. Partnerships may develop betweencommunities, academia, organizations, or with any combination of these. Reciprocity incollaborative partnerships implies mutual respect, trust, benefit-sharing, and growth [1].Traditionally, groups that are considered to have more resources are allotted a higher degree ofpower, leading to non-reciprocal collaborations. Often driven by historical colonial relations, thesedisparities can have harmful results such as uneven stakeholder benefits, unidirectionality, andperpetuating oversimplified stereotypes, and can continue without critique due to hiddenassumptions of prestige in resources despite evidence to the contrary. Partnership imbalances canyield inequities, despite good intentions. To achieve mutual benefits, it’s
-solving approach, to arrive at a more authentic assessment.The challenge is that this approach requires significant grading effort and time. The goal of ourstudy is to investigate a design strategy for summative assessments that significantly cuts downon grading time, while keeping the assessment authentic. A reduction in grading time would freeup resources that could be redeployed in other parts of the course, such as providing moretutoring support. In this paper, we propose a design methodology to create such time-efficientauthentic summative assessments for engineering courses. Our proposed design strategy consistsof two steps: (1) systematically create a problem that consists of targeted sub-questions and (2)grade these based on a rubric
correspondingoperations.IntroductionThe CPU is the core component responsible for information processing, making it a crucial topicfor students majoring in electrical engineering and computer science to comprehend.Unfortunately, the structure of a CPU is often highly complex, making it difficult for thoseoutside of computer engineering to grasp its intricacies. Although some efforts have been madeto design simplified CPUs [1, 2], they can still be quite challenging for many students to fullyunderstand.A CPU consists of three fundamental components: the arithmetic logic unit (ALU), control unit(CU), and registers. Of these components, the CU is typically the most complex to design.Traditionally, control units are implemented using finite state machines, while pipelinedstructures
for Empathy as a Teaching Practice in Engineering EducationAbstractThis theoretical paper will introduce a conceptual framework for empathy as a teaching practiceto improve engineering students’ educational experiences. As engineering education strives tomeet the industry demands for qualified individuals, it is imperative to address the persistentretention problem in engineering programs, particularly for those individuals from marginalizedgroups [1]. Research suggests that building connections between students and faculty can play acritical role in shaping a positive academic climate [2].One strategy for building rapport between faculty and students is to incorporate empathicconcern as a teaching practice in
students to attend the engineering program, as well as creating anenvironment that is welcoming and supportive of diversity, has caused our numbers to shiftgreatly from women accounting for only 14% of our engineering program population in 2020 towomen making up 21% in 2022 [1]. With over 50% of our engineering students identifying asnon-white, there is a lot to celebrate but there is still more work to do. When considering theintersectionality with race, we discovered that African American women engineering studentscomprised only 4% of the college and Hispanic women engineering students comprised just 3%.Further analysis revealed that out of the nearly 800 degrees awarded in 2022, not even 50 wereawarded to these demographics. Women accounted for
programs in the design phase aswell as those currently being delivered.IntroductionDoctoral degrees lead the hierarchy of higher education qualifications, and within the ranks ofdoctoral education, the Doctor of Philosophy (PhD) generally reigns supreme [1]. As a recent 1addition to the compendium of research doctoral disciplines, Engineering Education (Eng Ed)programs aim to prepare students to independently conduct rigorous research on engineeringcurriculum, pedagogy, assessment, and faculty development” among other relevant topics [2],[3], [4]. It is expected that based on their doctoral education and training, graduates will not onlyserve as researchers but will also perform leadership functions
applied after recruitment emails were sent to localschool district contacts. In July 2022, a one-day workshop was held at UIUC with a group of fifteenK–12 educators from twelve different local schools, ranging from pre-K to high school. After theinitial introduction, workshop participants were divided into five groups based on their teachingrole and grade level. A human-centered design approach was then used to guide a series of groupactivities, which focused mainly on connecting all stakeholders to create better support betweenservice-learning project developers (university students) and receivers (K–12 students). Lessonslearned from the summer workshop include: (1) having a long-term (3–5 years) commitment forpartnership between local schools
