to visualize 2x2 and 3x3 matrices by Christian Otto Mohr in thelate 1800’s, Mohr’s circle has since become a foundational, visual tool for mechanics studentsworking to understand the stresses at play at derived points in materials [1]. Undergraduateengineering students are commonly introduced to Mohr’s circle in their Mechanics of Materialsclass as an analytical tool included in the lessons on stress transformations. The basic idea behindMohr’s circle is that normal and shear stresses on a plane within a material depend on theorientation of that plane [2]. Through graphical representation, Mohr’s circle simplifies theprocess of reorienting a given planar section of material to obtain the normal and shear stresses atthe new orientation. It
master’s students at a large public university about their educationalexperiences and understanding of engineers’ professional responsibilities, including those relatedspecifically to AI technologies. This paper asks, (1) do engineering master’s students seepotential dangers of AI related to how the technologies are developed, used, or possiblymisused? (2) Do they feel equipped to handle the challenges of these technologies and respondethically when faced with difficult situations? (3) Do they hold their engineering educatorsaccountable for training them in ethical concerns around AI?We find that although some engineering master’s students see exciting possibilities of AI, mostare deeply concerned about the ethical and public welfare issues that
faculty through a group coaching model.IntroductionThis paper reports on the development and use of a group coaching model for engineeringeducators, one of the outcomes of the AMPLIFY project, a funded multi-year, cross-institutionalaction research project. This project was established to explore and enhance the perspectives andexperiences of Engineering Instructional Faculty (EIF) at Hispanic Serving Institutions (HSIs).EIF are a rapidly growing faculty population at HSIs [1], [2], who are characterized as facultywho hold full-time, fixed-term positions, with their main duty being teaching [3]. They areleading educational change and innovation to enhance student learning outcomes, particularly forunderrepresented groups in STEM [4]. The project
Network Analysis (SNA) to answer their Research Questions (RQs) in currentor future studies, particularly for studies of large-scale networks. Over the last several decades,engineering educators have increasingly recognized the role interpersonal interactions play inshaping engineering student outcomes. These interactions span various modes, including online,face-to-face (f2f), student-to-student, student-to-instructor, and instructor-to-instructorinteractions [1], [2], [3]. Concurrent with this growth, the development of engineering educationas a discipline included an increasing number of engineering education researchers adoptingsociological research methods [4], [5]. Among these sociological research methods, SNA appliesnetwork theoretic
underrepresented students of all ages, STEM mentors, and their motivations and/or persistence. The first part of her career was spent designing residential split system HVAC equipment and Indoor Air Quality (IAQ) unitsfor Trane in Tyler, TX. Kristin has taught about design, engineering, and manufacturing to students of all ages in various places including to preschoolers via Schaefer Engineering’s STEM outreach, to senior mechanical engineering undergraduates at TAMU, to eighth graders in KatyISD at Beckendorff Junior High, and to freshmen mixed major undergraduates at UH and at TAMU. Kristin is also the mom of one smart teenage boy whose journey through learning differences and Type 1 Diabetes (T1D) has enabled her to connect
Ph.D. in engineering education at Purdue University. She is particularly interested in equitable and inclusive teaching methods and graduate level engineering education.Eva Fuentes-Lopez, University of California, San Diego ©American Society for Engineering Education, 2024Illuminating the Pathways of Latine and Hispanic PhDs 1 Illuminating the Pathways of Latine and Hispanic PhDs into Engineering Teaching- Focused Faculty Positions Authors: Joseph Leon Henry 11, Eva Fuentes-Lopez 22, Natascha Trellinger Buswell3, Stanley Lo4
the virtual labs for the course PHYS 303 offered atOld Dominion University (ODU), the proposed development techniques can be readily extendedto other courses that utilize these common instruments, including courses offered by universitiesand high schools. A preliminary user study conducted with the first lab module in the coursePHYS 303 demonstrated the effectiveness of the virtual lab.1. IntroductionIn the evolving landscape of educational technology, virtual labs have emerged as an importanttool, offering an alternative to traditional laboratory experiences. With technology's continualadvancement and integration in educational settings, virtual labs are increasingly gainingprominence. This trend is particularly evident in the fields of
Science and Management is the largest major, have beenrequired to complete an industrial internship in the Sophomore year. While the internship coursecan be taken during a long semester, most students enroll during the summer. Prior to 2015, thedepartment’s internship requirement was in the senior year, but was moved earlier in thecurriculum upon the request of the department’s industrial advisory boards and based uponliterature supporting this timing [1]. Part of the reasoning behind the change was to engagestudents in the profession at an earlier age, which was expected to help improve retention rates.One measure of student engagement is sense of belonging, which is also tied to student retention[2].BackgroundAccording to the 2022 Associated
