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Universities and one Community College. The purpose of these meetings is toexamine similarities and differences in the collaboration paradigms and educationalimprovements and to assess the applicability of these paradigms to other institutions. The goal isnot to create a master list of best practices for every institution, but to create a flexible prototypefor helping any university improve inter-disciplinary communication.The authors present survey data results collected through student and faculty surveys, as well asan outline of how they intend to continue the collaboration beyond the scope of the grant.Preliminary results are presented, along with details about the work going on at our institution,outlining successes, challenges and sustainability
Farmingdale State College (FSC) in the Computer Systems Department. She holds a doctoral degree from Pace University, the Ivan G. Seidenberg School of Computer Science and Information Systems. Her dissertation topic was Keystroke Biometric Identification on Long-Text Input. Publications in this area include peer-reviewed journal articles, and a co-authored book chapter, in Behavioral Biometrics for Human Identification: Intelligent Applications. Dr. Villani has been actively seeking funding internally and externally to address gender disparity and broaden participation in the Computing Programs at FSC. The money raised through campus grants and other funding sources was used to provide Women Student Orientation programs
member will be provided a small consultant fee torecognize his efforts on the project.Data CollectionThe primary data collection method for this study was a semi-structured interview method. TheSemi-structured instrument is preferred as an appropriate interviewing format for this qualitativeresearch because in-depth data can be extracted through it [31]. Participants have the opportunityto answer predetermined questions related to the study in an open-ended manner [31]. InSummer 2021, the lead investigator traveled to the campus where MU is located and conductedthirteen (13) individual interviews and two (2) focus groups. (We acknowledge Dr. Eunsil Lee(Virginia Tech) for her support and guidance in developing the interview protocol for this
declare a pre-major.Additionally, some students may be exposed to the different engineering disciplines throughliving-learning communities, student project teams, and other organizations. These types ofexposures are beyond the first-year engineering program, but they may have a significantinfluence in students’ major selection and their learning more broadly.In order to create a representative data set for the disciplines, responses were only analyzed if thestudent answered all three of the surveys. This could be done as students were given an identifierthat persisted throughout each survey. Through the identifiers, we were able to not only track themovements of the students as a group, but the identifiers allowed the students to beindependently
the over 1400 law enforcement students that have gone through trainingcourses at the Southeast Region Forensics Training Center, well over 200 universitystudents have benefited from the training. Our efforts are paying off and should continueto pay off in the future. As the popularity of our program continues to expand, we expectthe diversity of our course offerings to continue to expand.References1. Baum, K., “National Crime Victimization Survey: Identity Theft, 2005”, Bureau of Justice Special Report, November 2007.2. Bogen, A. and D. Dampier, “Knowledge Discovery and Experience Modeling in Computer Forensics Media Analysis,” Accepted for publication in the Proceedings of the 3rd International Symposium on Information and
Economic Future, Washington, DC: The National Academies Press.2) National Research Council, (2010), Rising Above the Gathering Storm, Revisited: Rapidly Approaching Category5, Washington, DC: The National Academies Press.3) St.John, E.P., S. Hu, and A.S. Fisher., (2010), Breaking Through the Access Barrier: How Academic CapitalFormation Can Improve Policy in Higher Education. New York, NY: Routledge4) Elam, C., Stratton, t., and Gibson, D.D., (2007), “Welcoming a New Generation to College: The MillennialStudents”, Journal of College Admission, (195), 20-25.5) Marosi, K. and Steinhurst, Barbra (2012), “Increasing the Retention of Under-Represented Students inEngineering Through Connections with An Industry Advisory Committee,” American Society of
as a basis for laboratory exercises as a means to incorporate design contentinto courses 4, 5 and as an illustration of the multi-disciplinary nature of engineering projects 1.Cases can be taught differently, including through a discussion format, as debates or trials, or asa scientific research project 3. The latter includes providing students with backgroundinformation and a problem to be solved, and having students make hypotheses, developexperiments, collect data, and evaluate results with respect to the hypotheses. Here, the proposedlaboratories will implement case studies based on real industrial problems in the areas ofworkstation and work process design. The case will be similar to the research project format butbe adapted to a
