Paper ID #240942018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29Quantitative Analysis of Barriers to Completion of Engineering Degrees forFemale-Identifying and Under-Represented Minority StudentsNancy Mariano, Seattle University Nancy Mariano is a first generation college student, of Pacific Islander heritage, attending Seattle Uni- versity. She is currently majoring in Computer Science and minoring in Mathematics and is scheduled to graduate in June 2018. Upon graduation her plans are to spend two years gaining industry experience as a software engineer
and lets students know their instructors care about theirlearning experience. As expected, since the implementation of SCTM we have observed asignificant increase in the number of questions students asked. This is a direct result of ourintentional approach of implementing the “E – Engaging” component of SCTM.2.3 E - ExamplesWe developed worked-through examples beyond what is available in textbooks to providestudents chances to practice and solidify their learning. This inductive learning process is knownto be effective. We usually release the example problems first, giving students a chance to reflectand apply concepts learnt in class to the problem, then hold classroom discussion and step-by-step problem solving sessions, before releasing
technical content through competency-based experiential learning. c American Society for Engineering Education, 2020 Attendance and social interdependence in game development labs.AbstractThis is an exploratory research study aimed toward steadying attendance across a semester ofhigher education video game development labs with attention to cooperation as a co-factor.Following the observation of unusually strong attendance in a highly cooperative gamedevelopment lab class which aligns with these theories, this paper seeks to explore whethersubfactors of positive social interdependence are co-factors with lab attendance. Sparked byprevious case data, this exploratory study examines data from the Fall 2019
attitudes and behaviors in SDL settings,and knowledge of the roles that curricula can play in aiding students’ SDL development.Defining Self-Directed LearningOne of the greatest challenges associated with self-directed learning lies in its definition. Oftenengineering educators consider it as a single skill that individuals either have or lack. In reality,the development of SDL aptitude involves a complex interplay among nearly every aspect ofhuman development. Individuals become self-directing through mastery of a broad range ofskills, attitudes, and knowledge that enables construction of understandings and managementprocesses for their thoughts, motivations, actions, and interactions with their learningenvironment.11,12,13,14 Self-directed
understanding and communication of the underlying geometry (vs. formalism). Applications to loads, forces, moments, centroids, work, and energy. 3 weeks of 2-D parametric and vector valued functions. Mimicking the notation and language of the 3-D material that begins Calculus III at Boise State.Previously, redesigned Calculus II was delivered as a collection of independent single sectionswith little to no governance beyond a common text and a suggestion of content coverage (thetraditional list above). We replaced this with a master course specifying all homework, quizzes,exams, daily lesson order and content, and overall grade weighting. The master course wascopied to each individual section, with the understanding that
Paper ID #45392Assessing Student Adoption of Generative Artificial Intelligence across EngineeringEducation from 2023 to 2024Jesan Ahammed Ovi, Colorado School of Mines Jesan Ahammed Ovi is a Ph.D. student in the Computer Science Department at the Colorado School of Mines, where he works as a Research Assistant under the supervision of Dr. Estelle Smith. His primary research area is Human-Computer Interaction (HCI), complemented by prior experience in Natural Language Processing (NLP) and data mining. Jesan was previously a faculty member at East West University. He also contributed to the ”GenAI Adoption at Mines” research
more broadly as a departmental resourceand to determine how different groups of students use and perceive the videos, as well asdetermine how they have been impacted by ME Online.3. Assessment planAs noted in the research purpose statement above, the goal of this study is to examine the impactof the ME Online video library on undergraduate students holistically. The authors did notexamine the impact of individual videos or individual subject areas on student learning, norexamine the impact of the website design on the student experience. While knowledge of suchinformation could be quite useful, it was beyond the scope of the study.To understand the impact of ME Online, a mixed methods study was designed. This sort ofmixed methods approach
Engineering Education (ASEE) [1]. World War II curtailed the activities of bothgroups. After the war, however, the engineering librarian communities in ACRL and ASEE grewquickly, offering new opportunities for professional development, networking, informationsharing, research, and advocacy.This paper seeks a deeper understanding of the academic engineering librarian community in the1940s and early 1950s through the analysis of data compiled from the Directory of CollegeEngineering Library Personnel [2], published in 1949 by the Engineering School LibrariesSection of ACRL and supplemented by data from other sources such as Who’s Who in LibraryService [3]. The Directory is a rich source of data that includes details such as position titles,degrees
