individualism andexceptionalism through the interdisciplinary and theoretical lens of Critical Race Theory andCritical Whiteness Studies has highlighted the ways Whiteness has flourished, particularly inengineering, and helped support these two pillars of Whiteness. Thus, through a historicallycontextualized interdisciplinary analysis, we seek to shift the conversation to focus onquestioning the ways Whiteness affects pedagogy and research conducted in engineeringeducation research.Introduction White supremacy has a firm grip on engineering and engineering education research.However, in order to show “The Enduring, Invisible, and Ubiquitous Centrality of Whiteness,”[1], we will provide a funneled context that will demonstrate to the reader how
evaluation of the program’s newly launched undergraduate design studiocourse.1 This involved conducting nine months of ethnographic research involving interviewswith faculty and administrators involved in the program’s initial design, observations ofclassroom activities, and follow up interviews and focus groups with the first cohort of students.In the process we gathered insights that provided feedback to faculty and staff that could helpfurther develop the curricular aims of the program, while also theorizing through ourethnographic project how external evaluations can contribute to the development oftransdisciplinary learning communities in higher education. Our external evaluation activity ispresented here as a case study that considers how
Knowledge creation and synthesis are the core of research. How we engage in research orknowledge creation is deeply intertwined with our experiences and the language we use to makesense of the world around us. For us, the co-authors of this paper, the triad concept of Kaya(Body), Vacha (Speech), and Manas (Mind) in the Indian philosophy of ethics and spiritualitypoints to the interdependence of experience, language, and knowledge. Lakoff and Johnson [1]present the same idea as the core motivation for their germinal book Metaphors We Live By; theysuggest that dominant views on meaning-making in Western philosophy and linguistics areinadequate for the way we understand our world and ourselves. They propose that our languageshapes the way we think
wellbeing and equity, diversity and inclusion (EDI) issues in engineering education andthe broader engineering profession. ©American Society for Engineering Education, 2024 Methodologies for evaluating the impact of STEM outreach on historically marginalized groups in engineering: a systematic literature reviewIntroduction and BackgroundAs a form of informal science learning [1], STEM (Science, Technology, Engineering, andMathematics) outreach activities involve the delivery of “STEM content outside of thetraditional student/teacher relationship to STEM stakeholders (students, parents, teachers…) inorder to support and increase the understanding, awareness, and interest in STEM disciplines”[2]. In the K-12 out-of-school
purpose of this practice paper is to suggest a mechanical engineering reasoning diagram(MERD) for equitable teaching in writing-intensive engineering labs 1. Reasoning diagrams aredesigned to describe concepts and the relationships among these concepts in a structured andvisual way. In order to facilitate engineering thinking among undergraduates, a MERD wasdeveloped in this study to capture engineer experts' narratives about their projects and the logicof key Mechanical Engineering (ME) concepts. The model of engineering thinking would alsodemonstrate rhetorical moves of the technical writing process of engineering; this mentalmodeling relates metacognitive knowledge to disciplinary writing. A more explicit way ofteaching lab writing might have
outcomes revealed a higher correlation than homeworkassessments, highlighting the predictive value of such assessments for academic success. Pre/postlecture assessment enables immediate student feedback and the instructor's use of their input forteaching improvements underscores the potential to enhance educational strategies and supportstudent learning. Ultimately, the study advocates for incorporating pre- and post-lectureassessments in courses. This dual benefit approach not only aids students in enhancing theirlearning experience but also provides instructors with early indicators to identify and assiststudents who may need additional support.Figure 1. Integrating Pre/Post Lecture Self-Assessments of Lecture Learning Outcome withBloom's
recognition of the importance of diversity and inclusion in engineering education hasgrown in recent years [1], little is known about the best practices for supporting neurodiversestudents [2-3]. It has been suggested that neurodiverse students benefit from course assessmentsthat allow for a more flexible mode of expressing knowledge [3]. However, evidence forimproved learning outcomes on different types of course assessments is largely anecdotal.Characteristics associated with different forms of neurodiversity, such as attention deficithyperactivity disorder (ADHD), autism spectrum, depression, and anxiety, are suggested to benormally distributed in the population [2]. Indeed, research suggests that these conditions arebest conceptualized as
