. Page 26.456.1 c American Society for Engineering Education, 2015 Design and Implementation of an Inexpensive Laboratory for Providing Hands-on Design Prototyping and Manufacturing Experiences to Engineering StudentsAbstractThe purpose of this paper is to present the machine selection, laboratory design and layout,budget and overall safety considerations when deploying inexpensive hobby level, desktop CNCmachines in an educational setting. Our initial research involved evaluating several (1) inexpen-sive CNC machine hardware kits (ShapeOko I, ShapeOko II, Zen Toolworks and an in-housedesign), (2) CNC machine electronics (parallel and USB) and (3) software packages (for
analysis uncovers whether team memberscorrectly perceive the relationships among their teammates. These initial findings openopportunities for future work on the role social network analysis can play in the analysis ofcollaborative learning.1. IntroductionReal world engineering design problems are frequently solved by teams; therefore, as educators,we are required, both by ABET and common sense, to give students the skills and attitudes thatenable them to work effectively in teams. One of the key skills is the ability to engage incollaborative learning with team members. In the process of acquiring the knowledge necessaryto solve the design problem, collaborative learning gives students the opportunity to both learnfrom and to teach their peers
study and program completions activity by the National Center forEducation Statistics, which is located within the Department of Education and Institute ofEducation Sciences. The codes are used to characterize data on student majors, degrees granted,courses taught, and can be used to crosswalk academic preparation with related occupations.Every CIP Code is comprised of a 6-digit number—ie 15.0612—where: Digits 1-2 indicate a broad area—ie 15 refers to all engineering technologies and engineering related fields of study. That is, all instructional programs that prepare individuals to apply basic engineering principles and technical skills in support of engineering and related projects or engineering-related fields
including real-time video processing systemshave compelled the Electronic System Level (ESL) community to switch over from RegisterTransfer Level (RTL) languages such as VHDL and Verilog to higher abstraction levellanguages such as C/C++ in order to reduce the overall design time and improve the productivityof system-level designers. Recent improvements in High Level Synthesis (HLS) tools hasallowed for the development of highly-optimized video processing systems [1-2].Real-time image and video processing applications employ computationally intensive algorithmsthat demand high computational power. High definition images or video frames contain anenormous number of pixels and large number of complex operations is usually performed oneach of these
structures to later carry outexperimental work.e. Experimental tests that can correlate to the finite element analyses mentioned above. Inaddition, damping properties are also determined.Hands-on laboratories including finite element analyses and experimental tests are highlyencouraged by ABET [1] and are commonly performed by R&D departments in the industry todevelop new products. In the past there have been other ASEE works related to the topicspresented here [2],[3].2. Classification of composite materialsA composite material is produced combining two different constituent materials with the purposeof creating a material that will have some advantages over readily available materials. There areseveral types of composite materials.o Single
adapted by other programsas they prepare for accreditation.1. IntroductionThe Gannon University BME program has instituted a common assessment rubric for eachABET, Inc. outcome a-k adding one additional program specific outcome. It is important tonotice that ABET does not mandate a specific assessment methodology. What is presented in thisarticle is what has been effective for the institution in the last accreditation cycle. The rubricswere employed to present student learning outcomes during the Fall 2014 evaluation visit. Thesame rubric is used by each professor to assess the corresponding outcome that is pertinent to Page 26.790.2his/her course
device.Background ResearchBraille is a writing system created by the Frenchman Louis Braille used by the blind1. It uses 6-dot cells and each alphabetic letter is represented through a specific pattern in braille. Due to itsuniversal use, Grade 2 English Braille system and its numerical representations will be used forthis project. To represent the numbers 0-9, the braille letters representing the first 10 alphabetsare used. Figure 1 displays a representation of Grade 2 English Braille2 system; at most four dotsare needed to represent the numbers 0 through 9.Figure 1: Grade 2 English Braille alphabet and numberDesign ConceptsIn braille, each number is represented as a cell which consists of a variable pattern of four (4)raised dots; to represent the hour
