important precursor toappreciating how those who want to work to improve representation in higher education mightcontinue to do so within the constraints of recent changes to the law. The paper includessuggestions for serving all students in a manner that comports with the new legal landscape.IntroductionIn 2023, the United States Supreme Court (SCOTUS) ruled that colleges may not use affirmativeaction in college admissions [1]. Many states have introduced legislation that restricts diversity,equity, and inclusion (DEI) efforts in public colleges, and several states have enacted suchlegislation [2]. In Texas, for example, DEI offices are no longer allowed, and public colleges maynot, for example, organize a conference that includes DEI activities
students to accommodate in classroom settings and curricula.Epistemology is defined as the theory of knowledge. Thus, personal epistemology is the theoryof knowledge based on personal beliefs and values that are backed up by evidence of their claims[1], [2], [3]. Personal epistemology is thus how the mind relates to knowledge and reality andperceives the past, present, and future. For instance, reading the morning paper and formingjudgments based on personal beliefs exemplify personal epistemology. The judgment in thissituation was based on the individual’s personal beliefs on the new knowledge gained from thepaper.Qualitative studies on epistemological beliefs remain unexamined thoroughly in the Middle East.Qualitative studies are essential
support for the transitioning students during their time in the program. However,students will still pursue their own research agendas.IntroductionWith an increasing trend towards globalization in the STEM workforce, study abroad programsare important in helping the global economy by diversifying and building confident, culturallysensitive individuals who can understand socio-cultural nuances of different people. Highereducation aspires to prepare students for their careers and life and to provide an equitableeducational opportunity. For the first time in US history, we will become a majority-minoritynation in less than two decades [1]. This population shift will change higher education. Giventhis, it is important that those involved in education
tissue engineering and regenerative medicine. Specifically, the work of her research group focuses on three general areas: (1) design and evaluation of biomaterials for therapeutic purposes; (2) application of materials for engineering tissue systems; and (3) advanced engineering strategies for developing in vitro models and culture systems. Dr. Gomillion is committed to the integration of her biomedical interests with education research endeavors, with a specific focus on evaluating classroom innovations for improving biomedical engineering student learning and exploring factors that facilitate success for diverse graduate students.Dr. Dominik May, University of WuppertalDr. Nathaniel Hunsu, University of Georgia
: https://www.linkedin.com/in/ ©American Society for Engineering Education, 2024 Preliminary Investigation of Dimensional Accuracy of 3D Printed PLA – A Project-Based Learning Experience (WIP)1. AbstractIn the past decade, 3D printing has improved significantly and the use of 3D printed parts hasextended to more precise industrial and scientific applications including space and medicalapplications. In subtractive Computer Numerical Control (CNC) machining, such as milling andElectro Discharge Machining (EDM), some tool offsets, applied through the G-code, are usedduring machining to compensate for the tool dimensions and to ensure the dimensions of the finalmachined product match the original
recipient of the Paul and Judy Bible Teaching Excellence Award, F. Donald Tibbitt’s Distinguished Teaching Award, The Nevada Women’s Fun Woman of Achievement Award, and the UNR College of Engineering Excellence Award. ©American Society for Engineering Education, 2024 Revolutionizing Engineering Departments (RED) Projects in the Two-Year College Context: Best Practices for Preparing a ProposalAbstract According to the National Science Foundation website, the Directorates for Engineering(ENG) and STEM Education (EDU) fund projects through the Revolutionizing EngineeringDepartments (RED) program to support “revolutionary new approaches to engineering education[1]”. Within the RED Program, funding
(Practice Paper Category)AbstractTo meet the challenges and opportunities of educating new generations of engineering leadersfor jobs of the future, Engineering Management programs must evolve with a strategy thatintegrates academic education with workplace application. That strategy must address thechanging demographics of technical industries and their workforces. We can meet that challengeby unifying technical leadership fundamentals into an applied experience, internalizingengineering management coursework with a real-life technical leadership scenario that isapplicable across industries.Education research[1] shows that working professional students learn best through case studies,active learning, and project-based activity. This paper
Preparing Future Semiconductor Talent in the Global Context: A Comparative Study of the Semiconductor Engineering Curriculum in the U.S. and Taiwan1. IntroductionDue to the exponential surge in global chip demand and strategic initiatives such as the CHIPSand Science Act to bring semiconductor manufacturing back to the United States, the industry isfacing a severe talent shortage. Consulting companies such as Deloitte have also estimated thatby 2030, more than one million additional skilled workers will be needed to meet the globaldemand in this field [1]. Similarly, the joint report released by The Semiconductor IndustryAssociation (SIA) and Oxford Economics, has projected that after the enactment of CHIPS