the recognition of the dignity of the profession of EngineeringEducator.In this paper, the international credentialing functioning is described as well as the roadmapof competencies development to the systematic improvement proposed to the engineeringeducators to build up as faculty to achieve the profession high-level quality global recognition.The bridge with the recognized international accreditation of engineering education programsis also shown to have a symbiotic effect with advantages for the universities and their faculty.1 - IntroductionEngineering education is a crucial aspect of the engineering profession and plays a vital rolein shaping the future of the industry [1]. Engineering educators are the backbone of thisprocess and are
, engineers and scientists can impact the public in a positive and negativemanner. The obligations of engineers and scientists in society are continually evolving anddebated, including their work involving the public and marginalized communities [1]-[6]. Thesetopics are addressed from an aspirational applied ethics perspective in a graduate-level course atVirginia Tech: CEE 5804 “Engineering Ethics and the Public” [7], [8]. The course draws on highprofile case studies, both past and unfolding, to examine ethical dilemmas that confront engineersand scientists in research and practice. The course seeks to reimagine the role of ethics in thecareers of engineers and to expand the notion of “ethical conduct” to include moral courage, moralleadership, and
, fewer advancement opportunities,token hiring, placement into positions not associated with core company activities (e.g., humanresources), and perceptions of incompetence [1-3]. Within engineering, research has identified acultural mismatch between dominant white culture and the needs of Black engineers [4-8].Individuals use personal agency to overcome the barriers they face in the workplace [7-9].Organizations are often thought of as race- and gender-neutral structures. However, this norm isbased on what bell hooks (2000) described as “the imperialist white supremacist capitalistpatriarchy” [10](p. 46). Ray theorized about racialized organizations to illuminate the ubiquity ofwhiteness [11]. There are organizational structures that support the
research is to help in shaping a safe pathway to AI-based learning environmentsfor human progress.AI is expected to lead the new revolution in the social, economic, health, and technology areas.Currently, the fast development of AI-based products is accompanied by huge investments fromlarge companies and governments. In the U.S., both the previous and the current administrationfully support AI research and development efforts. For example, on February 11, 2019, PresidentTrump issued Executive Order 13859 to maintain American leadership in artificial intelligence[1]. With respect to this executive order, France A. Córdova, Director, National ScienceFoundation (NSF), included the following statements [2]. "NSF has a long and rich history of
, 2023 Engineering CAReS: Measuring Basic Psychological Needs in the Engineering WorkplaceAbstractEngineering CAReS (Competence, Autonomy, Relatedness Study) is an engineering workplaceclimate survey that is based on basic psychological needs theory (BPNT) -- a mini-theoryassociated with self-determination theory (SDT). The CAReS survey uses a combination ofexisting items and scales from the BPNT and belonging literature as well as items adapted to theworkplace setting to measure the degree to which basic psychological needs of autonomy,competence, and relatedness are satisfied or frustrated at work. The CAReS study was initiated atthe start of 2022 and Phase 1 of the study, which focused on tool
Factors Engineering course that utilizes both the concept of human habitformation [1] and Entrepreneurial Minded Learning (EML) [2]. In each weekly activity, studentsare required to find a product or system that they think is designed poorly from a user standpoint.The poorly designed product or system examples can be any everyday thing students interactwith. Following a predefined template provided by the instructor, students are required toshowcase their examples by including photos, the user’s goals as well as issues using theproduct, critiques, and a proposed design solution to address the user’s needs. The instructor’smain requirement for accepting a student’s example is to evaluate whether it satisfies at least oneof the three goals of human
with feedback. Our data is collected through a surveywhich follows students’ interaction with our web-based drill and practice programming systemcalled Edugator in the context of a Data Structures and Algorithms (DSA) course at a large publicuniversity in the United States. Our system provided students two workflows for solving andreceiving feedback on short programming problems: (1) using a browser-based workflow and/or(2) downloading an equivalent template of the problem and feedback, and coding it locally on theircomputer (a native workflow). We qualitatively coded 199 students’ responses regarding choicesusing inductive thematic analysis to identify common themes. Our study found that while moststudents were motivated by convenience and
the futureengineering workforce by supporting the recruitment and persistence of Black, Indigenous andPeople of Color (BIPOC) and female students in engineering. Despite significant investmentsby government agencies, universities, foundations and industries that rely on the skills andtalents of engineers, BIPOC and women are underrepresented in the engineering workforce.Engineering depends on team collaboration, and research shows that diverse groups aretypically more effective than homogeneous teams when complex problem solving are criticalgoals [1]. The United States must educate a diverse engineering workforce to address thecomplex technological challenges faced by our society. Greater diversity in the STEMworkforce will result in a new