of things. According to him, this can mean a big picture of the overall course,or a big picture of each individual concept. He contends that the ability to see the big picture notjust help students to learn better but it also keeps them motivated and curious.On the other hand, Felder & Silverman (1988) talks about students with varying levels ofsequential and global learning styles. While some students may want to start with knowing thebig picture of things, others might get overwhelmed by the information. The pre-recorded videosproved to be very helpful to achieve the goal of helping each student learn through their ownpreferred learning style. Initially the pre-recorded videos were provided to students one week inadvance and the idea
alltransfer students. Therefore, the researcher has deliberately and thoughtfully narrowed his focusto Hispanic students who transfer from selected Texas two-year colleges to this university.Research QuestionHaving determined the importance of examining the experiences of this particular studentpopulation, the researcher set out to answer the following question: What are the mostmeaningful learning/developmental experiences that motivate Hispanic students to transfer fromselected Texas community colleges to a four-year engineering program?This question effectively targets the types of diversity delineated above, allowing the researcherto focus on the chosen segment of his university’s student population. The question also helpsthe study move beyond
programs and resources designed to assist community col- leges, particularly rural and Hispanic Serving Institutions (HSIs), through a rigorous process leading to improvements in their capacity building, infrastructure, and proposal development efforts that support and better serve students in their STEM education and career pathways pursuits. VanIngen-Dunn has built her career on years of experience as engineer and project manager in human crashworthiness and safety design, development and testing, working for contractors in commuter rail, aerospace and defense industries. VanIngen-Dunn has an MS degree in Mechanical Engineering from Stanford University and a BSE degree in Biomedical Engineering from the University
Copyright © 2004, American Society for Engineering Educationsystem2. The initiation and development of information system projects cut across all fields ofengineering.The decision to invest in an information system requires proven economic analysis. Informationsystem projects are technology projects intended to meet the information processing needs of anorganization. These projects are beyond software development. IS projects are unique projectswith several distinguished characteristics, such as the level of professionalism involved, theirhigh technological nature, time sensitivity of projects, and intense collaboration of differentstakeholders. They are also subject to several conditions of risk as a result of the combination ofthese
graduate courses in teacher action research and gender and culture in science education. Her research interests include girls’ participation in science and engineering; teacher’s engagement in action research; and science teachers’ integration of the engineering design process to improve science learning.Jeffrey D. Radloff, Purdue University, West Lafayette Jeff Radloff is a graduate student in the Department of Curriculum and Instruction at Purdue University. His research interests include the examination of K-12 teachers’ enactment of engineering design. c American Society for Engineering Education, 2018Exploring the Use of Approximations of Practice in the Context of Elementary Teachers’ Attempts
treatment systems. A major element used toassess student learning is a culminating project that asks students to critically review anonsite water reclamation or reuse technology, identify lessons learned from an onsitecase study, or design an onsite treatment system for a specific application. During coursedeliveries in 2014 and before, non-technical considerations focused on regulatoryrequirements and project owner needs. In 2016 and 2017, a different instructor integratedsocio-economic and cultural considerations, through course content focused on onsitewater, sanitation, and hygiene (WaSH) efforts in developing countries, as a major coursetheme. To assess whether students valued the integration of non-technicalconsiderations, 22 student projects
. In this paper, we will present in detail theresults of a survey of the Integrated Science and Technology alumni and students (from this pointon, we’ll refer to them as participants) who passed through the all-class project-based coursefrom 2010 to 2013. We will demonstrate quantitatively just how effective and valuable thecourse approach has been by using a number of metrics including the impact of this course on theparticipants’ careers and current jobs. Some of the metrics include how important participantsrated the course in getting a job, whether the course was referenced at all during the job interviewprocess and how prepared the participants felt for these interviews. Also, adopted as a metric isthe value of the students’ contributions