, instructors can speak with at-riskstudents and discuss ways to improve. The student grades and discussion boardparticipation datasets are gathered from a graduate-level Electrical and ComputerEngineering (ECE) course at Duke University. Various classical machine learningmodels are explored, with random forest yielding the highest accuracy. This randomforest model, trained on discussion forum participation data, surpasses other similarlytrained state-of-the-art models. Furthermore, related research attempts theclassification problem of predicting what discrete letter grade a student will earn [1].This is not an accurate representation of a student’s performance, and therefore, weattempt the regression problem of predicting the exact percentage a
categories of predictors andmediators of conceptual change including affective, motivational, and self-regulation variables.The implication of this study is also discussed.1.0 IntroductionMisconceptions about basic scientific concepts often stem from students’ innate need to makesense of the phenomena they encounter in their daily lives [1]-[4]. It is common for learners todevelop naïve theories that help them interpret their experiences of the world. Such theories,built up over time, are often in conflict with consensus opinion in the scientific community.Students may also acquire misconceptions from misunderstanding their teachers and from thetextbooks they read – both sometimes are the sources of misconceptions [5], [6].Like any theory
needs. As such, program leaders must work to (1) provideeffective, accurate, and personalized support; and (2) provide information and recommendationsfor curricular developments and resource management. Both efforts rely on a strong foundationof data to inform decision-making. As such, this paper describes the quantitative portion of alarger mixed-methods project, from which the authors identified initial baseline conditions ofstudents’ academic performance in the focal course and revealed potential influential factors asrevealed in a logistic regression model predicting the likelihood of a student to receive a passinggrade. Future plans for educational data mining beyond the focal course are discussed. This worksuggests some opportunities for
education via distance, onlineeducation has become ubiquitous both at the k-12 and higher education levels [1]. Previous tolessons learned by the forced online environment, education via distance had been an area ofexpertise for instructional technologists and others interested in providing opportunities that werenot related to geography and utilizing the relatively new internet technologies [2]. After thepandemic, many more educators were better equipped to conduct courses online, and studentswho had success in the online environment could see the efficacy of online learning. The abilityto offer learning via distance has allowed students to remain in their locales while obtaining adegree from an institution that may be many miles distant, or in
, thereby fostering empathy in design.Amidst the pandemic, the shift to remote interactions offered a distinctive lens to evaluateempathy development in three cohorts of students (N = 118) who completed the 40-itemEmpathy Quotient (EQ) self-report questionnaire pre- and post-course. Results compare EQscores from students who received virtual service-learning experiences (cohorts 1 and 2) versusstudents who received in-person service-learning experiences (cohort 3).Results at pre-course found female engineering students had higher EQ compared to males,seniors had higher EQ compared to juniors and sophomores, and biomedical engineeringstudents had higher EQ compared to civil engineering, electrical engineering, industrialengineering, and mechanical
programIntroductionThroughout the history of the United States, racial and ethnic minorities have faced sociallyconstructed barriers to access, equity, and success. Though higher education policies are nolonger explicitly exclusionary, the campus climates of many colleges and universities are farfrom inclusive. Further, the lack of racial and ethnic diversity at predominantly Whiteinstitutions (PWIs) presents particularly unwelcoming environments for underrepresentedminority (URM) students, including individuals who identify as Black, Hispanic/Latino, andAmerican Indian or Alaska Native [1]. URM students attending PWIs frequently report feelingsof prejudice, discrimination, and exclusion [2], and such experiences negatively impact theiracademic and social success [3
-Income BackgroundsIntroductionThis work-in-progress (WIP) paper will share preliminary insights on the implementation ofinterventions in STEM learning environments impacting undergraduate engineering degreecompletion at a Historically Black College and University (HBCU). While HBCUs onlycomprise three percent of post-secondary institutions in the United States, they enroll a highpercentage of minority students [1, 2], and are often criticized for having low graduation rates,especially for low-income students [3]. To combat this concern, a public historically black land-grant university in the southeastern region of the United States was awarded the National ScienceFoundation (NSF) Scholarships in Science, Technology, Engineering, and Mathematics