discourse ondiversity, equity, and inclusion in engineering. Nonbinary and trans* students are rarely even thefocus of research centering on LGBTQ+ student experiences in larger fields such as STEMeducation and higher education studies. Their exclusion can be attributed, in part, to the lack ofdata collected in large national datasets [1], [2], [3]. For instance, the National ScienceFoundation (NSF) has received multiple open letters requesting that NSF collect nonbinary andtransgender identities in their Survey of Earned Doctorates and NSF Center for Science andEngineering Statistics surveys [4], [5], [6]. But the release of the 2024 Survey of EarnedDoctorates revealed they had not heeded these calls; it also omits sexual orientation altogether[7
academy to improve engineering education within the field and across disciplines. ©American Society for Engineering Education, 2024 Not for the Poor: Impacts of COVID-19 on Engineering Students from Lower Socioeconomic BackgroundsIntroductionLike many other fields, engineering is working to become more diverse. Part of this effort includessupporting students pursuing a field who do not fit the traditional archetype of an engineer [1].This outlier population is heavily composed of students who have an intersection of identities, oneof these identities being a member of a low-income household [1]. The COVID-19 pandemicevoked major changes in the lives of many individuals and
skilled professions, incoming faculty have hardly, if any, pedagogical preparation [1],especially on theoretical underpinnings of teaching and the science of how students learn.Paradigm shifts in engineering education have been focused on instructional behaviors, such asactive learning where students are provided opportunity to learn the practice of engineeringthrough “doing” [2]. Rarely do these opportunities include a focus on the relational or affectiveaspects of education, rather, they focus on design and building [2].Learning through practice is not specific to engineering education. In nursing programs, similarapproaches towards teaching and learning are utilized to engage students to learn the practice ofnursing through “doing” [2]. Both
experiencing logistical challenges. In what follows, we shareideas from the literature and from our own observations about engagement-related conflict ondesign teams, and then address the use of MR simulations in educational environments.Engagement-Related Conflict on Engineering Design TeamsTeam-based work is a fundamental tenant of design thinking and the work of an engineer; it iscritical that undergraduate engineering programs include team-based design projects throughoutthe curriculum [1]. The literature has reported on the benefits of and best practices for studentsengaged in team-based design projects [2-4]. Also addressed in the literature are challengesrelated to teamwork, especially with respect to conflicts related to interpersonal dynamics
approach [1], which labels sometraits and conditions as deficits, and where individuals who are neurodivergent (ND) areperceived as abnormal and less competent than neurotypical (NT) students. Others use socio-ecological approaches and asset models when exploring differences [2-3]. This research used theframework of neurodiversity. Neurodiversity frames different neurological conditions of thebrain and nervous system as providing affordances and posing challenges, encompassing bothindividual and social aspects [4].Conditions that are traditionally defined as neurodivergent include attention deficit hyperactivitydisorder (ADHD), autism spectrum disorder (ASD), dyslexia, dyscalculia, dysgraphia, andtrauma-related conditions such as traumatic brain
education.KeywordsStudent-initiated interest groups, engineering leadership, experiential learning, bio-inspiredrobotics, Guinness World Record, electric vehicle technologies, international awardBackgroundThis practice paper introduces a program designed to cultivate the development of student-initiated interest groups (SIGs) with a focus on technological innovation and challenge-basedlearning within the engineering faculty of the University of Hong Kong. In December 2020, thefaculty inaugurated a 2,000-square-meter Tam Wing Fan Innovation Wing [1] (a.k.a. the HKUInno Wing) at a prominent location on campus. This center serves as the hub for the SIGprogram, equipped with cutting-edge prototyping facilities and extensive project spaces. Settingitself apart from
, including engineering sketches like Free Body Diagrams. This paper approaches theidea of using automated grading in conjunction with the SMART pedagogical methodology.SMARTThe supported mastery assessment through repeated testing (SMART) model discouragesineffective studying habits such as problem memorization and copying of homework solutionsfrom various sources such as online sources, solution manuals, and friends [1]. Not only does itdiscourage bad learning habits, it has also been shown to improve student understanding andproblem-solving ability by encouraging students to better understand theory and concepts whichcan be seen through help room and office hours interactions with students [2,3]. While somecourse dependent modifications may be
we complete our study, we believe our findings will sketch the early stages of thisemerging paradigm shift in the assessment of undergraduate engineering education, offering anovel perspective on the discourse surrounding evaluation strategies in the field. These insightsare vital for stakeholders such as policymakers, educational leaders, and instructors, as they havesignificant ramifications for policy development, curriculum planning, and the broader dialogueon integrating GAI into educational evaluation.1. IntroductionThe advent of generative artificial intelligence (GAI) has heralded a new era in higher education,prompting extensive research and discussions, particularly concerning its impact on traditionalassessment practices. Recent
