curated thelesson plan content to directly relate to their specific context, in collaboration with each other and ourresearch team.We built the curriculum leveraging students’ existing conceptions and misconceptions about AI from priorwork while testing the feasibility of addressing AI learning objectives, as well the AI4K12’s Five Big Ideas,in the broader context of middle school science, technology, engineering, mathematics, and computing(STEM+C) education. Our lessons were scaffolded using the iterative machine learning developmentprocess: 1) data collection and preparation; 2) selecting and training the model; 3) evaluating the models’accuracy; 4) tuning model parameters to improve performance. Each stage of the development processconstituted
. Our expectedoutcome is a stronger sense of community among the students and faculty in the department.IntroductionLearning is a socially situated process optimized when students construct their knowledgetogether [1], [2], [3]. As communities of practice, college learning communities facilitate thedevelopment of collaborative and academic support relationships through ongoing peerinteraction [1]. College students’ sense of community has been directly linked to theirpersistence [4], satisfaction with the university, motivation, and perception of course value [5].Literature also shows that first-year college students with positive changes in universitybelonging have corresponding positive changes in self-perceptions (e.g., academic competence
neurodevelopmental disorders, as well as dyslexia, dysgraphia, and dyscalculia, whichhave been categorized as specific learning disabilities (SLDs) [1, 2]. Historically, research hasfocused on the deficits related to these neurological variations. However, recent research hasreflected a growing interest in understanding the strengths associated with neurodiversity. Agrowing body of literature suggests that neurodivergent individuals may possess traits such asdivergent thinking, risk-taking, creativity, or spatial visualization skills [3-7] that may be assetsin STEM fields. Despite the potential of neurodivergent students to leverage these strengths tocontribute to innovation in their fields, they face a multitude of barriers and difficulties whilenavigating
each. Thescholars were selected from a pool of applicants based on academic talent and financial need. Sixnew scholars replaced the ones who left, with a current total of 32 scholars in the program. Currentscholars identify as 21 male, 11 female, 18 white, 8 Hispanic, 1 Black, and 5 Asian. Programnumbers mirror similar enrollment trends to the College with the following exceptions: higherfemale and students of color enrolled. The first cohort of sixteen scholars have completed sevensemesters at the university and the second cohort of sixteen scholars have completed five semestersat the university. When retention percentages are compared to the general population in the Collegeof Engineering (includes full-time and part-time students; data
coursework pass rates and degree outcomes for underrepresented minority (URM) students orstudents who identify as Black, Hispanic, and/or Native American. The solution is to transition teachingmethods from Transmission, telling students how to do things, to Inquiry, a method that has been shownto improve teaching and learning outcomes by incorporating the prior knowledge, ideas, and lifeexperiences that students bring to the learning process, including unique questions, backgrounds, andconnections they make to content and to the field ([1], [2], [3], [4]). The current proposal, Inquiry Teaching and Learning or ITL, extends the concept of teachingwith Inquiry, a proven approach for closing equity gaps as (i) instructors incorporate Inquiry
for Research on Undergraduate Education at the University of Iowa. His research uses a social psychological lens to explore key issues in higher education, including student success, diversity and equity, admissions, rankings, and quantitative research methodology. ©American Society for Engineering Education, 2023 Sociotechnical systems perspective of underrepresented minority student success at a predominantly white institution Arunkumar Pennathur1*, Priyadarshini Pennathur1, Emily Blosser2, Nicholas Bowman3 1 Department of Industrial, Manufacturing and Systems Engineering, University of Texas at El Paso 2 Department
which an operational measure reflects the concept being investigated (Netemeyer etal., 2003). Articles using standard quantitative research methods were further coded into 12 broadcategories and 73 subcategories. The list of categories, including types of quantitative research,quantitative study design, data source, data type, and quantitative methods used, are summarizedin Table 1. These standard quantitative research articles were further coded for study design, datasource, data type, and quantitative methods used to analyze the data. Study designs includerandomized control trials (RCT), quasi-experimental, assessment validation, and correlational.RCT is defined as an experiment under controlled conditions to demonstrate a known truth
, will be presented in this paper.IntroductionBased on information from the US Census Bureau and the National Science Foundation (NSF),the percentage of underrepresented minorities (URMs) in the US population has grown fromaround 30% to 40% over the past decade [1]. However, URMs still represent only about 14% ofbaccalaureate degrees conferred in engineering, and this percentage has remained relativelyunchanged since 2010 [2]. To enhance the US engineering workforce, it is crucial to promotediversity and inclusion by encouraging and retaining students from URM groups in engineeringmajors. This will bring diverse skills, talent, backgrounds, and viewpoints to the technicalworkplace, which are essential for innovation, productivity, and economic
added design considerations to a finalJamboard for each of the stakeholders that could address some of the potential harms and benefits.Results The instructors worked through this activity step-by-step, explaining the relevantdefinitions and giving the students time to think to themselves and with their group before addingtheir ideas to the Jamboard. One full class session, approximately one hour, was devoted to thisactivity and surrounding discussions. After a Jamboard was populated, the class discussed theresponses and then moved on to the next step. Figure 1 shows the general flow of the Jamboards.Figure 1: Outline of Jamboard flow. Note: Stakeholder 1 is used as an example, but the processwas completed for stakeholders 1, 2, 3, and 4
