. American c Society for Engineering Education, 2021 Exploring Trends in First-Year Student Responses on Asynchronous Design Modules1. IntroductionWith the COVID-19 pandemic restricting in-person instruction, content delivery and themonitoring of content comprehension is limited to online, asynchronous methods. While anincreased emphasis on these remote methods is recent, literature related to engineering problemframing skills established the comprehension students see via in-person approaches [1-9]. Theseexpectations serve as the basis of expectations and subsequent exploration as to how they operatevia online, asynchronous delivery.The motivation for this work is to determine how
medium-sized civil engineering department inthe southeast. Drawing on frameworks that examine how individuals critically understandsystems of oppression, and the justification used to explain these systems this work examinedstudent perceptions of inequities in societal infrastructure systems. The present study was guidedby the following research questions: (1) Are undergraduate civil engineering students criticallyaware of inequities in society’s infrastructure systems? (2) To what degree are undergraduatecivil engineering students comfortable challenging the status quo? (3) Is there an associationbetween students’ critical awareness of inequitable infrastructure systems and their agency topromote systemic change as civil engineering
students. Secondarily, the empirical results suggest subtle shifts in thediscourse about what engineering is and, thus recognition of values that might underpin culturesof responsible innovation.Keywords: Content Analysis, Engineering Education, Engineering EthicsIntroduction Engineers are often taught that ethics means the adherence to codes of conduct, whichoffer guidance for handling difficult situations as professionals. On the other hand, someengineers learn about the principles of Responsible Conduct of Research and the rules thatdetermine good behavior [1]. Both of these approaches ask for engineers to learn, accept andconform to the values instantiated by external organizations. Those approaches are intended tosupport an
theseresults. Further research opportunities are presented as well as suggestions on how to continueto increase interest, enjoyment, and value in fluid power as this may be applicable other areas ofSTEM.Keywords: female, fluid power, middle school, high school, engagementBackgroundWorkforce positions involving science, technology, engineering, and math (STEM) are vital tothe United States’ economic well-being and our competitiveness in an international marketplace[1]. STEM workforce forecasts vary widely, from future shortages of over 1,000,000 STEMworkers by 2026 [2] to current surpluses [3]. Regardless of shortages or surpluses, corporationsand businesses may struggle to hire STEM workers with specific skill sets, such as designing andmaintaining
eye-movement patterns of engineering students are similarto the pattern of a subject matter expert (SME), an ideal person who sets the expert criterion forthe car toy assembly process. Benchmark experiments are conducted with a comprehensivemeasure of performance metrics such as cycle time, the number of station switches, weight,price, and quality of car toys. Experimental results show that eye-tracking modeling is efficientand effective to measure problem-solving skills of engineering students. The proposed VRlearning factory was integrated into undergraduate manufacturing courses to enhance studentlearning and problem-solving skills.1. IntroductionManufacturing serves as a key wealth-creation engine and a vital provider of jobs in the
. The courses were selected with different complexities, ranging from low, average,and high levels for courses A, B, and C, respectively. Instructor 1 taught course A, and courses Band C were taught by instructor 2. The content, of course A, covers concepts and manufacturing processes adopted inindustry. About 80% of the graded activities of this course contain conceptual questions and 20%of math workout problems. The other two classes (B and C) are mechanics courses. Course B isfor sophomore students, which requires new skills to learn the first engineering analysis conceptsat the department. Course C is for junior students. Students who enrolled in this course haveexcellent skills from previous courses. In fall 2019, all courses were
high-level competencies. We then use this hierarchyscheme to answer the following 2-part research question concerning AM employers in NorthwestFlorida:RQ 1) How do national AM competencies levels in the DOL AM Competency Model compareto competency levels expressed by Northwest Florida employers?RQ 2) What competencies most critical to rural AM employers can benefit entry-leveltechnicians through classroom learning and experiential learning?2.0. Literature Review2.1. Industry Demands in DOL AM CompetenciesAM Competencies are developed by the Employment and Training Administration (ETA) of theU.S. Department of Labor. Industry subject matter and technical experts provide feedback onthe model and the model is validated with input from industry
