. This process and be reversed andheat can be moved to each area as needed. This could act as an ice remover in places that are notprone to high temperatures or fluctuating regions. Most panels are not generally designed withheat in mind as much as efficiency this could also provide an opportunity to investigate materialsthat would be better suited.Solar Power is a promising alternative energy source with potential cost savings. However, it isimportant to understand the factors that can impact its efficiency and how they can be mitigated.According to Boston Solar, solar panels are rated to perform at peak efficiency between 59°F and95°F. However, during the summer, solar panels can reach temperatures as high as 149°F [1],which can cause the
with the population. However, for the earth to continue to supplyus with the resources, one must cooperate with the environment to ensure adequate resources forus and subsequent generations. It is at this phase where that sustainable engineering becomespertinent. Sustainable engineering is the process of developing or managing systems in such a waythat they use energy and resources sustainably, at a rate that does not harm the natural environmentor future generations' capacity to satisfy their requirements. There are several ways to defineoverall sustainability, but it is frequently seen to contain three key elements: sustainability in termsof the environment, the economy, and society [1].Innumerable nations throughout the world are
Universityrecently received a National Science Foundation (NSF) grant for a Research Experiences forUndergraduates (REU) site. The site recruits only community college students from the greaterBoston area with the goal of preparing students to either join the workforce or transfer to highereducation in engineering.The REU site, called REU Pathways, focuses on smart engineering with four research themes:artificial intelligence and machine learning, smart infrastructure, smart materials, and smarthealth. Each year, the REU site offers 10 local students the opportunity to engage in a 10-weekresearch experience, for a total of 30 students in 3 years. The external evaluator of the programconducted the first formative evaluation after Year 1 of the program
occurred in spring andfall of 2022. During these conversations, administrators were asked to reflect on theimplementation of the e4usa program at their school, their personal experiences with thisprocess, and barriers or suggestions in expanding this program both locally and more broadly.The transcripts of these interviews and focus groups were analyzed using descriptive coding [1]by two researchers. During this process the codes were categorized and then emergent themeswere identified. The findings indicate that administrators have a range of personal experiencewith implementing this engineering program, and that often these experiences were reported as abenefit to the entire school. For instance, administrators often referred to connections made
with respect to product designand development, documentation analysis (course syllabi, course descriptions in academic coursecatalog, textbook) [4, 5] was undertaken. A cross-case comparison [6] is undertaken to be able tocompare and contrast these learning experiences more specifically.Qualitative interviews of teaching facultyThis qualitative set of descriptions are augmented by interviewing faculty of these courses. Aseries of qualitative, semi-structured, reflective and critical incident interviews [7] wereperformed. The interview protocol used is listed below in Table 1. Table 1 Faculty interview protocol 1. Can you tell me about the Product Development classes at Mines? What are your views on
, such as the ASEE Annual Conference andthe Frontiers in Education Conference. Future work will share the extent to which the reviewedliterature discussed interventions to recruit or retain women in the engineering professoriate, andwhether these interventions vary by the type of institution.IntroductionThere have been considerable efforts towards increasing the representation of women in scienceand engineering, which have resulted in an increase in the number of women earning advanceddegrees in these fields, including PhDs. However, these gains have not translated into asignificant increase in the representation of women in the engineering professoriate [1]. Thereare funding opportunities available to institutions who seek to address concerns
enrollment increases in U.S. undergraduate computing departments, representation ofhistorically excluded groups remains low [1]. This lack of diversity is evident in academic andworkplace cultures and manifests in biased and/or harmful technologies that negatively impactand exclude non-dominant identities [2], [3][4]–[6]. The Alliance for Identity-InclusiveComputing Education (AiiCE, pronounced “ace”) aims to increase the entry, retention, andcourse/degree completion rates of high-school and undergraduate students from groups that arehistorically marginalized in computing [7], [8].Our collective impact approach to broaden participation aims to transform high-school andpostsecondary computer science (CS) education by convening national leaders in K
, Abdulkarim S. Ahmed3,5, Fatai O. Anafi1,5,Adrian O. Eberemu4,5, Ayodeji N. Oyedeji1,5,6, Kazeem A. Salami1,6, Akinlolu Akande7, David Dodoo-Arhin8 1 Department of Mechanical Engineering, Ahmadu Bello University, Zaria, Nigeria 2 Department of Educational Foundations and Curriculum, Ahmadu Bello University, Zaria, Nigeria 3 Department of Chemical Engineering, Ahmadu Bello University, Zaria, Nigeria 4 Department of Civil Engineering, Ahmadu Bello University, Zaria, Nigeria 5 Africa Centre of Excellence on New Pedagogies in Engineering Education, Ahmadu Bello University, Zaria, Nigeria 6
