printedparts for which the design files are publicly available (see Concluding Remarks). The total costfor this kit is less than $100 USD retail. Data acquisition and hardware interfacing are conductedthrough industry-standard computational packages like MATLAB/Simulink, LabView, orArduino IDE and the system allows for sufficiently fast sample rates (350Hz - 450Hz) with noproprietary software or plugins. This paper describes the design and educational outcomes of asub-$100 take-home 2nd-order mechatronics kit designed to match the learning objectivesafforded by a traditional laboratory experiment.Dynamic SystemsExperimental platforms such as Educational Control Products (ECP’s) torsional 1 and rectilinearplants 2 (Fig. 1) are examples of traditional
study is informed by the need to address the well-documentedunderrepresentation of low-socioeconomic status (SES) and minoritized students in engineeringand other related careers [1]–[3]. Researchers advanced that, in addition to intellectual andscientific reasons, low-income students are attracted to the major by the potential prospect ofemployment after completing a degree [1], [4]. Financial considerations are critical for low-SESengineering students; this includes considerations of financial aid and differential tuition [5].Programs such as the National Science Foundation Scholarships in STEM (S-STEM) have beenimplemented to address financial assistance of low-SES students. This study is part of alongitudinal five-year S-STEM project
-layer or point by point gradually, providing increased freedom ofdesigning the model of the complex structure, rapid customization, lower production waste, rapidprototyping, and the use of materials for printing which includes metal alloys, composite ofpolymers, concrete, and ceramics. Due to the widening of the horizon of the uses of 3D printing,machine learning (ML)-based technologies have been used to improve 3D printing processes. 3Dprinting technologies have been widely applied in many fields, including aerospace, medicine,industry, and beautification. Also, additive manufacturing has been used in biologicaltechnologies, known as 3D bioprinting, which will be widely used for medical or daily purposes[1],[2].In-situ defect detection is
learning experience for students.1 Introduction and GoalComputer numerical control (CNC) mill is vital for many engineering and manufacturing practices.However, learning to use it, especially for a beginner with little to no experience, can bechallenging. A virtual simulation can serve as a good learning tool for operating a real CNCmachine. That way anyone could learn the process of using a machine such as this without thesafety hazards that could happen if certain precautions are not taken. A virtual CNC machine wouldhelp students with learning how to operate a physical machine in practice. Not only is thesimulation safer to learn, but it is more engaging. Allowing students to have interaction with themachine will vastly improve the learning
well as its ability to adapt to challenges and crises. This response could be seen fromindustrial manufacturing facilities that developed protocols and procedures to remain openthroughout the pandemic to continue producing a number of essential items [1]. Manufacturingeducation faced a challenge as well namely, how to continue providing experiential learning tostudents under the restrictions created by the COVID-19 pandemic. At the New Jersey Instituteof Technology (NJIT) this required addressing the operation of the NJIT Makerspace, whichserves as a platform for manufacturing and experiential education. The NJIT Makerspace is an advanced manufacturing and research and developmentfacility [2]. This 10,000 square foot facility not only
literature findings indicated the commonality of challenges faced by capstoneprograms regardless of timing, engineering major, program profile, or type of institution. Among thesurvey results were the following: (1) Due to COVID-19 conditions, 44% of the respondents reportedcomplete cancellation of this event while 56% reported conducting some form of virtual exposition. Thework represented in this paper supports an intention to be agile enough to adapt to any situation along thiscontinuum - and likewise be posed to adjust when our capstone programs must react to emergingcircumstances in the future.IntroductionCapstone Design flourishes when teammates, clients, advisors, and instructors are face-to-faceand are physically working hands-on at their
BackgroundInstitutional culture change has been an important topic in higher education for manyyears, but this is keenly felt in STEM fields, where much research has documented thebenefits of student-centered pedagogies and the simultaneous struggle to promote thespread of such teaching methods [1, 2]. Evidence based instructional practices (EBIPs) andstudent-centered learning are two key aspects of institutional change [3, 4]. Literature hasshown that when instructors have a fixed mindset, they are less likely to be successful inimplementing classroom changes [5].Reflective faculty peer observation has been a focus of recent culture change efforts in agroup of Northwest universities [6–8]. The work has confirmed that discussions betweenfaculty about teaching