paying specialattention to the mentoring, training, and recruitment of the underrepresented population inSTEM, especially women and minorities. This paper presents program details and recentevaluation results.IntroductionThe number of science, technology, engineering, and mathematics (STEM) jobs in the UnitedStates is growing faster than ever. According to the Bureau of Labor statistics, while totalemployment is projected to increase by 2.8% from 2022 to 2032, STEM jobs are expected togrow 10.8% during the same period [1]. This translates into more than one million new STEMjobs in the American labor market over the next 10 years. This demand for STEM graduates isof interest to many colleges and universities, where the focus has been on
highly valued [1-5].These problems students face when tasked with transferring knowledge have been citedpreviously by various authors. In particular, the (in)ability of students to utilize fundamentalconcepts they learned in mathematics and physics in the context of thermodynamics have beendescribed by both the mathematics and physics communities [6-9]. In these studies, studentswere shown to have only a cursory understanding of the core math and physics concepts at playto view these ideas as isolated elements lacking connections to other aspects of their curriculum.An important conclusion of this work (that was not studied) was the idea of promoting priorknowledge activation as a mechanism for potentially remedying these issues [6].In the field
mandatory component of the course regardless of a student’s choice to participate in the current study. The format of the quizzes, the DYOP projects, and reflection assignments will be described in detail in the following sub-section.Figure 1. Diagram of assessment work-flow throughout semester. An illustration of how a student would select their topic fortheir DYOP assignment is given. Numbers indicating grades are provided as an illustration only and do not come from a studentwho participated in this study. The assessments were broken up into two sections. The first section included quiz 1, quiz 2, quiz 3, and the midterm project. The second section included quiz 4, quiz 5, quiz 6, and the final project. Each of the six quizzes
engineering students to switch majors or drop out of higher-educationinstitutions commonly occurs during the first and second year of college [1]. Foundations ofidentity begin to form as students decide to continue pursuing an engineering major [2]. Unlikeother majors, engineering has a low rate of migration into the major [3], making retention amajor concern. In the process of developing interventions to increase retention rates in STEMfields, the research surrounding students' experiences in these fields has grown substantially.Significant research has focused separately on identity development within STEM fields [1], [4],[5], [6] and on the affective experiences [7], [8], [9], [10] of students. Some studies haveinvestigated the overlaps between
students’understanding and comprehension of challenging material [1]. The ability to utilize their sensesof sight, touch, and hearing when learning about the behavior of materials and structuresincreases their ability to apply their knowledge. Improving a student’s spatial skills and ability tovisualize complex problems has been shown to improve retention and performance inengineering courses [2]. Hands-on mechanics demonstrations and activities have been utilizedfor decades [3], [4], [5], [6], [7]. Recently, educators have developed tutorials and databases toassist other educators looking to incorporate these hands-on activities into their own courses [8].Even professional societies such as the American Institute of Steel Construction (AISC) haveinvested
wanted to ensure that students develop skills in not only project management but alsoworking in teams. The literature shows that Project Management Education needs to include apractical, hands-on project where students can use the theory they are learning to plan, manage,and execute a project with real stakeholders. Van der Horn and Killen found in their research inproject management education that courses in project management require more than justknowing the theory but rather having “lived experiences” and challenges for effective learning[1]. In addition, input from the university’s and department’s advisory boards demand thatstudents have project management skills that they can employ straight out of school.As part of redefining the course
forDesign Thinking in Engineering Education” is developed. By adapting a strategyframework for curriculum change, this study lays the groundwork for future researchinto the integration and effectiveness of design thinking within engineering education.1. INTRODUCTIONEngineering education is on the cusp of a paradigm shift towards a student-centered,flexible curriculum, personalized learning environments, and the transformation oflearning experiences into capabilities for students [1, 2]. Project-Based Learning(PBL) is often heralded as a model for future curricula [3]. Within this evolvinglandscape, the integration of design thinking into engineering education presents acomplex terrain filled with notable achievements and areas ripe for further