the community throughmultiple forms of peer review as well as their individual scholarship. More detailed descriptionof the processes as well as related research questions and synthesis can be found in [1] - [6].The proposal reviewing process incorporates the practice of forming small groups, collaborativecreation of reviews, and joint training. A key difference between the proposal review andmanuscript review experiences is the culminating experience of a mock panel review session forproposal reviewing, wherein participants take on typical panel roles of lead discussant, scribe fornote taking, and prepared reviewer. To facilitate forming full panels, quads were used rather thantriads, consisting of a mentor and three mentees. Quad mentors
. Furthermore, this training collaboration andpartnership provided the foundation and training model for the newly funded NSF EngineeringResearch Center for Precision Microbiome Engineering (PreMiEr) for work in the critical area ofengineering the microbiome in built environments.IntroductionIn the last decade, rapid advances in DNA sequencing technology have transformed thebiological sciences [1]. It has become essential for students training in biological disciplinesrequiring metagenomic and metatranscriptomic analyses to have a working knowledge ofbioinformatics and biostatistics. Conversely, it is critical for students training in bioinformatics,biostatistics, and engineering to understand fundamentals behind the biological systems theymodel and
same issues in the 3D manufacturing simulation while solving the same problemsand proposing qualitative solutions to improve the overall system. Data was collected for theoutside-the-classroom and inside-the-classroom groups in Fall 2021 and Fall 2022, respectively.The results of this study indicated no statistically significant difference in motivation, moduleusability score, engineering identity, self-assessment, or performance between the two groups.1 IntroductionWith the growing prevalence of online learning in today’s society, it has become increasinglyimportant for professors to ensure that lessons and class activities remain engaging andinteractive for their students. Thus, the goal of this study is to compare the results of
: Association of International Educators, and funded by ExxonMobil Corporation. The100,000 Strong in the Americas program is an education initiative created “to increase the annualnumber of U.S. students studying in Latin America and the Caribbean to 100,000 and bring100,000 students to the United States by 2020.” [1]. It does this by fostering new partnershipsamong higher education institutions (HEIs) in the United States and the rest of the WesternHemisphere in student exchange and training programs with focus given to “buildinginstitutional capacity, increasing student mobility, and enhancing regional educationcooperation” [1].The objective of the initial partnership activities was to offer an innovative study abroadopportunity to American students
outcomesirrespective of academic discipline [1-2]. Despite these findings, the existing constructionengineering programs, for the most part, rarely offer a systematic approach to allow students todevelop a deep understanding of the engineering core concepts and discover systematic solutionsfor fundamental problems. Without properly understanding these core concepts, contextualizedin domain-specific settings, students are not able to develop a holistic view that will help them torecognize the big picture and think outside the box to come up with creative solutions for arisingproblems [3]. An essential element to address this need that is missing in traditional content-centered and didactic teaching methods is an opportunity for active exploration and
course, particularly students in marginalized categories in STEM (women,Black, Indigenous, and other People of Color (BIPOC)), and a different approach was needed.One step implemented was to incorporate a project into the course that allowed for moreexperiential learning; other changes included the change-over of instructors and the primary textto Hidden Figures: The American Dream and the Untold Story of the Black WomenMathematicians Who Helped Win the Space Race by Margot Lee Shetterly [1], thus groundingthe topics of the course in a historical biography. For the project, the level and depth of theexperiences needed to be manageable, since the course was focused on the introduction ofaerodynamic topics based on an understanding of fluid
Engineers Targeting the Consequences ofVariabilityAbstractVariability is an unavoidable reality. Physical phenomena such as loading conditions, materialproperties, and human behavior all exhibit variability. Engineers must deal with this variabilitywhen designing solutions. Unfortunately, an extensive body of human subjects research suggeststhat people—including engineers—consistently fail to understand variability. This deficit view ofworking with data is focused on statistical inference; identifying stable patterns in data.However, engineering concerns are not identical to statistical concerns! In this paper, we reportresults from two studies: Qualitative Study 1 of practicing engineers (n=24) identified thebehavior of targeting the consequences