onlycreating relevant, contextually fit solutions for clients, but also by providing resilient responsesto the changing constraints and opportunities external and internal to the organization.Unfortunately, the value-adding role of designers and indeed design project successes can behindered by inadequate management of organizational tensions that persist over time and arewidely experienced as paradoxical. Adopting the concept of ‘polarity management’ by BarryJohnson, this paper aims to unpack the nuances of two particular polarities: (1) Design Rigourvs. Cost Effectiveness, and (2) Collaboration vs. Efficiency.The data are drawn from a larger grounded theory study on sociotechnical knowledge integrationin engineering design. Semi-structured in-depth
studypresented the different types of uncertainty faced by students, how they managed them, as wellas how that impacted their design performance. Implications of this study include a betterunderstanding of the various ways students dealt with uncertainty, suggestions for how educatorscan help students manage uncertainty more effectively, as well as increased knowledge of waysthat CAD can be used to help students manage uncertainty in engineering design tasks.Keywords: uncertainty, engineering design, CAD, design thinking.Introduction Engineering design is a complex process that typically involves open-ended and ill-structured problems that often come with uncertainty, such as insufficient information or unclearrequirements [1], [4]. In
tactics, the first being restructuring the Civil Engineeringcurriculum to create unique opportunities for nontraditional faculty-student interactions andrelationships [1].One of the central components of the restructured curriculum is the creation of a sequence ofcourses (Springer 1, Springer 2, Junior Studio, and Keystone Design) that incorporate skills andconcepts presented in the traditional Civil Engineering courses offered at Clemson. However,these courses differ from the norm in that they employ a project-based learning approach,thereby exposing students to a collaborative environment consisting of their peers, teams offaculty members, and stakeholders from the greater community. This sequence of coursesculminates in a Keystone Design
of Women Engineers. During my college career, I have been an active member and held the position of Education Director. American c Society for Engineering Education, 2021 Mapping Trajectories of Researcher Development with Qualitative Longitudinal Analysis: An Executive SummaryIntroductionThe concern for communicating scientific findings to the public audience has been a persistentissue in the research community[1], [2]. While science, technology, engineering, art, andmathematics (STEAM) researchers usually communicate their findings to others in the researchcommunity, there are also opportunities for researchers to present and connect with
the face of the mask. The particle collecting mode and forces that areimplemented to lower the particle loading depend primarily on particle size and, for theelectrostatic interaction, the material composition. Figure 1 illustrates the different particlecollecting modes, where the interceptor could be a fiber in a material. 2 It is important to emphasize that the thickness, porosity, and fiber diameter of the material,as well as the velocity of the particle-laden air at the face of the material, i.e. the face velocity (U0),all influence the collection efficiencies. The face velocity through a mask can vary based on thesource of the
, homework has been splitinto two components, the first (Category 1) dealing with the first three levels of Bloom’staxonomy, and the second (Category 2) dealing with the upper three levels. Category 1homework has been administered electronically and as Mastery-based, while Category 2remained traditional. A concept inventory developed is used to assess Category 1 leveloutcomes. Results are compared between Fall 2019 and 2020. Results indicate statisticallyinsignificant differences due to small class size, but educationally significant results. An anomalyin incoming student quality, as measured by performance in pre-requisite course, complicatedanalysis. Further work will be conducted to study long-term effects of such implementation.Introduction
during the undergraduate years. In order to achieve it, only academiccounselling is not enough; it needs a more intimate ‘mentoring’ for both incoming Freshmen andoutgoing Senior undergraduates. During the present crisis of COVID-19 and in the post-COVID-19scenario thereafter in engineering education, when online instructions are rapidly replacing in-presencelectures at the undergraduate level, mastery learning is even more important in order to avoidprofessional limitations, and in the long run of lifelong learning, professional obsolescence.Key words: concentration, COVID-19, online instructions and lab experiments, academic counselling vs.mentoring.IntroductionIn one of the Indian epics, Mahabharata [1], the master archer, Drona, was teaching
lab improvement answers a needof addressing relevant technical issues, but our metrics did not show substantive improvementcurrently.IntroductionA theoretical design of a lever was used for many years in the Mechanical EngineeringTechnology program in the upper level Mechanical Design I course. In fall of 2015, this wasconverted to an applied lab to better meet ABET Engineering Technology AccreditationCommission Student Outcome 3a [1]. The lab was modified to include input for anisotropicproperties. Coincidently, Zhang at the 2015 ASEE Annual Conference in a conference papertitled “Understanding Additive Manufacturing Part Performance Through Modeling andLaboratory Experiments.” [2] suggested having an applied lab for anisotropic
