; project-based learning.Introduction We examine here the short-term impact of a hands-on, project-based intensive summerexperience for undergraduate students. Motivated by prior research showing that creativity isdriven largely by specific curiosity (1) and that positive project outcomes are correlated with thesense of ownership (2), we proposed and delivered a 10-week intensive (40 hours/week) summerprogram to undergraduate students majoring in STEAM. We recruited from a diverse pool ofapplicants (64 undergraduate applicants from 14 different majors). The selected cohort included10 undergraduates, 3 high school students, and one graduate assistant. The diversity in majors(Biology, Computer Science, Bioengineering, Game design, Psychology
Identification based on Vibration Signals using Machine Learning Nektaria Tryfona1, Daniel Newman2, Taimoor Qamar1, Ayush Dhar1, Sindhu Chava1 1 The Brandley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University 2 Boeing Research and TechnologyAbstractThis paper highlights an industry-driven Project-Based Learning (PBL) activity focusing on thedevelopment of Machine Learning algorithms for Anomaly Detection to be used in vibrationdiagnostics centered around the analysis of aircraft equipment. Students worked alongside aBoeing
(PBL), suspensionsystem, dynamic vibration absorber.1. IntroductionIn many fields, an entrepreneurial mindset (EM) enhances the ability to identity opportunities, torecognize the impact of changes and to create long-lasting value. EM is the precursor toentrepreneurship that focuses on business ventures1. In engineering, it recalls recent technicalachievements and equips the engineers with the ability to impact society and the world aroundthem2. There are three key elements in the EM. Curiosity: Our students need to be curious about our changing world and about a contradiction to our accepted solutions. Connections: Our students need to connect information from other sources with their own discoveries
product.KeywordsProduction, Experiential Learning, Hands onIntroduction & BackgroundThe US Bureau of Labor defines the profession of Industrial Engineering as “Design, develop,test and evaluate integrated systems for managing industrial production processes, includinghuman work factors, quality control, inventory control, logistics and material flow, cost analysis,and production coordination”1. Other definitions include the term manufacturing operations inplace of “production”2. However, a key term of any industrial engineering definition isproduction, where production can be defined as “the process of making … goods to be sold”3.Introducing and exposing students to production can be quite challenging. While productionconcepts can certainly be described and
module has also been developed for a mechanicalengineering training course (Scaravettia & Doroszewski, 2019). The study of Scaravettia &Doroszewski (2019) noticed that the relevant information about the complexity of a mechanism isextracted easier with the support of AR modules. This result also suggests the potential ability toshorten and enhance learning process in the specific mechanical engineering training (Scaravettia& Doroszewski, 2019).Methodology Researchers developed an AR application (ARCADE) in Creo Parametric, Unity Engine,and Vuforia platform. Image targets are technical drawings with projected views of a 3D objectscreated by Creo Parametric (Figure 1). The application installs on mobile devices and track
American c Society for Engineering Education, 2021 Building Self-efficacy and Interest in Engineering through DesignIntroductionAn NSF study that was completed in 2007 entitled Investigating the Gender Component inEngineering [1] studied factors that promote interest in engineering among undergraduatewomen at several institutions, including at Dartmouth. Elements of the culture and courses atDartmouth that were identified by Craemer’s study [1] to promote interest in engineering amongundergraduate students who identify as women included the use of a collaborative problem-solving approach, flexibility in the curriculum, focus on real-world problems with socialsignificance, and the interdisciplinary nature
Communication(BCOM) course work in teams on a hypothetical Corporate Social Responsibility (CSR) project.Students identify a social need in their community and develop a plan to address the problem.Teams also identify companies that could be interested in funding the project. While the projectis hypothetical, it mirrors actual CSR efforts undertaken by organizations to enhance theirreputations and images.As papers presented at recent ASEE conferences show [1], engineering students, just likebusiness students and students from nearly any major, need to develop professionalcommunication skills. To address this need, a partnership between the engineering and businessschools has made it possible for the engineering students to receive specialized training
complexity and scale of the types of problems engineers solve[1]. Students’capability of working effectively in engineering teams is cognizant among employers in industrywho seek to hire new talent into their organizations [2]–[4]. One of the Accreditation Board forEngineering and Technology (ABET) student outcome criteria is to have the ability to functioneffectively in high performing teams. This requires universities to better prepare students withteamwork skills and to incorporate teamwork as an important part of engineering curriculum [5]In today’s world of engineering, companies are shifting towards working in larger team sizes dueto the complexity of solving engineering problems [6]–[8]. Engineering programs need to findways to effectively