for supporting S-STEM student retention and graduationA recent self-study at Stevens Institute of Technology revealed that our 2nd and 3rd year retention ratesfor low-income STEM students are lower than those for our non-low income STEM student body. Toaddress this finding, the goal of our S-STEM program is to implement evidence-based best practices toincrease retention and graduation rates of low-income academically talented STEM students to levels thatmatch our overall STEM population. To accomplish this goal, we are seeking to: 1. implement best-practices with regards to cohort development and faculty, peer, and alumni mentoring programs to support the ADAPT Scholars, 2. develop targeted enrichment and mentoring activities
Systems course structure that can be beneficial to the implementationof teaching systems thinking framework at the graduate level and the development of systemsthinkers in STEM disciplines.The NRT Integrated FEW Systems course is a 1-credit course, and part of the NSF ResearchTraineeship (NRT) at our university. The NRT prepares master’s students and doctoral studentsfrom STEM disciplines to address the grand challenges of creating food, energy, and watersystems in semi-arid regions that are more resilient. Solutions to resiliency problems oftenrequire systems-thinking frameworks. Systems thinking provides concepts and tools tounderstand complex problems that link society, economy, and the environment at multiplescales.The NRT Integrated FEW
. In the field of engineering, morespecifically, programs are often characterized by their narrow focus on and rigid adherence tostandardized ways of thinking and traditional modes of instruction and assessment [1, 2]. Thisone-size-fits-all model of teaching and learning limits opportunities not only for traditionallearners to engage in interactive learning and creative problem solving but also for studentswhose ways of thinking fall outside of the typical range. While accommodations such asextended time on exams and assistance with notetaking may provide some form of equity forthese students [3-5], they fail to address the underlying mismatch between the unique abilities ofneurodivergent students and the demands of the traditional educational
engineering being amongst the most active participants in embeddingentrepreneurship into curricular and cocurricular activities [1]. Well-developed and theoreticallygrounded educational interventions have been shown to increase entrepreneurial skills andperception among students [1] - [4]. Organizations including the National Science Foundationthrough the Lean Launch Curriculum and I-Corps program, VentureWell through curriculumdevelopment grants and their E-Team program, and the Kern Family Foundation through theKern Entrepreneurial Education Network (KEEN) have provided significant funding to embedand transform entrepreneurial teaching and practice into colleges of engineering [5] - [7]. Thisactivity combines with an added emphasis among
further research into how students learn to frame engineering designproblems and what role framing plays in their professional formation.Introduction and Research PurposeDeveloping the ability to design solutions to problems is key for engineering students learning tobe professionals [1]. Many design experiences happen in the first-year and senior year courses,though increasingly they are being incorporated into courses along the entire program [2]–[4].Instructors must make many decisions when developing design challenges, not all of which areclear. For instance, in senior capstone design, faculty commonly contend with ABETrequirements, ethics, project management, appropriate scope, appropriate technical content, andteam dynamics [5]–[7]. With
, exploration, visualization, pre-processing, feature engineering,feature selection, and data mining 6 . We designed the two types of assignments for each topic andused several datasets published on Kaggle, including data about the Titanic disaster, iris flowers,the US census, carseat sales, advertising, automobile, house rentals, and COVIDvaccinations. Figure 1: A snippet of Google Colab Assignment for the Feature Selection TopicIn the Google Colab Assignments, students were required to write Python code to accomplish agiven task. Each assignment included a template Google Colab Python notebook file, which wasread-shared with students. Data science tasks were decomposed into steps, where each step wasdescribed in a text block, along with
car. While there were challenges and learnings, the integrationwas successful, and the students were able to fully utilize MPADs capabilities with their own RCcar design and demonstrate a self-driving scale car. This article will discuss the implementation,testing details, experiences gained and future work.1. IntroductionRadio Controlled (RC) cars are a great way for prospective engineers to learn real-world technicalskills. The low cost and shorter turnaround time allow for rapid development and testing and caneffectively teach many of the same principles as real cars. At XYZ University, ABC is anintroductory design course where remote-controlled scale cars were designed, analyzed, built, andtested by groups of students. Each group was