of consistent work assembling increasingly complicated models toaccumulate that level of knowledge [1]. Math, science, and engineering courses are wheretomorrow's experts begin their development.Calculus and differential equations are standard prerequisite courses in engineeringprograms. Significant time, typically fifteen semester credit hours, is dedicated to teachingmathematics to engineers, but how is this math really used? In the spring of 2019, Dr. Brooks, acalculus professor, enrolled in Dr. McDonald’s engineering statics class. She wanted to see howthe math she taught in Calculus I, a prerequisite to the statics course, was employed. Theresulting experience was enlightening for both professors, the authors of this paper. Math
Southern University Assistant Professor Department of Mechanical Engineering Georgia Southern University American c Society for Engineering Education, 2021 Work-in-Progress: MATLAB Marina: The Primary Resource for MATLAB in a Freshmen Computing Applications for Mechanical Engineering CourseIntroductionCurrent research on the effectiveness of Virtual Learning Environments (VLEs) for teachingprogramming shows positive results, including the reinforcement of concepts from lectures,exposure to practical applications and problems, and the ability to meet diverse pedagogicalneeds [1]-[6]. VLEs are used as supplements in courses or in the engineering
Succeed: Learning Approaches and Strategies of First-Year Engineering Transfer StudentsAbstractThe Evidence-Based Practice paper describes the learning approaches and strategies used byengineering transfer students in a design-based foundations course. Studying the learningstrategies of engineering transfer students is important because the population of engineeringtransfer students is increasing, and is often more diverse and underserved than the generalpopulation of entering engineering students. This type of student presents a largely untappedsource of engineers to address the current national shortage [1], even though attrition rates oftransfer students from engineering programs is highAlthough a large number of studies
just technologyconsumers; they can use these abilities to impact the world. Policymakers have taken action toempower CT education worldwide [1], yet, not all countries have acknowledged the need forthis knowledge like Kuwait. According to the Human Development Index (HDI) in 2020,Kuwait ranked 63 out of 189 countries, with the lowest HDI score among neighbor's countries.This paper aims to measure awareness of CT in educational institutions to propose a plan thatcan promote CT in the Kuwait education system. ISTE developed a CT Model to guide theway to implement CT in K–12 education [2]. To efficiently allocate the resources, educationalresearchers suggest first estimate stakeholder awareness of the concept [3]. Because CT is arelatively new
—how we define it, how students perceive it, and how to measure it—an interest that continues to inform her work. American c Society for Engineering Education, 2021 Measuring Changes in Students’ Engineering Practice Skills in a Project-Based LaboratoryIntroductionUndergraduate engineering curricula across the United States are largely designed to preparestudents to enter industry upon graduation, yet studies over the past decade have suggested a gapbetween what is emphasized in this curriculum and the competencies that are most useful inindustry [1-4]. These studies indicate that important competencies are often underdeveloped inthe
“sustainability”and/or “systems” exemplify the multi-faceted and multi-disciplinary problems that requirestudents (and professionals) to demonstrate cognitive flexibility.Cognitive Flexibility Theory (CFT) was suggested as a means to understand how students learnin complex and ill-structured domains and thereby improve problem-solving performance [1]. Inthe CFT literature, there is no clear consensus on a definition of cognitive flexibility or how it isdirectly measured in a complex problem-solving situation such as engineering design projects.One common definition of cognitive flexibility is the ability to switch between thinking abouttwo different concepts and being able to think about multiple concepts simultaneously (forexample, multiple design
(for engineering context) 8-item, validated instrument focused on longer-term,maintained interest. The methods that follow were developed to explore a multi-subfactordepiction(s) (from literature) of maintained interest, including conceptualizing and analyzingstudent responses. Two associated research questions thusly addressed in this study are: 1) whatis the strongest factor structure for measuring the construct of first-year engineering students’long-term, stable maintained interest in the choice of pursuing an engineering career?; and 2)how strong is the fit of theoretically-grounded structural models of the construct of first-yearengineering students’ maintained interest in engineering careers? Results show significantempirical support in
the dimensions for both the T-test and Repeated Measures ANOVA.Overall, the study had a positive influence on the students’ understanding of global perspectivesand further practical significance are discussed.Introduction and BackgroundAs we move towards the new industrial revolution, engineering work will become global,diverse, and complex. With the increasing demand of engineering from a global perspective,students will be required to explore new ideas and use enhanced creativity when solvingtechnical problems [1]. To prepare engineering students for successfully transitioning to theglobally connected workforce, engineering educators need to explore different ways to helpdevelop students’ understanding of global perspectives through