learning strategy use and success among students traditionally underrepresented in postsecondary education.Mr. Michael Keith Brewster, West Virginia University ©American Society for Engineering Education, 2025 NSF IUSE - Teaching Engineering Students How to Solve Story Problems: Confidence of Judgement During Problem SolvingIntroductionProblem-solving is at the heart of engineering. Broadly speaking, problem-solving has beendefined as “a goal-directed sequence of cognitive operations” that is essential for everydaysituations [1-2]. In engineering programs, students are trained to become proficient problem-solvers.Engineers tackle a variety of problems, and story problems, also known as word problems
research workshops, field trips to local companies, and lesson plan design. Compared tothe first year, the research mentors were more experienced in assigning research topics andworking more closely with PSTs in the second year of the program. This paper provides detailson the commonality and changes in the second year’s implementation, in comparison to the firstyear. Some follow up activities from the first cohort is also reported. Overall, PST participantsfound the research experience with their mentors beneficial not only to them, but also to theirfuture students according to our findings from interviews. 1. Introduction The Industries of the Future (IotF), comprising artificial intelligence (AI), quantuminformation science (QIS
represents the square root of –1. However, this reasoning appears logically inconsistent.There is nothing imaginary about the symbol i or its use.This paper treats the following interesting topics in the theory of functions of a complex variable:1) sensible introductions to Euler’s i that conform to the way engineers and technicians usethe symbol in analyzing alternating current circuits and mechanically vibrating systems;2) the derivation of the algebraic and topological features of the complex plane and acomparison of these features to the properties of “real” numbers;3) the description of the isomorphism between phasors and combinations of same-frequencysinusoidal oscillations that underlies the theory of alternating current analysis
inrelating the coordinate systems between a robot and a machine vision system.While students can utilize math software to compute robot kinematictransformations, they have problems verifying their answers. In this paper, a threedimensional vertically articulated robot is created to help students visualize thelocation and orientation of the end effector. Students can check their robotkinematic answers based on the joint encoder values set up at each joint. Inaddition, a camera is also mounted on the robot for the students to relate an objectlocation from the camera coordinate system to the robot world frame.1. IntroductionA robot is typically connected by a series of links and joints. A robot hand, or endeffector, is attached at the end of the wrist
/computationalanalysis courses, and industry stakeholders. The engineering backgrounds on the panel werevaried and representative of the engineering profession. The Delphi technique is a method todrive consensus among a group of experts or panelists. It involves a questionnaire to which theanonymous participants respond [1]. The researchers process the responses, which are sent backto the participants anonymously in subsequent rounds to drive consensus [1]. This studyinvolved three rounds, which is frequently or typically used [2-4].Delphi Panel. The Delphi panel for this research was primarily recruited from the publicationsuncovered during the initial literature search on engineering judgment. We contacted the authorsof these publications via email and
; ConstructionAbstractArchitectural Engineering and Construction (AE/C) students’ self-efficacy and interest can beincreased by showing engineering impacts on the real-world. Classroom access to real-worldexamples can be challenging, but virtual and augmented reality (VR/AR) can enable access.Virtual/Augmented-Reality-Based-Discipline Exploration Rotations (VADERs) modules usedreal-world engineering examples to engage students in understanding the five subdisciplines ofAE/C. To maximize the benefit of VR/AR, students’ immersion in these learning experiences isnecessary. The purpose of this study was to determine the extent to which students experienced aflow state (absorption and fluency) in VADERs. VADER-1 was implemented in first-year AE/Cintroductory courses at three
, uncertainty analysis, hypothesis testing, design of experiments,statistical process control, linear and nonlinear modeling, and multivariate statistics in Excel,Minitab, and Matlab. These courses are required courses for mechanical engineering students ata large, land-grant University in the western United States. Mechanical Engineering has abachelor’s degree in mechanical engineering (ME) and a bachelor’s degree in biomedicalengineering (BME) that includes coursework in mechanical engineering (9.6% BME, 1st year,and 8.3% BME in 4th year course). The only non-mechanical engineering majors in this studywere 1 physics major, and 3 engineering science majors in the 1st year course. Students in both courses were unaware of the study when they
