts their career goals with the aim to understanddisproportionate impacts of sustainability issues on diverse communities.Appendix A: Grading rubric for Gala module evaluationProject title:1. Content (80%) ● (10%) Welcome page - frames the general context of the work well ● (10%) Provides a clear, well-posed objective statement ● (20%) Presents appropriate background on the technical or scientific state of the art ● (20%) Presents appropriate technical description of the specific technology ● (10%) Describes future needs and opportunities ● (10%) Cites sources appropriately2. Organization and style
through the Center for Energy at Pitt. Dr. Grainger’s research interests are in electric power conversion, medium to high voltage power elec- tronics (HVDC and STATCOM), general power electronic converter design (topology, controller design, magnetics), resonant converters and high power density design, power semiconductor evaluation (SiC and GaN) and reliability assessment, military power systems, DC system design and protection, fault identification techniques, and power electronics for microgrid applications. Dr. Grainger has either worked or interned for ABB Corporate Research in Raleigh, NC; ANSYS Inc. in Southpointe, PA; Mitsubishi Electric in Warrendale, PA; Siemens Industry in New Kensington, PA; and has
mindset and skillset.The resulting research products will not only provide the next generation of infrastructuredesigners/builders/operators with the system-level thinking and analytics skills they will need tothrive in the 21st century, but also help attract students with diverse backgrounds into this criticalSTEM field. Specifically, the two objectives of this project are: Objective 1: Develop a series of educational modules that first introduces CE engineering students to system-level thinking and then provides the foundation for the requisite analytics skillsets. These modules will be integrated into existing classes across a student’s undergraduate CE engineering curricula by providing flexibility to the
) insummer 2022. The objective of this SBP is to increase academic motivation of the studentparticipants, and increase retention using high impact design activities. The program enrolledunderclassmen from the TAMUK COE and potential engineering transfer students fromnearby community colleges and universities. Extracurricular Bridging Programs identified asa student success strategy by other engineering colleges served as an impetus for the SBP in anNSF IUSE grant [1-3]. The intent of this paper is to share the results of the third annual SBPin the NSF IUSE grant implemented at TAMUK, and to inform and solicit feedback fromother undergraduate engineering education experts. Since this edition of the SBP wasconducted in a hybrid mode, while the
that is concerned with the ability toput into action the general knowledge and skills with relevance, appropriateness, or sensitivity toa particular context (Dunne, 2005). Consistent with Schön, it is a capacity that a practitioner canacquire only through reflection, action, practice, and practical experience. Figure 1. Graphic illustrating Aristotle’s three human dispositions: Phronesis, Episteme, & Techne. It is within this conceptual framework that we are creating and researching the effects ofan innovative curriculum that cultivates reflective engineers in a graduate program inengineering. Engineers will encounter many occasions requiring them to exercise not only theirknowledge and
]. Numerous blue-ribbon reports and recommendations fromengineering professional societies have made calls to name and develop the skills engineers needfor success in their careers. For example, in The Engineer of 2020, the National Academy ofEngineering (NAE) asserts that engineering graduates will need skills such as practicalingenuity, high ethical standards, strong communication, and leadership [1-2]. Further, in their“Vision 2030”, the American Society of Mechanical Engineering (ASME) reports that engineersneed to develop more innovation and creativity, a higher standard of professional skills, andmore practice-based engineering experiences [3]. Beyond the technical knowledge required toaddress these complex problems, the American Society of
with this philosophy.The program under study is one of the few engineering programs in China that nurturesinterdisciplinary and generalist engineers. While the program aims to cultivate top talent forthe future, students have reported that the demands of the job market suggest otherwise. Theyhave faced rejections for both internships and job positions due to their lack of a specializedbackground. As two students stated: Our goal is to become general engineers, and in order to achieve it, we have learned a lot of things. However, when this is put into the domestic context, it seems that there is no place that needs a generalist engineer. They need specialized people who can work on technical jobs. (S3) Companies here already have a
) reflect this reversescoring, as noted. In addition, we assessed the Cultural Competence (CC) scale for internalconsistency (reliability) using Cronbach’s alpha statistic. In so doing, we discovered that two ofthe items (7 and 10) detracted from the overall reliability of the scale, and so removed them fromthe calculation of the composite CC score. The resulting alpha reliability coefficient is .75 (forthe Grainger students) which represents an acceptable level internal consistency.The 12 Items 1. The technology that is used in the United States is likely the best technology to use to solve similar technical problems in other countries. 2. There is a single best solution to every engineering problem. 3. It is important for engineers to
lower stakes assignments (weekly asychronous learning, labs,lecture reflections).There was no clear indication from our data about whether the policy positively or negativelyimpacted students’ grades with regards to their academic performance. This is in part due to thehistoric grade distribution in the course: most students earn an A or A+.The results of this analysis on generous flexible deadlines supports our concurrent observationsthat this large course, primarily consisting of first-year students, appears to need a balancebetween flexibility in deadlines and a firm course structure to help reinforce good timemanagement skills. We recommend that: • Weekly assignments have a short late submission period (1-2 days) during which
participants per table. Theparticipants started the workshop after a brief introduction to the Strategic Doing process and the3 Cs of the Entrepreneurial Mindset.The workshop started with Rule 3 (refer to Figure 1) and in Group 2, there was some difficultygenerating projects by linking the assets as a part of Rule 4. Group 1 followed the traditionalformat of generating projects based on the assets available. This was resolved by going into adivergent process where the participants listed all the possible projects that are possible about theappreciative framing question. This list of projects was narrowed down to something achievablewith the available assets in the Group as a part of Rule 4. Three projects were selected from thetotal list of these
activitysuccessfully provides immediate exposure to an interesting physical system, to which an array ofaccessible modeling approaches can be applied. Since the activity (and subsequent analysis)relies on relatively little background knowledge, first-year STEM students can effectively engagewith the game, and some students can produce novel models of the game’s behavior. Thischallenges an assertion sometimes made in modeling pedagogy—that undergraduate studentslack the domain knowledge necessary to engage fully in the modeling process [1]. Additionally,the proposed activity results in a rich student-generated data set which motivates a variety ofquestions about viral phenomena, and offers the opportunity for students to meaningfully answerthese questions by
thehighest amount of current in this system, the four cable adapters were soldered together in parallel.The design of the payload itself was inspired by 1U (10 x 10 x 10 cm) “mock” CubeSatarchitectures used in previous MN Space Grant flights, utilizing frames of aluminum to reinforcethe sides, a sturdier high-density fiberboard (HDF) to protect the internal components. Toaccommodate the solar panels (112 x 136 x 4.8 mm), the dimensions of the payload were adaptedusing CAD software to 126 x 126 x 156 mm – a slight technical increase in dimension from the1U CubeSat. Once all HDF sides of the payload were designed, they were laser-cut, assembled,and screwed together, as shown in Figure 1. The HDF attachments for each solar panel, also shown,are also
power spectrum X i ,n , are of importance in thisapplication. In Figure 10 the power spectrum of the deflection history depicted in Figure 7 isshown. Figure 10: Power spectrum of the deflection history of the first massFigure 10 shows two distinct peaks at the frequencies ν1 = 0.62 Hz and ν2 = 1.07 Hz, whichrepresent the natural frequencies of the system. The parameters chosen for the generation ofFigures 6 to 10 were m1 = m2 = m = 10 kg and k1 = k2 = k3 = k = 150 N/m, which leads,according to Equation (9), to the two eigenvalues k 3k 1 and 2 . (20