these more advanced techniques. We are adapting the experiments described above to serve as case studies of pilot-scale manufacturing processes. The students will treat the experimental protocol as the scientific basis for making a commercially-viable process for producing the nano-scale material or device. Essentially, we task the students as if a researcher is "handing off" the process to the students who then play the role of development engineers for implementation of a viable production process. The students will develop the process with Lean Six Sigma, and more specifically, work in the DMAIC framework (progressing through the stages of Define, Measure, Analyze, Improve, and Control
critiqued in several ways. Borrego and Beddoes [19], for example, point to underutilization ofavailable critical feminist theories, particularly intersectional, interactional, and masculinity studiesapproaches, that are considered to have substantial potential to benefit the gendered field of engineering.Denton and Borrego [61] suggest that, despite a relative abundance of FoK research in STEM education,FoK work remains focused on K-12 curriculum development and lacks a broader implementation andassessment of its effects on student learning outcomes related to identity, self-efficacy, and belonging.Holley Jr. and Masta [4] critique the “invisibility of whiteness” within critical race research in engineeringeducation, contrasting the numerous
classroom, faculty encounterstudents through a narrow lens that can hide or spotlight particular identities while stereotypingor simplifying more nuanced experiences. Considering the compelling aspect of inclusion thatpromotes acceptance of people with all their uniqueness [18], we argue engineering cultures thatdo not allow students to bring their whole selves are fundamentally at odds with the idea ofcreating an inclusive environment.A student's well-being depends on a wide range of experiences, including many beyond thebounds of the classroom, such as career prospects, living conditions, financial stability, academicpreparation, social connections, and mentor relationships. Alice's story conveys a broad andcomplex story that intersects her
Paper ID #20168The Impact of Community College Students’ Propensity for Innovation onPersistence in STEM MajorsDr. Gisele Ragusa, University of Southern California Gisele Ragusa is a Professor of Engineering Education at the University of Southern California. She conducts research on college transitions and retention of underrepresented students in engineering and also research about engineering global preparedness and engineering innovation. She also has research expertise in STEM K-12 and in STEM assessment. She chairs USC’s STEM Consortium.Dr. John Brooks Slaughter P.E., University of Southern California A former
theeducation provided in the program. The ABET accreditation documentation describe theseachievements as outcomes, for the time of graduation, and objectives, for the defined post-graduation interval. The ABET criteria (d), (f), (g), (h), (i) and (j), half of the full set (a) through(k), relate to the “soft” skills of teamwork, ethics, communication, contextual appreciation, self-development and contemporary knowledge and are easily, and superficially, associated with theaffective domain [1]. However, it is clear that one could study about these areas as an externalfact or learn about them in a manner that embeds them into one’s approach to engineering. Theformer, learn about, outcome treats these areas as cognitive content to be learned. The latter
, her research interests include engineering education, particularly as related to systems thinking, organizational cultures, professional identity development, and supporting the success and ideas of underrepresented students within engineering.Dr. Shanna R. Daly, University of Michigan Shanna Daly is an Assistant Professor in Mechanical Engineering at the University of Michigan. She has a B.E. in Chemical Engineering from the University of Dayton (2003) and a Ph.D. in Engineering Edu- cation from Purdue University (2008). Her research focuses on strategies for design innovations through divergent and convergent thinking as well as through deep needs and community assessments using design ethnography, and
, chapters, and research articles, and presents her research regularly through American Society for Engineering Education Pre-College Engineering Education Division, a division she has chaired. Her current research includes investigating how K-5 students experience design failure and engage in redesign; how simulated classroom environments can be used to help pre-service and in-service teachers practice facilitating argumentation discussions in science and engineering; and how close analysis of student work samples and classroom discussion transcripts can support pre-service teachers’ learning to notice.Prof. Manuel Alejandro Figueroa, The College of New Jersey Dr. Manuel Figueroa is an Associate Professor and chair of