a wider array of learning tools withoutimposing supplementary financial burdens or prerequisites. 1. IntroductionUse for digital twins has increased greatly in the last decade. Starting with the pandemic, a needfor digital learning accelerated the research and use of this technology. The physical system wastraditionally a singular physical object or machine. Now the systems have increased in complexityand with the use of modern technology can model intricate systems including social structures,economical systems, biological beings, or engineering physical systems. [2] This was the first seenused in NASA’s Apollo program and was quickly adopted by the industrial and manufacturingindustry to model manufacturing processes and product
. Dr. Robinson has over twenty years of K – 12 teaching experience, including seven years as a teacher leader of professional development in the Next Generation Science Standards, the Common Core State Standards in Mathematics, and in elementary science and engineering pedagogy.Erin Lacina ©American Society for Engineering Education, 2024 Impact of Professional Development in Culturally Relevant Engineering Design for Elementary and Middle School Teachers (RTP, Diversity)AbstractEffectively teaching engineering within a culturally relevant framework [1] has the potential todramatically increase student engagement, outcomes, and representation within STEM
traditional University campuses. As the big University campuses are trying toexpand their reach, the satellite campuses are becoming popular in terms of increased access tohigher education, enhanced community engagement and reduced costs. The students fromunderserved areas can now attain higher levels of education and improved job prospects withincreased economic mobility, via satellite campuses. Hassani and Wilkins [1] suggested theperceived quality of teaching, organizational identification, and institution reputation weresignificant predictors of student’s satisfaction leading to direct and mediating influences on theirstaying in the higher education program. The small-scale campuses allow the educationalinstitutions to foster a strong
,behavioral intention to use, perceived usefulness, and perceived ease of use. GPA andvoluntariness had significant relationships with actual use and perceived usefulness. Housing hadno effect on any of the TAM factors. This study provides valuable insights into how students'unique backgrounds shape their educational journeys, insights which program managers and neweducators can utilize to inform the design of new programs.Introduction. In early March 2020, the World Health Organization declared an outbreak of a novelcoronavirus a global pandemic [1]. As COVID-19 guidelines were rapidly put in place, requiringsocial distancing and closure of many public places, including most schools and universities,who had to quickly pivot to distance
PerceptionsIntroductionIn today's rapidly changing educational landscape, it's essential to cultivate an early interest inSTEM (Science, Technology, Engineering, and Mathematics) fields to shape the futureworkforce and enhance global competitiveness. Students often choose their educational andcareer paths based on their experiences and knowledge [1]. However, American secondarystudents' lower math and science scores compared to other industrialized nations are concerning,as it could impact the US job market's ability to remain at the forefront of innovation [3].Furthermore, students from Rural Independent School Districts (R-ISD) often face limitedresources and limited access to specialized academic programs or exposure to high-techindustries. To address this
Mechanical Engineering from Imperial College London in 2010. Alex’s research focuses on the transfer of learning between various courses and contexts and the professional formation of engineers. ©American Society for Engineering Education, 2024Implementation of a stand-alone, industry-centered technical communications course in a mechanical engineering undergraduate program Jenni M. Buckley PhD1,2, Amy Trauth PhD1,3, Alex De Rosa PhD1, David Burris PhD1 1 University of Delaware, College of Engineering 2 University of Delaware, College of Education and Human Development 3
reliability and maintainability as designcriteria. Incorporating these skills into engineering education to ensure better industrypreparedness in the graduates is very important.Maintenance, Replacement, and Reliability Engineering course emphasized the importance ofincluding these criteria through project-based learning. Authors had a chance to redesign thiscourse using project-based learning activities for the first time. project-based learning is a methodof instruction in which learning outcomes are obtained through students addressing open endedinquiries. J. E. Mills, et al. [1] demonstrated that project-based learning is more effective comparedto the traditional teaching techniques in the engineering education. H. A. Hadim, et al. [2]discussed