and enhance conceptualunderstanding, and as a result, improve overall student performance in the class. Metacognitiveskills can have enormous benefits for students within this course, and help students whenpursuing higher levels of education, and perform complex tasks in professional life requiring oneto take greater responsibility for one’s learning. Unfortunately, these metacognitive skills tend tofall outside the content area of most courses, and consequently, they can be often neglected ininstruction. In a large Biomedical Engineering class focused on solving mass and energy transferproblems, promoting metacognitive skills was a challenge that was met with two specificinterventions – 1) introduction of exam wrappers and class-wide
researchers answer (and raise more) importantresearch questions, support administrators in making decisions on funding and institutionalpartnerships, and help faculty members design and develop more effective programs thatfacilitate research collaborations.1. Introduction1.1 Background and MotivationResearch collaboration has become a norm and common practice within and across highereducation institutions [1,2]. Bibliometric analysis of publications over time presents anillustration of growth in faculty collaboration. Jones et al. [2] examined 4.2 million researchpapers from 1975 to 2005, including different fields, science and engineering, social science, andarts and humanity, that involved 662 universities in the U.S. and concluded that there had
Course Wonki Lee Purdue University, West Lafayette Nathan Mentzer Purdue University, West Lafayette Introduction Student engagement, as measured by cognitive, affective, attentional participation in aneducational setting, is prominent in recent engineering education [1], [2]. It is inextricablyintertwined with students’ motivation, and those two constructs have a strong impact onstudent’s meaningful learning experience, academic achievement, and knowledge development[3]. Project-based learning with authentic hands-on experiences in a collaborative setting
< 0.10).1 IntroductionSignals and systems (SS) is a standard electrical engineering (EE) undergraduate course coveringlinear time-invariant (LTI) system properties, convolution and system responses, Fouriertransforms (FT), Laplace transforms (LT), and filtering. These topics are fundamental to signalprocessing, image processing, and machine learning specializations, all of which arehigh-demand areas for graduates.Despite the importance educators place on concepts in SS, studies show that students typically donot learn even half of new concepts in a SS course [1], and that students can derive the correctanswer on procedural questions without being able to explain the underlying concepts [2], [3].For example, students may be able to use
technical practitioners desired specific deep dives into data analytics, digital twinning,and process optimization after introductory overviews. Both educational experiences exposed aneed for preparedness in programming and statistical analysis software tools to take advantage ofthese smart manufacturing concepts.IntroductionManufacturing and industrial process systems are evolving at a relatively rapid pace due to thedigitalization and data centric transformations occurring in many aspects of the economy [1]. Asapplied to manufacturing, this wave of transformation is generally referred to as Industry 4.0 orSmart Manufacturing, and in the U.S. our efforts to modernize manufacturing are less centrallyled than in other countries [2]. By its very
develop an EM by attendingworkshops and conferences sponsored by KEEN. As the development and integration of the e-learning modules matured, it became clear that a strong internal effort to develop an EM infaculty was needed to sustain the initiatives. A formal program consisting of developing EMchampions across different programs was launched in 2019, and an internal mini-grant programto incentivize faculty to develop entrepreneurially minded activities in select courses acrossdifferent programs was launched in 2020. This paper describes the outcomes of the variousfaculty development initiatives.It is often the case that individuals engage and promote practices in which they themselves weretrained [1]. Large-scale changes often require efforts
important as course modalities hybridize and proliferate. This paper would appealto new and experienced instructors, program assessors and coordinators, administration, and ingeneral, curriculum developers.Background and RationaleCOVID-19 radically altered the landscape of higher education, which for many institutions,resulted in the adoption of a hybrid-flexible (Hyflex) lecture model. In traditional, pre-pandemicimplementations of Hyflex, the mode is defined as “class sessions that allow students to choosewhether to attend classes face-to-face or online, synchronously or asynchronously,” creating atruly blended learning environment [1]. On-the-ground implementation of Hyflex at The Citadeland other US institutions has been more nuanced and
University in 2008 and 2012, respectively. Her current engineering education research interests include engineering students’ understanding of ethics and social responsibility, sociotechnical education, and assessment of engineering pedagogies. American c Society for Engineering Education, 2021 Faculty Interpretations of Sociotechnical Thinking in their Classrooms: Techniques for IntegrationIntroductionEngineers consider both social and technical elements within the problem spaces in which theywork [1] - [3]. Yet, engineering education often better prepares students to address technicalissues within well-defined technical problem spaces, with