strong science, technology, engineering, and math (STEM) workforce is essential and critical in advancing the economy and society of the future. But the U.S continues to trail the world in math and science. And also the number of U.S students pursuing a STEM career or educating is decreasing as mentioned in [1] – [3]. A change in the way math is taught and presented in the classroom is urgently needed. Instructors need to be able to engage the students in learning by communicating that the study of mathematics and its objective is not to study math for math sake but to be able to apply it as a tool to solve the world’s complex and essential problems. The topic of sustainable energy is no longer a topic reserved for scientists and
toacquire conceptual understanding of the topics taught. Consequently, a course’s assessmentshould at least in part evaluate this conceptual understanding. 1 To achieve this, there are multipleassessment methods that could be used, as for example essays or oral exams. However, many ofthese methods require a very high time investment on the part of the instructor, which is, in manycases, simply not possible. For large classes, multiple-choice tests are among the most efficienttypes of assessment. Although much care has to be taken in their development, machine-basedscoring of multiple-choice tests can significantly reduce an instructor’s work load, freeing uptime for more face to face interaction with students. However, one main point of criticism
, Physics, and Computing CoursesIntroductionFirst-year students enter college with diverse backgrounds and varying levels of preparedness fortheir higher education journey. These prior experiences and skills, encompassing both academicand social competencies, significantly influence their overall college experience.Pre-academic skills play a crucial role in facilitating the transition to college, especially in STEMfields where students are required to pass introductory course credits. Students with strongacademic foundations typically adjust more easily to college coursework compared to those withweaker skills.1 Academic resources such as tutoring, advising, faculty interaction, and libraryservices can mitigate the challenges associated with this
STEM disciplines, with directimplications for engineering education.MethodsInclusion & Exclusion CriteriaTable 1 presents the criteria applied to determine whether papers were suitable for inclusion.Studies were required to focus on STEM instructors’ adoption of active learning in highereducation, explicitly report research methods and findings, and address challenges orstrategies associated with implementing active learning.Table 1. Inclusion & Exclusion Criteria Criteria Inclusion Exclusion Electronic Electronically available title and No abstract available citation abstract Language Reported in English Reported in any language
materials under service (andsevere) conditions. The Structures and Materials Laboratory course is a 1-credit writing-intensive laboratory course taught to students pursuing undergraduate degrees in civilengineering technology and construction management. Since students previously completedcoursework in construction materials and construction methods, the purpose of this course is tofacilitate an advanced understanding of construction materials and to reinforce key structuraldesign concepts. Objectives include identifying various modes of failure as well as evaluatingthe role of materials in various modes of structural failure. For several years, a number of failurecase studies have been incorporated into the course to enhance student learning. It
ME 4010 System Dynamics II. Equations (1) and (2) present the governing equation and its corresponding transfer function of the temperature control system. y (t ) + y (t ) = Ku (t − td ) (1) 𝐾 (2) G(s) = 𝜏𝑠+1 𝑒 −𝑡𝑑 𝑠 Where y(t) is the output and u(t) is the input. K is steady state gain, τ is the time constant and td is the time delay of the input. Fig.1 presents a comparison between the experimental and simulated step responses for K=0.752, τ=211 s, and 𝑡𝑑 = 30 s. Fig. 1 Comparison of experimental
. Additionally, using scaffolding techniques helpslearners progressively develop programming skills. However, determining the appropriate size ofeach conceptual unit depends on factors such as the learners' aptitude and experience.In this paper, we present a data-driven approach to designing auto-graded activities in our online,interactive STEM textbooks, focusing on effectively breaking down complex concepts intosmaller, more achievable steps for learners. We analyzed two types of activities: 1) activities onchallenging topics as reflected by high struggle rates and 2) activities on introductory topics withlower struggle rates, but where students still needed assistance based on their feedback andincorrect submissions as they began learning programming
research advisors, andadministrators alike to help inform policy, student support, and best practices.Keywords: veterans, GI Bill, graduate students, diversity, exploratory factor analysis.IntroductionEnacted in the 1940s, the Servicemen’s Readjustment Act and its successors—commonlyreferred to as to the GI Bill—increased student veteran enrollments in college and contributed toincreased diversity, perspectives, programs on campus [1]. Since then, the succession of GI Billsenacted since 1944 has facilitated over one million veterans attending college [1] and contributedsubstantially to the development of the U.S. skilled technical workforce. Despite historicallyhigh military student enrollments in college today [1], student veterans and service