futureresearch. Lastly, unexpected component inclusions/exclusions are discussed as a final point ofinterest. This work serves as a first step towards validation of this new mental model elicitationmethod and the related scoring rubrics and is a contribution to ongoing research on mentalmodels of engineering systems. As we continue to explore how students learn about engineering,it is important that educators and researchers have a way to reliably measure studentunderstanding of various systems during their undergraduate and graduate degree programs.1. IntroductionAll of us have mental models of the world around us. These mental models help us understandhow things work, where things are, and what things do. However, we each have unique mentalmodels
basicfriction problems. Figure 1 shows an example of a sample pre-test question where students willbe asked to solve for unknown external forces acting on an object involving friction.Figure 1. Pre-test sample question.1 Reprinted from Vector Mechanics for Engineers: Statics & Dynamics, (p.442), F., Beer et al, 2016, McGraw-Hill Education.Group 1: Embedded-Formatting ExamplesFollowing traditional instruction students in this group will be given a worked example that issetup using embedded-formatting, which will be used as reference material to solve a similar in-class problem. At the end of class students will be given a homework assignment, where theywill be provided another worked example utilizing embedded
-centered learning experience that emphasizes faith, leadership,inclusiveness, and social responsibility. For example, the St. Joseph House of Faith in Action is anew residential volunteer-supported construction which will eventually be a home base forvolunteering and connecting in the community. A recent study found that a clear majority of studentswere willing to volunteer for weekend community service projects post-graduation [1]. A smallermajority were even willing to forgo some salary as a professional engineer working at a companyknown for its support of community activism.Engineering FYS students lean on their background and/or inclination in engineering design andconstruction to help carry out their particular service project. In past years
differentenvironments, cultures and other phenomena, which may or may not be easily understood oraccepted. Reflection is a form of mental processing, according to Moon [1], which can bedirected at a specific outcome, such as building knowledge of a different culture in order torespond with intercultural competency [2]. Participants also develop meaning by comparingtheir new experiences to prior ones, and recognize that other ways of life are no less worthwhilethan their own. This last realization arises from reflection, according to Kember, McKay,Sinclair and Wong, who considered reflection as a re-examination of beliefs [3].Moon proposed a framework for reflection consisting of four stages, from descriptive to highlyreflective writing, where the final stage
to render abstract concepts in graphical representations and extractcorrect spatial information from the structures’ drawings. Spatial ability is defined as theprocesses of constructing, maintaining, and manipulating three-dimensional (3D) objects inone’s mind [1, 2, 3] and considered to have multiple subfactors [4, 5] such as spatialvisualization, spatial orientation, and speed rotation [6]. Research studies that discussed theroles of spatial ability in engineering education have primarily focused on the spatialvisualization, which is the main factor of spatial ability [7]. Some widely used spatialvisualization tests in engineering education [8, 9, 10] include the Purdue Spatial VisualizationTest: Rotations (PSVT: R) [11], the Vandenberg
recommendations to update the textbook everysemester. Now in its 11th edition,1 the textbook is significantly easier to read, has far fewertypographical errors, and includes new material the students requested. This paper discusses theprocess of continual improvement and the effects the textbook has had on student success overthe 5 years of its use.IntroductionWithin the last half century, Continual Improvement Processes (CIP) have become part of theculture in manufacturing and service industries. A key part of Kaizen and other CIP methods isto solicit and implement ideas from the employees, rather than from costly outside consultants.2Involving and empowering employees can reinforce a sense of teamwork and improve employeemorale, leading to higher
order to stimulate and motivate students to master thematerial, which proved to be very successful. It has been observed that new approach improvedthe final scores in the course as well as student satisfaction with this approach of presentingmaterial as well as testing their understanding of the required material. The paper presentsresults from two years of teaching the course with the current approach, along with lessonslearned from this experience.IntroductionTeaching/learning process is an age long human activity of passing knowledge from person toperson [1]. The process has experienced progressive transformation over time as people wereobtaining deeper understanding of the cognitive science [2] and were provided with diverse toolsto perform