hired for your technical skills, fired for your lack of people skills,promoted for your management skills.” Participants were asked to contextualizethis statement in their own discipline and describe their perceptions of leadershipgiven the conceptualization of industry as a people business. The interviewtranscripts were analyzed deductively to ascertain perceptions of technical,management, and people skills and understand faculty members’ perspectives onstudents’ preparation. The findings suggest that faculty members (1) believed thatstudents are under-prepared for the professional skills required in the engineeringindustry, (2) promoted students’ experiences outside the classroom as a way toimprove professional skills, and (3) expressed mixed
effective support and teaching of undergraduateand graduate students. Despite continued efforts to promote mentorship of faculty, studies showthat early career scholars may not be receiving the mentorship that they require (Morzinski &Fisher, 2002; Thomas, 2001; Van Noorden, 2018). Informed by Higgins and Kram’s (2001)framework of the antecedents and consequences of the mentoring (developmental) network, ourstudy applies multiple linear regression models to investigate the following two researchquestions regarding faculty mentorship and professional development: (1) Which factors are associated with the likelihood that a faculty member will reporthaving a formal or informal faculty mentor? (2) What are the associations between
developing knowledge and defining theory [1]. However, engineeringeducation researchers must reach a wide range of engineering domains and programs in order towholly succeed at improving engineering education. Thus, expanding the EER community is agrowing mission for academia and organizations such as the National Science Foundation.Although funding opportunities like the NSF’s Professional Formation of Engineers: ResearchInitiation in Engineering Formation (NSF PFE: RIEF) grant provide an opportunity for facultyinterested in conducting EER, overall awareness of EER remains limited thus restricts theexpansion of research and community [2].Recent research indicates that unfamiliarity with qualitative methods and theoretical frameworksare barriers of
the start of the pandemic [1], each specific institution will experience certainstressors in unique ways based on the demographics of the student body. We wanted tounderstand how our students were responding to the added stress of suddenly and drasticallychanging their learning environment and the ways that affected their learning – especially inrelation to mental health.The college mental health crisis has been ongoing in America since the mid-1990s [2]. In 2010,45.6% of students reported feeling hopeless and 30.7% of students reported depressioninterfering with their daily lives. Mental health disorders have been linked to decreased academicperformance, increased risk of drop-out, and decreased functioning after graduation – which arenow
facilitated wound closure techniques (e.g., suturing, etc.) on resultant scarring. She is currently a contributing research member of the Renaissance Foundry Research Group.Dr. Robby Sanders, Tennessee Technological University Dr. Robby Sanders is an Associate Professor at Tennessee Technological University (TTU) in the Depart- ment of Chemical Engineering. He obtained his Bachelors of Science in Mechanical Engineering from TTU in 1995, and he obtained his Master’s degree and his PhD in Biomedical Engineering from Vander- bilt University in 1998 and 2001, respectively. His research efforts address 1) innovation-driven learning with a focus on student learning at disciplinary interfaces, 2) clinical diagnostics and
various forms, but at its core is the process ofcollecting, receiving, and discriminating amongst information. Often this is considered under anumbrella term of informational literacy – which is an individual’s ability to locate, evaluate andeffectively use needed information. Processes involved during information gathering mayinclude published or unpublished print materials, communication with human “experts” (e.g withpeers, family, or librarians), and tactile processes (e.g. trial and error, experiments, etc.) (Figure1). In addition, these interactions can take place in person or in virtual spaces. 1 Print
revisited by the researchers until a universal consensus in the coding was reached.In completing the coding and analysis of the student responses, the codebook was finalized. Newcodes unique to the 2020 online student advice are indicated with asterisks. See Table 1: Codesand Themes for Online Student Advice. Table 1: Codes and Themes for Online Student Advice (* indicates a new code unique to 2020 Student Advice) Emergent Themes Code Descriptions Student advice related to... Time Management Due Dates Keep track of due dates, mark on calendar Routine* Work every day, keep a regular schedule
. Asian males were the only group overrepresented among FASEstudents and underrepresented among FASE returners. To build off of these descriptive statisticsof FASE undergraduates, we recommended future research and interventions based on CriticalRace Theory (CRT) to lead to greater equity in engineering graduation rates.Introduction The National Student Clearinghouse Research Center recently reported the smallestincrease of 0.3 percentage points in six-year college completion rates [1]. Of those who started ina 4-year public US institution, 67.4% completed that degree in six years [1]. The percentagepoint gap between Black and White students in four-year public institutions narrowed slightlyfrom 25 to 23 percentage points from 2019 to 2020