grader toprocess the work and provide feedback. Lengthy feedback times are suboptimal from a learningperspective since the student may miss opportunities to learn from the feedback. Faster feedbackresults in better learning because the feedback has better connection to the work when thememory of the work is fresh.One way to reduce grading time is to employ low-resolution grading, that is, grading methods thatuse low numbers of possible grade levels. Grading on a scale of 100% without fractionalpercentage points has 100 levels. Grading on an A-B-C-D-F scale without pluses and minuses hasfive levels. Miguel and Larson 1 recommend using the lowest number of grading levels that allowsan accurate assessment of student learning, and they state that
state power, occupy an important nexus of power in the modern social system[1]. Throughout its history in the United States, the occupation-turned-profession of engineeringhas grown and expanded in service to a state and the multinational corporations it leverages itsmonopoly on violence to protect, as numerous scholars have named (see for example [1-3]).Overwhelmingly, US engineers are trained to accept and uphold an ideology of businessprofessionalism that situates engineers as rightly beholden to the whims of capitalists helmingmultinational corporations and industries employing engineers [4]; [5]. This acts to disciplineengineers and restrict the legitimized forms of social organization engineers engage in largely tothose which reproduce
adeeply introspective lens through which we can understand broader social phenomena. Inspiredby the work of Guyotte & Sochacka (2016) and Blalock & Akehi (2017), we expand upontraditional autoethnography and emphasize the synergistic effects of our diverse backgrounds,academic and non-academic training, and worldviews. Collaborative autoethnography enhancesthe trustworthiness and transparency of our research, providing a comprehensive and inclusiveperspective on the experiences of non-academic engineering educators.Collaborative autoethnography is effective for three reasons: 1) Personal and ContextualInsights: This method enables authors, as research subjects, to draw upon their experiences,offering a nuanced understanding of the
institutions in four states tosubsidize 160 internships for community college students.These structured and supported internships consisted of the following best practices:Financial Support 1 ● Stipends of at least $7,000 were provided to participants. Partners recognize that finances are a major barrier to persistence in STEM undergraduate pathways, and many low- income/first-generation students work simultaneously while attending school. Students need a competitive financial incentive to mirror top internships in the field. ● Leveraging funds to pay for internship positions prioritized for STEM Core students. Growth Sector
perseverance and motivation to completebaccalaureate studies in an engineering-oriented field. The SBP has enrolled freshman andsophomore level students from TAMUK, as well as community colleges and other universitieswithin the south Texas region. Team-based design projects were one of the major componentsincluded in each year of the SBP. These short design projects centered around the disciplines ofthe participating faculty, chemical, civil, mechanical, electrical, industrial engineering, computerscience, and industrial technology. This paper presents the outcomes for students based on theirparticipation in one of the SBPs held during the past four years at our Hispanic-majorityinstitution [1].The first two years of this SBP (2020 and 2021) were
other faced regulatory conflicts that hindered its ability tofulfill the professional development plan. Also, program staff conducted the program evaluationpost-award, limiting its depth. In conclusion, the post-baccalaureate program successfullyaddressed the need of recent STEM graduates aiming to get/have research experience,particularly those negatively affected by the COVID-19 pandemic.IntroductionPersistent structural inequities and systems of oppression consistently hinder the advancement ofcertain demographic groups in achieving success within higher education, particularly in thefields of science, technology, engineering, and mathematics (STEM) [1], [2] and [3]. Forinstance, White Non-Hispanic students attain more graduate degrees and
adjustable, but it requires greater confidencein coding and experience with embedded systems generally. In contrast, Arduino Uno is a hobbyist-style microcontroller thatcan support switching frequencies up to 100 kHz with abilities to perform PWM, ADC, and interrupts, making Arduino Unoa suitable platform to teach embedded systems, digital control, and power electronics [1]. This research explores further limitsof configuring and using an Arduino Uno for doing power electronics research. The ultimate goal is to assemble a DC powerelectronics microgrid and study energy management issues. Central to this endeavor is developing a capable controller thatstudents can deploy rapidly with some success.II dc-dc buck chopper A DC-DC buck chopper is a