extended to include basic life sciences: The discipline of biomedical engineering seeks to advance knowledge in engineering, biology, and medicine to improve human health through inter- disciplinary activities including: the acquisition of new knowledge and understanding of living systems; the development of new devices, algorithms, and systems that advance biology and medicine and improve medical practice and health care delivery.From the perspective of an electrical engineer, biomedical engineering as a discerniblespecialization can trace its origins to the early part of the 20th century. (3) Physical scientists suchas Herbert Gasser and Detlev Bronk enlisted the expertise of electrical engineers to
the body of knowledge in unique ways. Informal learningresearch does not have to only mean research with children.Related to the network theme, we recommend that researchers identify the network theirpopulation of interest is a part of and then consider the many ways in which one might access thenetwork as a whole. Through those access points, various groups (e.g., children participants,parents, designers, etc.) can be accessed for study recruitment. They do not have to be accesseddirectly by the researcher. This network consideration is especially important in informallearning because the networks which can be accessed expand well beyond those of the traditionalclassroom. While traditional classroom work might consider teachers, students
promote several learning styles: a. Active, b. Inquiry-based/Constructivist, and c.Differentiated. Their unique approach enables students to experiment with variables, testhypotheses, and observe the outcomes dynamically. Their intuitive, user-friendly interfaces makeabstract concepts more tangible, helping learners at all levels—from K-12 to higher education—develop a deeper understanding8-12.The main difference between the first two learning styles lies in the depth of focus: activelearning emphasizes engagement and participation, while constructivist learning focuses onunderstanding and meaning making through exploration. Interactive sims are the intersection ofthese two approaches which can complement each other, creating a rich learning
involves many cognitiveprocesses and soft skills that characterize good designers. The following skills were listed asdescribing good designers. 1) Ability to tolerate ambiguity 2) Ability to apply systems thinking and focus on the big picture 3) Ability to handle uncertainty 4) Ability to make decisions 5) Ability to think as part of a team 6) Ability to communicate in diverse ways Currently, the design process is taught in most engineering curriculum through a first yearor cornerstone course3 and in the capstone course. The process or structure of engineering design,although lacking in a uniform application across all disciplines or even within disciplines, ofteninvolves elements such as determining the clients
, applicable standards, and economic, environmental, cultural and societal considerations (Engineers Canada, n.d.). An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors (ABET, n.d.).Engineering design is accomplished through the engineering design process. There is not a clearconsensus on the design process, with models having differences in terminology used, order ofsteps, and pathways through the model (Carberry, Lee, & Ohland, 2010). However, generally itis shown as an iterative process that goes through 5-8 steps consisting of three primary themes:problem formulation
make military engineers at all ranks valuable candidates for humanitarian, peace, ordevelopment focused engineering programs.IntroductionCombat is not the only form of military engagement. In 2022, the Congressional ResearchService reported 471 deployments since 1798 with 11 formal declarations of war [1]. These factsconfirm that 98% of U.S military engagements are for operations other than war. The 460 otherengagements involved engaging military partners and allies through military training,peacekeeping, humanitarian assistance, and disaster management or response. Theseexperiences give military engineers insight to the challenges that global communities face andthat are addressed through some type of construction project in a community. Some
ethicalobjectives in a more reflexive manner. I perform such an interrogation of two student projectslisted on the Engineers for a Sustainable World’s 2015 Sustainable Homes initiative.Members of grassroots communities frequently engage in designing and developing noveltechnological solutions for locally occurring problems. Such novel technologies, which initiallyemerge through the independent efforts of individuals and groups from communities operating atthe grassroots level of organization, may be referred to as grassroots innovations.1 Grassrootsinnovations may serve as vital points of entry for researchers who are interested in examining theconnections between local design practices, norms and values, and the material environment.2I report learnings
your degree, you will find job opportunities to do what you love to do and make money at the same time - how cool is that? There is nothing more satisfying than knowing you provided a solution to a problem that helped another person/community because you engineered your way through it! There is always room for one more engineer, let it be you!”This woman’s statement aligns with need to go beyond promoting the idea that engineers simplyuse math and science. She explains how engineering is a profession that can encompass largerprofessional goals such as changing the world and helping people.Another woman challenges the idea that engineers sit at desks or that they are focused on narrowproblems, by saying the following