further valued and supported by university administrators.IntroductionThere is a persistent concern surrounding representing diverse groups in science, technology,engineering, and mathematics (STEM) in the United States [1]. Additionally, ABET’saccreditation is aimed at producing graduates who are prepared to enter the global workforcewith the ability to succeed and thrive in diverse and inclusive environments [2]. STEMprofessions require imagination and innovation which is easier to achieve when persons withdiverse backgrounds and experiences collaborate and work toward a common goal. Theseunderrepresented minority students face special challenges in these fields [3]. These challengesrequire an asset-based, cultural capital approach to analyze
important mechanism of cultural reproduction inengineering education is what education scholars call “the hidden curriculum”, which can bedefined as “the set of structured learning experiences or conditions that occur beyond designintent and apart from the explicit curriculum” [1]. Engineering education scholars have exploreddifferent ways the hidden curriculum manifests and impacts student experiences [2] [3], givingspecial attention to impacts on underrepresented and marginalized student groups [4] [5].This paper derives from a larger project exploring cultural reproduction in engineering with afocus on how engineering students and recent graduates think about individual and professionalethics [6]. That project has considered some of the
western US which may have differentcosts of living depending on the area. The data were collected as secondary data to demonstratethe significant investments institutions have in early career faculty and that this was a potentialmotivator and/or variable for grant writing and research. Engineering Start-Up Packages: Mixed Methods Analysis of Composition and Implications for Early Career Professional Formation1. Introduction1.1 Inception of the StudyThis study was developed within a larger Action Research study published in [1]. The studycontained four iterative cycles as a part of a study [2] which developed an on-demand, onlineintervention for providing professional development for
network connecting the participating schools.IntroductionInitially established in 1987, the REU program expands access to research opportunities forstudents from minority groups and non-research-focused tertiary institutions [1]. The NationalScience Foundation (NSF) launched the Research Experience for Undergraduates (REU)program to support this. This program has been proven to support undergraduates to pursueThis material is based upon work supported by the National Science Foundation under GrantNo. 1849454.graduate study in science, technology, engineering, or mathematics (STEM) [2-4]. This researchprogram has also improved students' ability to work through the uncertainty in researchproblems, sharpening their leadership skills, gaining a more
constitutes one of the fivepillars of a quality framework [1], along with cost effectiveness and institutional commitment,student satisfaction, faculty satisfaction, and access.This paper was grounded in the existing literature on learning effectiveness in postsecondaryeducation. We drew upon five student focus groups and some of the qualitative survey data aboutlearning experiences that we collected from undergraduate engineering students at acomprehensive Canadian university during the Winter Term of 2022 (i.e., January to April). Ouranalysis aimed to address the following research questions: • How did engineering students interpret learning effectiveness? • What factors influenced engineering students’ perceptions of learning effectiveness
solutions to these increasingly complex problems require collaboration betweenmultiple disciplines [1], [2]. On a grand scale, problems include climate change, epidemics,poverty, social unrest, and energy production/storage/transmission/use. On smaller scales,progress in a wide range of contexts also requires expertise from multiple fields. In medicine,multidisciplinary teams can more effectively relieve the pain, symptoms, and stress experiencedby patients with serious illnesses [3]. To build transportation systems that equitably servecommunities, transportation planners and engineers are being called to collaborate with socialworkers and the communities they serve [4]. To develop artificial intelligence systems witheffective human-AI interaction
work aims to explore Black engineering students’ experiences using acommunity-based participatory research (CBPR) strategy called photovoice, which is commonlypracticed in public health. Photovoice is a qualitative research approach that involves the collectionand analysis of data through the lens of each participant. To date, few scholars have applied thisnarrative approach to understanding Black students’ experiences in the context of engineeringeducation and practice.This study explored how the current racial climate in the United States impacts the experiences ofBlack undergraduate engineering students. The outcome of the photovoice experience was two-fold: 1) To capture each participant’s lived experience, leveraging each photo as a