with three engineering students and will constitute the base for further researchfocusing on student and professional engagement in design activity across different engineeringfields.IntroductionThis paper presents the initial results from a wider study funded through the NSF RFE program(Award #) exploring engineering students' engagement and motivation in capstone designactivities. While ample research has studied the structures and professional implications ofcapstone design courses, as well as the complex nature of engineering design activity[1]–[3],little research has been done on investigating academic engineering settings, and how and whystudents engage in engineering design in such settings.Our investigation is informed by the
Engineering and the engineering librarian began, withthe intention to examine the impact of intentional information literacy (IL) instruction on first-year engineering students [1]. This collaboration began as a one-time library instruction sessionand blossomed to a 4-part instruction series, including a curriculum re-design and assessment in2021. The engineering librarian visited the engineering faculty’s first-year engineering coursesproviding a series of library instructions, all with scaffolding student learning outcomes, and afinal goal of improving student information literacy skills. These sessions included a scavengerhunt, finding relevant sources, evaluating sources, creating citations, and how to produce anannotated bibliography. The
from Carnegie Mellon University (1993) and ©American Society for Engineering Education, 2023 Understanding Context: Propagation and Effectiveness of the Concept Warehouse in Mechanical Engineering at Five Diverse Institutions and Beyond – Results from Year 4It has been shown that active learning strategies have a positive effect on student retention,engagement, and performance, and can reduce the performance gap for underrepresentedstudents [1-8]. One form of active learning, concept-based learning, is used to “foster students'understanding of deeper concepts rather than just factual knowledge” [3]; the effectiveness ofthis approach has also been well established. Despite the
, including those who remain in theprogram after transfer, are supported with annual scholarships of up to $6000, depending onfinancial need. In addition to scholarship money, students participate in a variety of programactivities throughout the school year in the form of academic seminars, extracurricular events,professional development, faculty mentoring, peer mentoring, academic advising, andundergraduate research opportunities. Noteworthy elements of the program in years three and fourinclude 1) the selection and award of the fourth and final cohort entering the program, 2) atransition of leadership to a new principal investigator for the program at the two-college, and 3)the increase in number of students who have continued with the program
data science micro-credential have unique opportunities to improve critical super-skills, including writtencommunication, project management, iterative thinking, and real-world problem-solving.THE NEED FOR DATA ACUMENEngineering disciplines are increasingly adopting and integrating data science into their problem-solving and experimental approaches [1-3]; yet few engineering programs directly integrate datascience and visualization into their curriculum. In an effort to address this need and respond tothe NASEM report on Data Science for Undergraduates, which calls on institutions to increase“data acumen” through “a range of educational pathways,” [REDACTED] School ofEngineering and Applied Sciences launched an undergraduate micro-credential
University WISE@OU NSF ADVANCE Partnerships for Adaptation, Implementation, and Dissemination (PAID) grant. She is also in charge of faculty mentoring in the School of Engineering and Computer Science at OU. ©American Society for Engineering Education, 2023 Enriching the REU experience through student-led outreach activitiesIntroductionThe benefits of undergraduate student experiences are well known. Students participating inresearch experience for undergraduates (REU) programs report increased skills and self-confidence, a greater sense of empowerment as learners and more motivation to pursue science orengineering careers and graduate degrees [1-8]. REU programs
. ©American Society for Engineering Education, 2023 Students use their lived experiences to justify their beliefs about how they will approach process safety judgmentsIntroduction & BackgroundEngineering judgment is a critical function to the profession, especially in the chemical processindustry, because of potential implications on human safety, economics, and environmentalwellbeing [1]–[3]. Making judgments in contexts with competing criteria (e.g., leadership,production, relationships, safety, spending, time) is inherent to the role of an engineer [4]. Forexample, an incident case study investigated by the US Chemical Safety and HazardInvestigation Board (CSB) describes how an engineers’ judgment when
data or thereliance on information that reflects historical inequalities, can result in flawed AI models. Whenthese models are utilized to make inferences about people, such as facial recognition, predictivepolicing, and credit score assignment, they would lead to decisions which can have negativeimpacts on communities of color even without the programmer’s intention to discriminate [1]–[3]. This has led to the ban on the use of such technologies in a few US cities. To empoweryoung people to thrive in civic life in the era of AI, education must prepare them to understandthe benefits and recognize potential harms of AI so that they can make informed decisions.However, this is not easy. Ethics is complex and requires critical thinking of