Yoi Tibbetts University of Virginia Kenneth E. Barron James Madison UniversityIntroductionLow student success rates in introductory math courses represent one of the most common andcritical barriers to college graduation rates across the United States [1]. The causes of thisproblem are multifaceted and vary across institutions, but based on a wide range of nationalreports, math instructors often are not provided the training or resources necessary to bestsupport student learning [2].Professional development for math instruction is most commonly focused on curriculum andtechnology tools to support instruction. A critical, yet often overlooked component
, particularly in the first year.IntroductionTeamwork is an important skill for engineering students and is often a key component of first-year engineering courses. Research has shown that to foster development of teamwork skills,activities should be carefully structured with ample opportunities for practice, constructivefeedback, monitoring, and reflection [1]. One well-established way to develop teamwork skills iscooperative learning, which is a structured form of group work [2]. Cooperative learning is basedon five important tenets: mutual interdependence, individual accountability, face-to-facesupportive interaction, guided practice of interpersonal skills, and regular self-assessment ofteam functioning [3]. Oakley et al. [4] provide a comprehensive
, which can furtherthe understanding and impact of formative peer feedback in first-year engineering courses.I. IntroductionIn an increasingly collaborative and globalized world, effective teamwork is an essential skill forengineers [1]. To help students develop teamwork skills, project-based learning (PBL) courses,including first-year cornerstones, have become a component of most engineering programs [2].However, having students work in teams on an engineering project does not necessarilyguarantee effective teamwork is practiced or that students further develop their teamwork skills[3]. Peer evaluation systems, such as Comprehensive Assessment of Team Member Effectiveness(CATME), have been developed to help instructors monitor team dynamics and
-trained tutors.At the beginning of a WATTS tutoring session, students provide an elevator speech to the tutors,summarizing the content of their reports. The researchers hypothesize that the tutors, as ageneral audience, are more likely to see the problem from a broader perspective. Also, studentsmust explain the reasoning behind their choice of a solution, both of which have the potential toenable the students to improve their critical thinking skills in their discipline. By explaining theirprojects, students have the opportunity to identify gaps in their own understanding [1]. WATTStraining materials have been adapted to include this aspect of the content of students’ reports.This study was conducted in the first semester of a two-semester
issues.Introduction and Literature ReviewFemale representation has continuously been an issue within computing, including computergaming. As women are stakeholders in educational software and make up roughly half of thepopulation, it is essential they see themselves being represented accurately and positively.Gender Representation Issues in ComputingWhen digital computers became a practical reality in the 1940s, women were the pioneers inwriting software for the machines. At the time, men regarded writing code as a secondary, lessinteresting task, as the real “glory” lay in hardware design [1]. When the number of coding jobsexploded in the 1950s and 1960s, employers looked for candidates who were logical, meticulous,and good at math. In this respect, gender
address those needs. Some of the initiatives like community-led urban farming projects, training programs, or cooperative models that empower and benefit thecommunity are taken into consideration to enhance such collaborations with the community atlarge.1.Introduction1A. Sustainable Robotic AgricultureThe global population is projected to reach 9.7 billion by 2050, placing immense pressure on foodproduction systems1. Concurrently, environmental concerns such as climate change, soildegradation, and water scarcity pose significant challenges to traditional farming methods. Roboticagriculture offers a promising solution by leveraging technology to enhance efficiency,productivity, and sustainability in food production. Robotic agriculture encompasses
develop an outline for their philosophy statement andthink about what motivates them to serve as mentors. At workshops for DoE researchers, weemphasized how mentoring aligned with their research's broader impacts and diversitystatements.Recommendations for InstitutionsThe National Academies Consensus Report (NAE, 2019) emphasizes seven recommendationsfor institutions supporting effective mentoring practices. Six recommendations are listed inFigure 1. The seventh recommendation focuses on the need to mitigate mentorshippractices. Workshop participants selected a recommendation, discussed it in a round tableformat, and reported to the larger group. On more than one occasion, conversations convergedon discussions about support and reward
keyword in our searches. The SLRprocess and structure/format used in this paper was referred from several existing SLR studies(Borrego, Foster, & Froyd, 2014; Kittur & Islam, 2021; Kittur et al., 2024).Figure 1 shows the Identification and Screening process, where a total of 2055 papers were initiallyidentified, and after screening for duplicates, 1197 papers were identified by screening. Theseexclusion criteria were applied to the papers: papers written in a language other than English,papers where the focus was not on the engineering field or courses that would be studied byengineers, and papers where the focus was not on inclusive pedagogy practices. Our inclusioncriteria were that the papers must be written in English, must focus on