ofEngineering and Applied Science at Binghamton University have been asked to complete a two-question survey in the first week of classes regarding their intended engineering major. The two,multiple choice questions are: (1) what is your intended engineering major? (2) how sure are youof your decision? Responses have shown that between a third and a half of the 1st-yearengineering students express some uncertainty in their intended choice of engineering major,indicating that they are either very unsure, unsure, or neither sure nor unsure of the strength oftheir engineering major interest.Out of programs that offer a combined 1st-year experience for engineering students, many do notrequire that students declare their major until the end of the first
threshold concepts. Thesemanifestations in the forms of key experiences and perspectives were highlighted to inform howlearning interventions in the two courses promoted the development of students’transdisciplinary knowledge.1. BackgroundThe COVID-19 pandemic has exacerbated the urgent need among universities to connectengineering programs and curricula with the changing demands of local, national, andinternational stakeholders. Societal challenges, even before the current global pandemic, requirescaffolded and interconnected engineering approaches and solutions. These challenges demandedthe integration of different disciplines, practices, or competencies in redesigned undergraduateengineering curricula which were particularly directed to enrich
“mapped” onto a learner by a content expert [1].Linking new knowledge to previous knowledge learned experientially has been shown to createmore durable learning [2], [3]. Typical STEM instruction follows a tell-practice framework thatconsists of the instructor sharing key information and the student practicing, which requiresstudents to attempt to link what the instructor is saying to their previous knowledge prior to gainingexperiential knowledge. The past experience of students can vary greatly and fundamentalinstruction that does not address existing misconceptions or current gaps in a student’s experientialknowledge can lead to inaccurate interpretations and further reinforce misconceptions makingthem even more difficult to correct [4
University (MSU) works towardsthis goal is through accreditation of its Mechanical Engineering Technology (MET) programwith ABET. To maintain accreditation, the program must define outcomes, assess thoseoutcomes, evaluate how well those outcomes are being attained, and finally, continuouslyimprove the program. To satisfy ABET defined Criteria for Accrediting EngineeringTechnology Programs, 2019-2020 the MSU MET program has adopted student outcomes listedas #1 through #7. The focus of this work is Student Outcome #6: “An ability to conduct standardtests, measurements, and experiments and to analyze and interpret the results to improveprocesses.” This outcome was noted in prior assessment activities at MSU as an area forimprovement. For assessment
to reduce FW.Introduction and BackgroundEvery year approximately 40% of the food produced in the United States [1] (approximately onethird, globally [2]) is wasted rather than eaten. Food is wasted or discarded throughout the foodsupply chain, creating significant economic, societal, and environmental impacts. The U.S.Environmental Protection Agency (EPA) estimates that 63.1 million tons of food waste (FW)were generated from commercial, institutional, and residential sectors in the United States in2018, with an additional 40 million tons generated from industries [3], [4]. Along with thatwasted food is the wasted farm land, water, labor and energy resources required to grow,process, package and transport it. According to the NRDC, food waste
efforts, continuously look for improvementopportunities, and aim to create value that is not only related to the product or service but alsorelevant to their stakeholders. In order to better prepare their students for the increasinglycomplex world, higher education institutions are more and more promoting entrepreneurialmindset (EM) and integrating entrepreneurship elements in their programs [1-3]. Offeringcourses on entrepreneurship, providing extracurricular activities such as pitch competitions anduniversity innovation fellows, and creating physical spaces for innovation and collaboration areamong the popular approaches [4-6]. Promoting entrepreneurial mindset and skills in engineeringcourses is another approach that is gaining momentum. The
today’s global economy, engineering graduates need to be prepared to possess both a strongtechnical skill set and an entrepreneurial mindset (EM) to drive innovations. According toKriewall and Mekemson [1], “an entrepreneurial minded engineer (i.e., an engineer instilled withthe entrepreneurial mindset) places product benefits before design features and leveragestechnology to fill unmet customer needs”. So, an engineer that is entrepreneurially minded canfocus on unmet customer needs and consider the benefits and impact of their designs in additionto their technical details. Many engineering programs and educators have now recognized theimportance of instilling an entrepreneurial mindset and many efforts have been made to improveprograms and