. Furthermore, students learn to optimize complex structuresusing a revolutionary design method called Generative Design. Integration of advanced CAD,FEA, CFD and optimization provide students with hands-on skills, teach them how to work onMultiphysics design projects in a team through synchronous and asynchronous communicationtools, and better prepares them for departmental capstone design series coursework, as well as,numerous technical electives.Introduction Computer aided design (CAD) tools, along with engineering analysis software for finiteelement analysis (FEA) and computational fluid dynamics (CFD) have been increasinglyadvancing over the last several decades. These advancements are occurring not only because ofever-increasing performance of
potential, particularly in elevated regions (Figure 5, right). Wind energy has already seen 5some adoption for electricity generation, with further expansion anticipated. However, otherrenewable sources such as biomass and geothermal energy have yet to be significantly exploited,despite their considerable potential. Biomass exploration is primarily limited to academicconsiderations at West Virginia University (WVU) [15]. Similarly, geothermal potentials areknown, but not considered beyond theoretical ideas [13]. With targeted investments and policysupport, WV has the potential to establish itself as a leader in renewable energy within theAppalachian
aircraft into the Matlab simulation environment for a given flight condition. Initialcondition for the dynamic model as well as control surface deflections can be input through theGUI. Additionally, closed loop control gains can be assigned for specific aircraft controlproblems. As can be seen from the Figure 1, the stability and control derivatives for the specifiedflight condition can be displayed on the GUI. Another feature of this GUI is the ability to modifythe stability and control derivative values. The mathematical integration of the aircraft equationsof motion for specified flight condition with given initial conditions and/or control surface
scarcity maps; climate change impact on water supply15. Guest Global development and urbanization; May be discussed onspeakers: China pre-fabricated buildings rapid homework 7construction construction exampleengineering &managementStudent interest and awareness of global issues were assessed via questions on a pre-survey andfrom their submitted homework assignments. The surveys are described below to provide acontext for interpretation of the results. Very little data is available from 2006 because thestudents submitted hard copies of assignments, and they were no longer available forexamination. In 2007 the course had a different instructor, so beyond the initial survey data
of low-income college students, there existtendencies in metacognitions and feelings among this group that systematically operate toprevent academic success and retention in STEM fields. This lack of diversity can negativelyimpact innovation in STEM majors through a lack of diverse perspectives and untappedpotential. The lack of low-income students in STEM is also problematic, since STEM careersare generally high paying; the continued education of certain groups of people at the exclusion1 Miami University, Oxford, OH This work is supported by NSF EEC Award 1530627.of those from lower-income families intensifies the stratification of wealth in society [3]. Thispopulation of students from low-income families may also aid in overcoming a
the actions we take. We expect that actions in these domains will result in three concrete forms of impact: (1) Empowered engineering student organizations to make engineering education more inclusive at the level of peer-to-peer interactions; (2) Actionable organizational policies and effective practices implemented in Colleges of Engineering that disrupt the status quo regarding who gets to participate in engineering education as a student and as a faculty member; and (3) Increased participation and comfort among Black and brown K-12 children in pre-college engineering activities which communicate that an engineering career is an option for anyone. These outcomes map to three strategic
Paper ID #26918Quick Understanding Our Engineering Faculty Research Needs Using TopicModelingMs. Qianjin Zhang, University of Iowa Qianjin (Marina) Zhang is the Engineering & Informatics Librarian at the Lichtenberger Engineering Library, The University of Iowa. As a subject librarian, she manages collection and provides instruction, reference and consultation services for the engineering faculty and students. Her work also focuses on data management education and outreach to engineering students through presenting Data Management topic to an Engineering Ethics course and library workshops. She holds a MA in
Engineering and Technology (ABET) has made anexplicit statement in its criteria that engineering programs must demonstrate that their students arehave “an understanding of professional and ethical responsibility”. Many engineering schoolshave developed various trails to deliver ethical contents, either through creating standing aloneethical courses, or through embedding the ethical topics in traditional engineering courses,typically capstone design. This pragmatic approach has been supported by engineeringprofessional societies such as NSPE, ASME, IEEE, etc. which historically have played a crucialrole in shaping the content of US engineering ethics education (Downey & Lucena 2004). Underthe general principle of “doing no harm”, each association