PROJECTSAmy E. Trauth, PhD1; H. Gail Headley, PhD1, Sarah Grajeda, PhD1; Dustyn Roberts, PhD3; Jenni M. Buckley, PhD2 1 University of Delaware, College of Education and Human Development 2 University of Delaware, College of Engineering 3 University of Pennsylvania, College of EngineeringIntroductionTeam-based projects are widely used in engineering courses, particularly product or processdesign courses in disciplines such as mechanical, chemical, civil, and biomedical engineering[1]-[6]. While the intention of team-based design projects is to provide all students with adiversity of technical and non-technical
portable web-service.While there are other works on efficient ways to create teams for the senior design project, ourapproach combines the robustness of some prior approaches with the portability of modernsoftware solutions. A genetic algorithm was used by researchers at the University of NorthCarolina, Charlotte 1 for the same problem, to varying degrees of success. The inputs to thealgorithm were binary choices (yes/no) for each project, based on the student’s ranked top 3preferences. Our approach, however, allows students to bid on projects, dividing up their points tobetter indicate their relative interest in projects. Typically, the form will enforce splitting uppoints across at least 4 − 6 projects, allowing us to gauge more than just the
, demographic surveys, and three tasks. Descriptive statistics and statistical tests provide insights.Performance discrepancies between IT and non-IT backgrounds are statistically significant. Feedback indicatespositive perceptions of low code. 1. Introduction In recent years, the intersection of technology and education has undergone a profound transformation, withemerging paradigms reshaping traditional approaches to teaching and learning. One such paradigm that hasgarnered increasing attention is low-code development—a revolutionary approach to software creation thatempowers individuals, regardless of their technical background, to design and deploy fully functional applicationswith minimal coding expertise. Low-code platforms provide
, have emerged as critical platforms for fostering creativity, problem-solving, andentrepreneurial skills among engineering students. These events not only provide participantswith opportunities to apply their technical knowledge and collaborative abilities but also exposethem to real-world challenges that mirror those faced by professionals [1]. A recent study alsofound that ICPs improved students self-awareness and open mindedness [2]. However, despitetheir potential benefits, ICPs are often accompanied by significant barriers that may hinder thebroad participation of all student groups, especially underrepresented students in STEM.Addressing these barriers is crucial for creating inclusive and effective learning environmentsthat address the
four-bar mechanism often involves multiple objectives and constraints, such asminimizing mechanical stress while maximizing motion efficiency or achieving a specificmotion trajectory. ML algorithms, particularly optimization techniques like Genetic Algorithms(GA), along with more advanced AI methods such as deep learning, can automate and improvethis process by efficiently searching through a large space of design possibilities. [1, 2, 3] GAsmimic natural selection processes, evolving better designs through iterations. In four-barmechanism synthesis, GAs can optimize the estimation of parameters related to link lengths andjoint positions to achieve desired motion profiles (e.g., coupler curve shape or motion path)without manually solving
225,500 graduate STEM degrees were awarded in the U.S.; 181,000 being masterdegrees and 44,500 were doctoral degrees [1], [2], [3] . According to the National ScienceFoundation (NSF) [4], URM graduate students only earned about 9% of the overall doctoraldegrees awarded in 2015 and about 13% of undergraduate degrees. This evidence suggests thatSTEM doctoral programs in the U.S. are severely deficient in representation from students ofdifferent racial and ethnic groups. This is a disturbing historical and contemporary trend thatuniversities should pay close attention because of the implications on America’s ability tocompete on a global level with nation states succeeding at preparing individuals for careers inSTEM fields.The participation of URM
; and teaching engineering. American c Society for Engineering Education, 2021 A Reflective Evaluation of a Pre-College Engineering Curriculum to Promote Inclusion in Informal Learning EnvironmentsIntroductionWithin the United States, pre-college (K-12) students spend approximately 80% of their dayoutside of school [1]. During the remaining 20% of their day, students in United States publicschools spend the least amount of time receiving science-related instruction compared to readingand math [2]. In addition, other disciplines like technology and engineering may not be availableto students during their school day. The accessibility and quality of science