he taught Technology and Engineering classes at the middle school and university level. His current work revolves around the use of Adaptive Comparative Judgment for student design learning, STEM teaching professional development, and teacher preparation. ©American Society for Engineering Education, 2024Integration of Learning by Evaluating (LbE) within the 5E Instructional Model in EngineeringDesign Education IntroductionThe integration of the 5E Model [1], [2] into design thinking education represents a significantadvancement in pedagogical strategies [3], [4], [5], [6]. It is also widely used in fields like engineeringand technology where problem-solving
from the project. Thisproject will be a pilot study to develop an educational module on green building design forengineering educators.Keywords: Integrative Design, Sustainability, Green BuildingsIntroductionPublic demand has increased in recent decades to balance environmental, social, and economicoutcomes within sustainable development [1]. Engineering professions from industries andaccreditation boards have required that engineering graduates be able to think and design forsustainable development. Subsequently, the integration of sustainable development has become arelevant topic in higher education, and increasingly, universities are attempting to takeresponsibility as agents in promoting sustainable development principles [2][3
; and become global citizens, working in diverse groups and contexts [1-5]. Aseducators, we are tasked with designing a curriculum that ensures our students graduate with theknowledge, tools, and experiences needed to meet these desired outcomes. And as our fieldevolves and changes, so does our curriculum.Revising a curriculum is a time-intensive, complex process. In our efforts to make the process asefficient as possible, we can find ourselves focused on student outcomes to the exclusion of theconsideration of the people who will have to carry out that curriculum: faculty. If we want ourfaculty to experience shared ownership and responsibility over the curriculum and buy-in to theprocess of continual improvement for the sake of our students
structure the course in a way that would give students practiceand exposure to the way that designers and engineers might manage a project in a commercialproduct development workplace. The instructors also hoped to infuse the course with a designmindset, the qualities of which have been defined as being inquisitive and open, beingempathetic to others’ needs, being accepting of ambiguity, questioning critically, and a proclivityto taking purposeful action. [1] [2]This course redesign is a tale of two instructors. The first instructor, Annie Abell, is a careeracademic with an undergraduate degree in Mechanical Engineering and a graduate degree inDesign Research and Development, which allowed her to develop expertise in user-centereddesign and
society.Over the past few years, a team of faculty and students at Duke University have developededucational materials to develop and support faculty and student skills to do the important task of“needs finding.” For this paper, we will share a series of modules that support the followingeducational learning outcomes: 1) identify needs through observation; 2) identify needs throughinterviewing; and 3) write well-scoped need statements. Note that these materials can be usedacross all engineering disciplines and their design courses.A series of modules have been created for each of the learning outcomes. Each module containsfour to nine videos, multiple in-class exercises, and instructor resources. Together, the modulescould fill up to half a semester
evaluateperformance predictors. This system, while still in development, points towards future researchdirections in engineering education, exploring users’ affect-performance associations toimprove educational interventions, thereby offering more tailored and refined educationalexperiences. Keywords—Affect, educational assessment tool, personalized educational experiences, e-learning, learning system, real-time interventions, education technology. i. introduction Educational landscapes are evolving to be more flexible, adaptable, and technological [1]. Inthese tech-driven learning environments, the capacity to gather and analyze novel data enablesthe optimization of the learning experience. Researchers have explored diverse indicators suchas
and learn moment to moment in the laboratory. The practices students engage in during thelaboratory task may change and evolve to address different gaps.This analysis looks to observe how engineering epistemic practices are used by students to identify andfill gaps when completing a virtual laboratory activity. We seek a characterization that more expansivelyinterrogates laboratory activity than the acquisition of knowledge and skills. In this work we will seek toanswer the following research questions: 1. What epistemic practices does a team of undergraduate engineering students utilize during an industrially situated environmental engineering virtual laboratory task? 2. What gaps does the team identify in order to
assessment;artificial intelligence in educationIntroduction Research indicates that college and engineering students often lack essential skills requiredby employers, such as communication, decision-making, problem-solving, leadership, emotionalintelligence, and social ethics [1], [2]. This gap between college preparation and career demands isparticularly evident in the engineering field, where technical knowledge is prioritized over softskills like creativity, innovation, leadership, management, and teamwork [3]. Moreover, the shiftfrom traditional instruction to skill-based curricula has gained momentum in educational settingsto center the learner in education. This approach encourages students to engage in hands-onactivities, problem