of the design are a subroutine STACK and a higher capacity, 4K word by16-bit, memory (MEM). The complete data path is shown in Figure 1. STACK BUS A BUS B BUS C 12 PC IR A1 A2 1 REGS 2 2 MUX
total student population of 34,000and a Carnegie classification of “Research Universities (high research activity)”. Page 26.389.3One significant motivation for and utility of this project is to explore the utility of a conceptinventory for purposes of outcomes assessment. At Marshall University the outcomes of theengineering hydrology course in which this concept inventory was used are: 1. Application of hydrologic principles such as precipitation, evaporation, and infiltration in solving engineering analyses. 2. Conduct analysis of urban and rural watersheds using hydrographs, land use and soil type abstraction estimations
2033 [1]. STEM jobs offer median annual wages ($87,750), almost double that of non-STEM jobs ($45,700), with over 93% of STEM roles paying above the national average [2]. Advanced degrees also yield substantial salary premiums, with Master's degree holders earning 18-33% more than Bachelor's degree holders in STEM fields [3]. • National and Regional Needs: Computer science and mechanical engineering are highlighted as in-demand majors due to their alignment with national trends and regional economic demands. For example, Ohio's manufacturing industry contributes 17% to the state's gross product and employs 700,000 workers. Growth in software development, cybersecurity, and industrial engineering aligns with the need for a skilled
these resources, and overallsatisfaction with the course.1. IntroductionFor the past 5 years, the Joint Engineering Program (JEP) at Cañada College has provided agroup of participating California community college faculty a framework for sharing onlineteaching techniques and curricula designed to be delivered via streaming webcast from theclassroom. Participating faculty are trained in the use of tablet-enabled notebook computersduring the Summer Engineering Teaching Institute (also at Cañada College), and a key elementto the success of this program is the sharing of presentation materials that are annotated duringlecture as if on a virtual whiteboard. The approach requires no post-processing by faculty, andallows remote students to ask
course that includes the useof a 3D printer, Microsoft Excel®, Powerpoint®, and Google SketchUP. The students wererequired to analyze, design, and optimize a truss using experimentally obtained mechanicalstrength data of tested polyactic acid (PLA) plastic members in both compression and tension.The students were then asked to construct a poster summarizing their findings, which includes:final dimensions, member forces, sample calculations, and a three-dimensional drawing of thefinal designed truss.ImplementationThe truss optimization assignment was incorporated into the classroom in the Spring 2015semester, to a class of 57 students. The course topics and associated number of lectures aresummarized in Table 1. Each lecture was 55 minutes.Table
fact ensures complete mastery – by EVERY student. These two advantages of modifiedmastery learning – cost savings and improved learning outcomes – are compelling, and the caseis made that most learning in higher education should adopt a modified mastery approach.IntroductionThe king is dead. Long live the king. Historically, this proclamation was made when onemonarch died, and a new monarch ascended to the throne.In modern times, often this proclamation is used to note a sea change, which is defined as anotable transformation. For example when music downloads surpassed CD sales in the UnitedStates (US) in 2012, one might have heard the phrase, “The Sony Discman is dead. Long liveiTunes,” [1]. Or more appropriately for engineering educators in
work explores the impacts the course hadon student understanding of energy issues. Both student work and student surveys wereexamined. Due to small class sizes, a more qualitative and in-depth approach was taken. Fromthis it was found that within the area of terminology, the concepts of power and energy causedsignificant issues for students. Furthermore, quantifying the impacts of technology from asustainability perspective, especially with respect to society and the environment, provedchallenging. With these specific areas identified, it will be up to future work to find mechanismsto address these pitfalls in subsequent offerings of this and other related courses.1. IntroductionEnergy conversion and other resource usage are foundational
education.Keywords—NLP, Hidden Curriculum, Survey, Affect, Sentiment Analysis, Engineering,Engineering EducationIntroductionHidden curriculum (HC) refers to unwritten or unacknowledged messages, values or perspectivesthat are often not communicated or conveyed directly which significantly affects learningexperiences of students [1]. The exploration and identification of mechanistic HC pathways inengineering are tied to emotions, self-advocacy, and self-efficacy [1]. Within the HC pathwaysmodel, emotions are believed to be an igniter of decisions that spark action [2]. These emotionscan vary from happiness, excitement, sadness, fear, and anger [3], [4] and depending on theperspectives of the individual, each emotion can be classified as being positive