the lab for offering the physical activities isdesired as soon as it is safe.1. IntroductionDuring the global pandemic of 2020 and its corresponding shutdowns, activity-based courses withlarge enrollment, requiring face-to-face interaction, are not considered safe. Many classes aretransitioned to a virtual environment in an emergency situation, posing a complex challenge forinstructors to ensure their students meet the course learning outcomes. An important aspect of anactivity-based course is hands-on work with guidance from faculty, teaching assistants, and others.Activities, traditionally used throughout our first-year mechanical engineering class at TheUniversity of Texas at Dallas, are physical, conceptual, or based on simulations [1-5
problem-solving in many fields of engineering. Thesediagrams are critical in Mechanics and related topics. They are often taught to students in the firstphysics or statics courses due to the prevalence of free body diagrams in engineering problem-solving. Two popular statics textbooks [1], [2] introduce free body diagrams in early chapters justafter explaining vectors and fundamental laws of physics. Rosengrant et al. showed that studentswill use free-body diagrams even when they do not receive credit for drawing them and thatstudents who can correctly draw diagrams are more successful in solving problems correctly [3].Furthermore, Sweller showed that using the visual aid of a free body diagram helps reduce theproblem's cognitive load and
learning and development as researchers: (1) social science researchin design education, (2) mixed methods research, and (3) evidence-based teaching. To that end,we strategically invited engineering education research mentors to our team, deliberatelystructured our mentor conversations with literature readings to foster growth, and purposefullydocumented this process by continually responding to reflection questions in a professionaldevelopment journal. Our approach to include our own professional development in ourResearch Initiation in Engineering Formation grant has proven instrumental in collecting dataand in connecting us with the engineering education community.Choosing Mentors and Developing a Mentoring PlanOur engineering education
to increase the number of low-income, academically talented students with demonstrated financial need who begin theirengineering education at two Hispanic-Serving California Community Colleges; transfer to ahighly-selective, predominantly white public institution; and then are retained in and graduatewith a B.S. degree in engineering, and enter the STEM workforce or graduate program. Thebroader project also seeks to transform our institutions and the relationships between them toprioritize transfer student success via the utilization of the Essential Transfer Practicesframework created by the Community College Research Center at Teachers College and theAspen Institute [1]. The identified Essential Transfer Practices are designed to
NativeAmericans in Science, Technology, Engineering, and Mathematics (STEM). Increasing diversityin STEM is a desirable asset; diverse groups show more engagement in active thinking andstronger academic skills [1]. Additionally, diversity in engineering “makes teams more creative,solutions more feasible, products more usable, and citizens more knowledgeable” [2, pp. 73–74].There have been mild upward trends in engineering bachelor’s degrees awarded to URM andwomen over the past decade; however, the numbers are still low. In 2019, URM studentsobtained only 20.8% of awarded bachelor’s degrees in engineering, and women represented22.5% of awarded degrees [3]. The trend of underrepresentation of women and racial / ethnicminorities extends to the science and
enrolled in courses within the engineering studies program. This paper willdiscuss the collaboration developed between the high school and college students, how thementorship program was delivered, and how the program successfully helped future engineeringstudents to establish their engineering and future STEM identities.IntroductionVarious sources indicate that women have earned only 18% of the engineering degrees awardedin the United States and Canada [1], although girls do not lag behind boys in grades or test scoresin either math or science [2]. Consistently low populations of women in engineering are oftenattributed to discrimination, the perception that engineering is a masculine domain, and the lackof understanding about the roles and
circuit (I2C) protocol. For labprojects, engineering requirements, software code or flowcharts, and schematics are provided.IntroductionIn an Electrical Engineering Technology program or Computer Engineering Technology program,there are many courses that use embedded systems to meet the program requirements. Theformat for these courses is often to teach C/C++ programming, with embedded hardware andsoftware as a core component to the course. An example is the usage of a Programmable System-on-Chip (PSoC 5LP) device in engineering technology programs for embedded applications [1-2]. This device is programmed in C and utilized in a variety of courses for many laboratoryprojects. Another device is the BeagleBone Black (BBB), which can be programmed