that support underrepresented high school students interested in STEM. Thesearch resulted in a full-text review of 25 articles that explore programmatic outcomes for pre-college students with the intent to diversify the STEM workforce. Initial findings suggest that thegoal of these intervention programs is to provide enriching experiences for these students toencourage interests to pursue a STEM career as well as boost confidence in STEM subjects.Metrics used to target the effectiveness of programs revolved around three criteria: (1) studentacademic achievement in science and math, (2) matriculation through a STEM major and (3)competency in engineering-oriented skills. Three common recommendations for more robustprograms are well-prepared STEM
builds on our earlier study [1],which developed a conceptual model of belongingness among international engineering doctoralstudents based on their interactions with faculty, peers, and staff. A literature review informedthis conceptualization and revealed a lack of consistency in the conceptual structure ofbelongingness in both higher education and engineering education. This work will include thefollowing: 1) a brief review on the varied characteristics of sense of belonging (e.g., definitionsand constructs/defining components) in different context (e.g., K-12 education, undergraduateeducation, graduate education, and community) among different populations (e.g., adolescents,undergraduate students, underrepresented students, and adults), 2) a
. The previousday, the participants had met separately as a group of white women and a group of women ofcolor. Our efforts are informed by several theoretical frameworks: (1) internalizedoppression (2) self-efficacy and resilience (3) transformative change; (4) thought mapping foraction; and (5) building alliances for policy reform. This paper will discuss the results of anassessment conducted in parallel with the events and as a follow up.IntroductionWomen come bearing different histories, sizes, skin tones and hair color, yet, in a highlygendered society, they share many of the same experiences. Women are often are oftenoverworked, underpaid, undervalued; still, they remain a formidable force to be reckoned with,especially when we come
approachis often achieved through programs such as the Summer Engineering Experiences for Kids(SEEK) program. SEEK is a three-week summer program organized by the National Society ofBlack Engineers (NSBE) to expose children to hands-on, team-based engineering designprojects. The purpose of this work-in-progress paper is to discuss the data analysis process usedto examine shifts in children’s perceptions of engineers as a result of participating in theprogram. Children’s perceptions were captured using prompts asking them to either (1) drawthemselves as an engineer or (2) draw an engineer. Each SEEK participant received one of thetwo prompts. In this paper, we considered the inclusion of Critical Race Theory concepts toextend the qualitative analysis
from the community participating in laboratory work 24 hours perweek over the course of 1 semester with Saturday session for professional development ofall women students. Primary outcomes for the program was to increase interest in STEMcareers, confidence in lab skills and engineering design process, learned persistence,particularly in research. Additional objective were for mentors to gain mentoring skills, andthe formation of community to foster belonging. 5In the first iteration of the WRAMP program, affectionately call WRAMP 1.0, 1 graduatestudent was paired with 1 high school student. Research was designated for 2-4 hours foreach high school
as well as general participation in programs andevents aimed to benefit current students. Over the past three years it has become increasinglydifficult to recruit volunteers for WE@RIT’s largest event, an accepted student overnight calledWE Retreat; and the rate of no-shows at events targeting current students, called Kate’s Hours,has skyrocketed in some cases. For example, WE Retreat saw first-year student volunteerparticipation rates drop from 72% of total WE Retreat volunteers in 2010, to 36% of total WERetreat volunteers in 2019 (Fig. 1). This is a problematic trend given that up through 2019 amajor draw of the WE Retreat program was to allow prospective students to experience anovernight in dormitory housing, which first-year students
experience in industry as a software engineer, and three years as a full-time faculty in the departments of computer science and engineering. Her interests focus on broadening participation in engineering through the exploration of: 1) race, gender, and identity in the engineering workplace; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields.Dr. Matthew W. Ohland, Purdue University at West Lafayette (COE) Matthew W. Ohland is Associate Head and the Dale and Suzi Gallagher of Professor of Engineering Edu- cation at Purdue University. He
graduateprograms. The groups, consistently mixed in gender and ethnicity, get an opportunity for directinteraction with fellow PC participants, practitioners and academics, and leaders in the field andof the MTT society. This interaction is central to the success of the program, and the integrationwith IMS is representative of the important role that professional societies can play indiversifying STEM participation [1]. PC has been in operation since 2014 [2-5] and is sponsoredjointly by the National Science Foundation and the IMS Organizing Committee.ProgramThe agenda for the four-day event at the IMS combines professional development with funactivities intentionally programmed to incorporate the local culture of the IMS host city and thethematic focus