Paper ID #47727Evaluating Engagement and Collaboration in an College Level Online Hands-OnEngineering Course for High School StudentsDr. Lelli Van Den Einde, University of California, San Diego Van Den Einde is a Teaching Professor in Structural Engineering at UC San Diego and the President of eGrove Education, Inc. She has decades of experience teaching hands-on, project-based curricula, spanning high school camps, K-12 outreach, and undergraduate design courses. Dedicated to fostering diversity, she creates supportive environments for students of all backgrounds. Her teaching approach emphasizes scaffolding
. The primary design goal was todevelop an adaptable robotic system capable of responding to sensor data and avoidingobstructions through a distributed network of processing nodes. This manuscript describes theframework for several communication methods including traditional networking protocols usingthe IEC 61850 standard or onion routing, mathematical transformation-based routing, and neuralnetwork approaches while maintaining safety. However, due to time constraints at the time of thispublication the project is still in work-in-progress status and needs further time to implement andvalidate the proposed methodology. The hardware implementation encountered multiple designand manufacturing issues that are documented as lessons learned in this
than would occur by chance, thus mutuality reflectsreciprocity beyond random grouping, due to students having free selection of groups. The records of the Multiple-Institution Database for Investigating EngineeringLongitudinal Development were grouped to establish which students took classes in each other’spresence, a simplified mutuality algorithm was evaluated with this data and probability Weibullmodels were fitted for persisters and non persisters. The models for persisters shown largermutuality scales with lower shapes than those for non-persisters, meaning that they paired withclassmates more frequently than the students leaving. Results suggest that indexes for social networks may be calculated using standard academicrecords
, Robotics and Automation. She went through engineer- ing pathways herself, completing master electrician degree when completing Technical School in Uzice, Serbia, focusing on pre-engineering program on high power voltage systems and maintenance of electro- mechanical systems. Her research is focuses on engineering pathways, career and technical education, digital thread, cyber physical systems, mechatronics, digital manufacturing, broadening participation, and engineering education. She is a Director of Mechatronics and Digital Manufacturing Lab at ODU and a lead of Area of Specialization Mechatronics Systems Design. She worked as a Visiting Researcher at Commonwealth Center for Advanced Manufacturing in Disputanta, VA
others” [1].Professional social responsibility concerns the extent that individuals have a responsibility toserve and help others by virtue of possessing specialized knowledge. ‘Others’ can beconceptualized at a personal, societal, and/or environmental level. Engineering has beencharacterized as a weak profession [2, 3]. There is general consensus that engineers shouldconsider the societal and environmental impacts of their work, embodied through codes of ethics,e.g. [5, 6]. There is also consensus that this attribute should be explicitly taught [7, 8].Engineering ethics education could include both microethics (relating to individual actions) andmacroethics (the collective responsibility of the profession) [9], as well as targeting
classroomenvironment, the ScorBot Toolbox was developed incrementally with the following design goals:(1) Usability, (2) Consistency, and (3) Stability.This paper describes the development and use of the ScorBot Toolbox. The ScorBot Toolboxprovides a series of seamless, self-contained MATLAB functions allowing users to control aSCORBOT-ER 4u, receive feedback from a SCORBOT-ER 4u, model elements of theSCORBOT-ER 4u, and create 3D rendered visualizations of the SCORBOT-ER 4u.This paper is organized as follows: Section 2 describes work to improve the usability of theScorBot Toolbox through installation and version control tools, 64-bit support, and visualizationtools for cross-platform compatibility; Section 3 describes the organization, naming, syntax
about Finite Element Analysis. Morgan & Claypool Publishers, 2013.[18] C. Papadopoulos, A. I. Santiago-Román, and G. Portela-Gauthier, “Initial Results of Introducing Design and Simulation-Based Instruction in Mechanics of Materials,” in 2014 ASEE Annual Conference & Exposition, 2014.[19] A. Raich, “Self-paced, Problem-solving Approach to Teaching Finite Element Analysis in Strength of Materials,” in 2016 ASEE Annual Conference & Exposition, 2016.[20] A. R. Sriram, D. Tolbert, M. Cardella, and K. Ramani, “Bridging the Gaps: Augmenting Design Learning through Computer-Aided Exploration,” in International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American