Pathway”, NISTS Conference, Portland OR. 1/2023; Onate, P., Bassett, E., De Sousa, D., Innovation Conference, ”Texas A&M – Dallas College: A New Way to an Engineering Degree” (3/2023); Cedor, T., Bassett, E., Onate,P. TRACS Summit, ”Promoting Social Capital and Environmental Citizenship: Partnership between A&M, Dallas College, and Chevron.” Bassett, E., De Sousa, D., TACAC Conference ”Alternative Pathways to Engineering Majors” (9/2022).Dr. Cindy Lawley, Texas A&M University Dr. Cindy Lawley is the Assistant Vice Chancellor for Engineering Academic and Outreach Programs and is responsible for the PK-12 Engineering Education Outreach Program, the Engineering Academies Program, the Professional and
support them personally and professionally. Ten participant interviews were analyzeddeductively (Stake, 1995) using cultural marginality (Choi, 2001) as a conceptual framework.Data analysis findings revealed three themes to which postdoctoral affairs offices must be moreattentive in the personal and professional journey of postdoctoral scholars of color: (1) preparethem for the transient nature of their positions, (2) smooth their unique work challenges, and (3)address workplace isolation and invisibility. The findings of this study could be useful topostdoctoral affairs offices and postdoctoral advisors in advocating for the needs and priorities ofthis population. By prioritizing and addressing their concerns, such offices can create a
discussion on additional applications of theLogical Model, such as analysis and design of experiments, will be presented in a later paper.1. Introduction and literature reviewLike any scientific study, a simulation project involves a defined sequence of steps. The processbegins with establishing a clear problem statement and study goals, leading to actionablerecommendations to support decision-making. Crucially, after model development, simulationstudies require debugging, verification, and validation. However, some students struggle todistinguish between these terms.Debugging entails meticulously examining a model for errors. This encompasses syntax issues aswell as semantic or logical errors that can lead to misleading output. Fortunately
include rocketry club [1], Baja SAE club [2,3] and Robotic club [4]. Inthe past decade, the advent of Graphical Processing Units (GPUs) accelerated research andapplications in the fields requiring intense computations. Machine and deep learning were thefields that benefited significantly from GPUs as they are computationally, very demanding.Although machine learning and deep learning have been used for decades, ChatGPT was the firstapplication to demonstrate the power and usefulness of Artificial Intelligence (AI) to a publicaudience. Since then, many fields have utilized AI to their advantage. The power andeffectiveness of AI in many fields have led many to believe the next revolution like agriculture,the industrial revolution, and technology
understanding of mechanical vibration theory, we created two analytical-type designprojects. These two design projects are “The design check of a beam under a harmonic excitingforce” and “The vibration isolation and absorber”. They are meaningful mechanical designprojects in which the mechanical vibration theory is implemented. This paper presents the twoprojects, and their implementation and shows the class survey results. Most students agreed thatthe class design projects significantly facilitated them to have a beter understanding of mechanicalvibra�on theory and helped them to establish the connec�on between mechanical vibra�on theory andits applica�ons and the class design projects should be kept for the mechanical vibra�on course in thefuture.1
research.IntroductionDespite decades of efforts to broaden participation in science, technology, engineering andmath (STEM) fields, most professionals in these generally high-paying, high-statusoccupations continue to be white men. In the United States, the STEM job-growth rateoverall is more than twice the average rate for the total workforce [1, p. 201], with most jobopenings in computer science and engineering (CS&E) [2]. The limited representation ofwomen in these fields is apparent: Women comprise just 28 percent of workers in science andengineering fields overall, and even less in CS&E fields [3].These labor-force dynamics also reflect trends in U.S. higher education: Although women’spostsecondary attainment rates exceed men’s, women remain
through auspices ofthe National Academies.backgroundThe practice of engineering is more than the application of scientific, mathematical, andtechnical knowledge to design, develop, build, and maintain devices, systems, structures, andprocesses. It is a creative endeavor with profound cultural, ethical, and social dimensions, andwith the great potential to do good or harm, however intentionally or unintentionally.While it may seem as though considerations of such non-technical aspects of engineering are arelatively recent concern, they have in fact long been on the minds of practitioners [1]. Indeed, aset of papers published in 1922 put forward some remarkably modern-sounding concepts.Alexander Graham Christie, a Johns Hopkins University