eliminating waste through continuousimprovement by flowing the product (or service) at the demand of the customer6. Nowadays, there are avariety of different definitions of Lean utilized in literature. Shah and Ward’s review on Lean definitionsconcluded with a simple explanation that summarizes some of the most important characteristics of Leanwork systems. They define it as an integrated socio-technical system whose main objective is to eliminatewaste by concurrently reducing or minimizing supplier, customer, and internal variability7. It becomesapparent that an organization that operates Lean can be seen as a complex STS. The success of a Leansystem depends on the joint optimization of both its integrated technical and social subsystem
nor fuel the ethical objections to emerging technologies. As knowledgeable citizens, the role of ethical engineers and scientists involved inresearch can be envisaged as going beyond educating society passively and becoming anessential part of helping society establish a public policy regarding emerging technologiesthrough properly informing society of the facts. In order for these public policies to moveresearch and development past gridlocks of advancement based on prejudiced perception, theymust encompass middle ground solutions.Keywords: Ethics of emerging technologies, Societal impact, Bioethics, ethics engineering.Introduction To understand the need for ethics in emerging biomedical research it is imperative tounderstand
generationwhen conducted with anonymous participants through some kind of computer medium) [1], [5],[6]. Their work found that anonymity can be advantageous and might improve productivity andcreativity. Since participants were anonymous, they were less reluctant to share ideas due to thefact that other members could not identify who submitted them. Another method for improvinggroup brainstorming is the use of divergent thinking frameworks that blend group and nominalbrainstorming methods. One example is the 6-3-5 brainstorming method, which involves silent,individual—yet collaborative—brainstorming [7]. The approach asks teams of six to spend fiveminutes developing three potential solutions on a piece of paper with a 6x3 grid on it. After fiveminutes
from a practical lab equipment point of view. If somebody did not want to go through the trouble of designing their own equipment [in a particular sector], there was only one option: us. These guys just nailed that market. looking forward, though, for us to grow as a company and to go into new fields or adapt to some of the changing views on control systems in the modern world, you know, we had to, as a, as a company grow beyond that original narrow definition that we were so comfortable in. And that that connected to almost everything that we did, connected to the products we design, how we support it. we create a course material, What does that look like? And, and so rethinking
doctorate in a knowledge economy,” Stud. High. Educ., vol. 36, no. 5, pp. 601–614, 2011.[14] H. Horta, “Holding a post-doctoral position before becoming a faculty member: does it bring benefits for the scholarly enterprise?,” High. Educ., vol. 58, no. 5, pp. 689–721, 2009.[15] L. Yang and K. L. Webber, “A decade beyond the doctorate: the influence of a US postdoctoral appointment on faculty career, productivity, and salary,” High. Educ., vol. 70, no. 4, pp. 667–687, 2015.[16] C. C. Helbing, M. J. Verhoef, and C. L. Wellington, “Gender and the postdoctoral experience,” Sci. Public Policy, vol. 25, no. 4, pp. 255–264, 1998.[17] F. M. Felisberti and R. Sear, “Postdoctoral researchers in the UK: a snapshot at
student experiences, yet it also complicates the evaluation of independentwork and critical thinking. As students use AI in varying degrees, from refining their work to fullreliance, this evolving landscape necessitates reassessing grading methodologies to ensure fair andaccurate assessment. This study examines AI’s impact on student learning outcomes and ethicalconsiderations through a survey of 105 students across three engineering programs at the Universityof North Texas. Results highlight AI’s role in improving research efficiency, conceptualunderstanding, and writing support while raising concerns about over-reliance, academic integrity,and disparities in access. Students express mixed perceptions, with some viewing AI as a valuablelearning
continuous improvement and customization to meet individual student needs. Through the data collected from the student survey, educators can gain insights into the specific areas where AI tools have positively impacted student learning. This information can guide curriculum development, ensuring that the incorporation of AI tools aligns with the desired learning outcomes. Furthermore, the student survey will provide vital feedback on areas where improvements are needed, allowing educators to address any challenges the students face in utilizing AI tools effectively. IntroductionArtificial intelligence (AI) has rapidly emerged as a transformative force across various sectors, andits potential impact on education, particularly engineering education