. R. Jamaal Downey and Idalis Villanueva Alarcón,Introduction The hidden curriculum (HC) has been traditionally viewed as the unwritten, unofficial,and often unintended messages (e.g., assumptions, lessons, values, beliefs, attitudes, andperspectives) that are not openly acknowledged in each environment [1] [2]. More specificallyrelated to engineering/education, HC is hidden under the veil of norms, professionalism, andstandards which prioritizes the current status quo of dominant identities in engineering (e.g.,white, male, meritocratic) [1]. The presence of hidden curriculum (HC) in our educational institutions is unquestioned.Hidden curriculum can be perceived as both helpful or hurtful depending on the messages
the student’s application for matriculation. Complicating ourdata, though, is that not all students applied for matriculation multiple times. Most students areadmitted the first time they apply (time 1) and would thus have missing data for any subsequentapplication cycles. To deal with the proceeding issue, we used hierarchical linear modeling(HLM).HLM (or multilevel modeling) is an advanced regression type technique where data areconceived as having a nested structure. In some instances, researchers may conceive of data asbeing nested in schools or classrooms, and in others, as in the case of the current study,researchers conceive of data as being nested in individuals (i.e., repeated measures) 6.The use of HLM with repeated measures has
the data collection informedcritical design decisions at the end of the paper.IntroductionThe transition from high school to university involves significant adjustments, including theacculturation to a new academic environment, sometimes even a change in the language ofinstruction, and social expectations and norms. This transition period is known to define thecritical decisions students may make in subsequent years. Findings from a study led by Katanis[1] found that the expectations students set for their first-year experiences were either partiallyor not met. Students encountered a much heavier workload than expected, in addition to findinguniversity studies uninteresting. In terms of academic progress, more than half of therespondents were
For US All (e4usa) aims to broaden participation inengineering by providing engineering curricula and professional development for high schoolteachers. e4usa also engages in building and maintaining a Community of Practice (CoP) whichincludes high schools and various community partners. This paper focuses on evaluating theexperiences of one type of community partner in the CoP: university liaisons. Liaisonsvoluntarily commit their knowledge and expertise to support high school teachers duringprofessional development and curriculum implementation. The goals of this study are to: 1)capture aspects that are currently viewed as exciting or challenging for university liaisons, and 2)understand ways in which e4usa could facilitate further
. Christopher P. Pung P.E., Grand Valley State University Dr. Pung has interests in experiential learning, design processes and student teams. ©American Society for Engineering Education, 2023 Evaluating ABET Student Outcome (3) in a Multidisciplinary Capstone Project SequenceAbstractIn 2017, ABET published a revised list of student outcomes detailed under ABET GeneralCriterion 3, which replaced outcomes (a) through (k) with outcomes (1) through (7). The revisedstudent outcomes place greater emphasis on measuring students’ ability to consider a wide rangeof factors in engineering situations and to be able to communicate and work with a wider range ofstakeholders. Outcome (3) is
indicator-based (KPI) dashboard to predict and identify industry manufacturinglimitations. We also report on the student learning experience, industry-academia collaboration,lessons learned, and several instructional insights with respect to project management. We believethat these instructional insights are applicable to other learning models.IntroductionThis project received support from local state agencies to promote the transition of graduate stu-dents at local universities to manufacturing jobs in the local-industry in an effort to limit talentmigration from the state [1–4] . The industry-academia project’s technical objective was to finddata from manufacturing productivity reports to create a dashboard with updates on Key Perfor-mance
, lectures, examples, and assignments.Participants in this study were recruited for a free introductory Python coursethrough LinkedIn and Twitter. Participants were randomly assigned either to theinstructor-led or the self-paced versions of the course. It appears that based on thescores and lower attrition rates, a student-driven approach using Colab notebooksis at least approximately as effective in helping students learn the concepts.1. IntroductionThe supply of workers capable of performing effectively in software development is not keepingup with industry demand; unfortunately, the supply of instructors capable of training those futuresoftware developers is also likely to fall short of what is necessary. Growth in softwaredevelopment jobs is
institutions and classrooms, openquestions remain on how to transform institutions to embed game-based learning not as anintervention but as a key part of the curriculum.IntroductionIn recent decades, government and industrial leaders, policy makers, academic and fundingagencies have been calling for drastic shifts in engineering education [1-3]. Since engineeringpractice relies on one’s ability to understand potential problems and design appropriate solutions,one of the more frequently cited needs for engineering education is that students engage inpractical training and gain authentic hands-on experience [4-6]. For example, Kosa et al. [7]highlight that traditional “theory-only” methods do not provide novice engineers with anunderstanding of real