relevant to embedded systems design. This paper provides anoverview of the introduction of the MISL-ASE board, details of lab assignments and finalprojects and examines the impacts on students' learning outcomes. 1. Introduction An embedded system is an electronic system that combines microcontroller hardware andsoftware for monitoring and controlling diverse electro-mechanical systems (e.g., automatedindustrial machines, robotics, automobiles, airplanes, etc.) and smart devices (e.g., medical andhealthcare equipment, smartphones, and household appliances, etc.) [1]. In recent years, asurging demand for those mechatronic systems and intelligent products has driven the fastgrowth of global embedded systems market, from $88.35 billion in 2020 to
Paper ID #43222Predicting Engineering Students’ Employment Aspirations: Roles of Students’Satisfaction and Career GuidanceFangyuan ChaiYi WangZhaoping FengJing JinJun Zhu ©American Society for Engineering Education, 2024Predicting Engineering Students’ Employment Aspirations: Roles of Students’ Satisfaction and Career Guidance Fangyuan Chai1, Yi Wang1, Zhaoping Feng1, Jing Jin1, Jun Zhu1*1 Graduate School of Education, Beijing Foreign Studies University, Beijing 10080,China.*Correspondence: No 19 Xisanhuan North Road, Haidian District, Beijing, China;zhujun@bfsu.edu.cnAbstract: In an era where globalization disrupts job markets
developmentinitiative. What emerged was a year-long positive leadership development program that inspiredour leaders to learn, experiment with, and reflect on positive leadership approaches, which inturn initiated a culture shift in the College. This paper defines positive leadership and supplies arationale for its use in our context; describes the program model that we implemented; identifiesdata-gathering mechanisms; and discusses key findings and recommendations for deliveringpositive leadership-based training to engineering faculty and staff leaders.Background and MotivationSTEM professors rarely pursue or receive formal leadership education even though theyregularly direct laboratory groups, develop research collaborations, and manage teaching teams[1
student can follow to create more in-depth work. We willreflect on the students’ comments about the writing of poetry, the evaluation process of theirwork as helped by ChatGPT, and the sense of accomplishment in what they have created.The true use of ChatGPT as a tool starts with ChatGPT being asked a simple question, “Whatgood is incorporating the teaching of poetry in engineering courses.” The answer came quicklywith the following. ChatGPT is a tool and should be used as a tool.” These learning objectives can be adapted and tailored to suit the specific goals, interests, andlevel of expertise of the students, as well as the broader objectives of the engineering course inwhich poetry writing is being integrated. 1. Enhancing Creativity
Improvement Act of1998, to address the national need to increase the number of American scientists and engineers[1]. S-STEM programs award scholarships to academically talented students who demonstratefinancial need. S-STEM programs are designed to increase the number and diversity of studentsentering science and engineering programs as well as to retain more students in their STEMprograms through graduation and to improve the quality and preparedness of graduates enteringthe science and engineering workforce.The Smith College of Engineering and Technology at Utah Valley University (UVU) wasgranted an S-STEM Track 2 scholarship program for students in Electrical Engineering,Computer Engineering, Computer Science, Computational Data Science, and
in Engineering Education from Purdue University.Chrystal S JohnsonSiddika Selcen Guzey, Purdue University ©American Society for Engineering Education, 2024 Project DECIDE: A K12 Civics and Engineering Education Curricular Partnership (Works in Progress)IntroductionMany have expressed concern about ethics and civic-mindedness of engineers and theirreflection on their responsibility and public impact of their work[1]. Universities hope tograduate ethical engineers, but may not have intentionality about the education towards civicresponsibility. Lin and Hess[2] argued that civic responsibility requires special attention inengineering education. Hess and Zola[3] found that few youth
integrated project encompassing Instrumentation,Microcontrollers, Programming, and Control Systems has been structured into stages to enhancestudent comprehension and improve the application dynamics and feedback on results. These stagesare divided into five parts: 1. Defining the problem and project theme. 2. Conducting theoretical research. 3. Constructing prototypes and conducting validation tests. 4. Delivering oral and practical presentations. 5. Writing a scientific report. By tackling these theoretical and practical challenges, the project not only offers anopportunity for applying knowledge gained the disciplines but also demonstrates the integration ofmultiple engineering domains into a cohesive project
skills that arevaluable in addressing complex real-world challenges in any engineering field. When studentsstudy the impact of different energy sources on the environment, they may conclude thatsustainable alternatives such as renewable energy are more viable. Likewise, exposing studentsto cutting-edge technologies fosters innovation in the field, since the field of energy is constantlyevolving, with new technologies emerging to improve energy efficiency, reduce emissions, andharness renewable energy sources.Coming from an industry position, and having attended a few pedogeological workshops, I wascertain that the route to engaging the students was to engage them in Project Based Learning(PBL) and Experiential Learning (EL) [1], [2]. At the same