-forded by this system.1 BackgroundExperimentation is at the core of the scientific method. As we train students to become scientistsand engineers, it is important to also provide training in the scientific method, and a recognitionthat a reliance on empirically demonstrable, replicable results is essential to what we do. This isessential for individuals responsible for designing the cars, airplanes, cellular devices, and energysystems of the future, because these devices must function properly in the physical world. A fullhistory of the scientific method, and its role in the natural sciences is provided in [1]. Other sup-port for using experimentation as a tool for building student knowledge stems from John Dewey[2], as well as the
essentially all chemical engineering departments. In themost recent survey of process control courses conducted through the Chemical EngineeringDivision of the American Society for Engineering Education (ASEE), it was found that about44% of responding process control instructors assess students using some sort of laboratoryactivity [1]. While there is significant evidence to suggest student learning of process controlconcepts is enhanced through hands-on experiences [2], [3], the majority of process controlcourses do not integrate hands-on labs, perhaps due to limited access to process controlequipment. Indeed, the division process control survey concludes that “increasing enrollmentsare challenging the incorporation of physical laboratory exercises
from China. Fan received her MS in Elementary Education Science and a graduate certificate in Curriculum Instruction.Dr. Lisa Y. Flores, University of Missouri, Columbia Lisa Y. Flores, Ph.D. is a Professor of Counseling Psychology at the University of Missouri. She has expertise in the career development of Latino/as and Latino/a immigrant issues and has 80 peer reviewed journal publications, 19 book chapters, and 1 co-e ©American Society for Engineering Education, 2023 Student perceptions of confidence in learning and teaching before and after teaching improvementsAs part of an overall research program investigating the impact of changes in teachingstrategies on
Paper ID #40083Development of a Cobot Lab to Support Next-Generation AppliedEngineering TechnologyJeritt Williams, Illinois State University ©American Society for Engineering Education, 2023 Development of an Industrial Cobot Lab to Support Next- Generation Applied Engineering TechnologistsIntroductionOne of the big ideas of the Industry 4.0 concept is that modern manufacturing is shifting frommass production to customized production, signaling the need to deploy advanced technologiesthat allow the future workforce to work in a flexible, highly productive, and adaptable way [1].To this end, collaborative
scholarships to community college students at IVC preparing totransfer to a 4-year institution (i.e., UCI) and to those who transfer into a declared engineeringmajor at UCI. Thus, the scholarship recipients can receive scholarships for four years acrosstheir tenures at IVC and at UCI. In addition, any unclaimed scholarships at UCI are offered totransfer students from other community colleges.Based on Tinto’s model of student retention [4], the S-STEM program aims to enhance students’access, retention, and success by ensuring that students are academically and socially connectedand integrated [5] through co-curricular activities [6]. Figure 1 highlights program activitiesprovided to scholarship students throughout their tenure in the program. During
Engineering curriculum at our university.1 SignificanceNeed for this course was felt in the department because several research faculty memberswanted to integrate VLSI chips using MCU-based systems. To integrate custom VLSIchips into a system using MCU based control, one method is to build custom printedcircuit board (PCB) to integrate components like opamp and buffers to read outputs from achip. To send inputs to the chip, different pulse generator chips and voltage regulatorscould be integrated on the same PCB. To build a system out of several chips, MCU can beused to calculate inputs to the next chip based on outputs from the previous chip andalgorithm designed in C on the MCU. Therefore, to achieve the requirements of ourdepartment, the course
different sources (e.g., 57% Pell Grants and 46% Federal loans). In addition to that, 75% ofall students had to work part- or full-time to cover their educational expenses. The School ofEngineering (SoE) is currently the second-largest major in terms of student enrollment (5.3% ofthe total campus student population; 1394 total in 20202). Over the past ten years, engineeringenrollment has steadily increased with a recent drop starting in Fall 2019. However, thedemographics of the first-time freshman (noted as 1st Freshman in the following tables) and newundergraduate transfer students present concerning trends. Although there is a consistent increasein enrollment of first-time Hispanic freshmen (see Tables 1 and 2), there is a significantly
practice.Organizations use the Facility Condition Assessment (FCA) for financial and operational strategicplanning. An FCA facilitates; knowledge management of assets under ownership, riskmanagement, capital planning, and real estate decisions [23]. FCA practice includes architectural,mechanical, electrical and structural engineering disciplines towards an integrated engineeringpractice for buildings. Further, the increasingly complex software and digital operation ofbuildings includes software and technological engineering including digital twins, AI interfaces,and Building Information Modeling (BIM), and other built environment advances. [1]. Currently,there is no research associated with engineering education and the practice of FCA’s. As a startingpoint
classroom.Juan Sebastian Andrade, Universidad San Francisco de Quito Juan Sebasti´an Andrade is an undergraduate student in the College of Architecture and Interior Design CADI at Universidad San Francisco de Quito USFQ.Nicole Janine Villac´ıs, Nicole Villac´ıs Nicole is an undergraduate student in the College of Architecture and Interior design CADI at University San Francisco de Quito USFQ. ©American Society for Engineering Education, 2023 WIP: Mind mapping to improve architecture students’ skills in navigating hand-on and lecture-based pedagogies Ignacio Guerra P. 1*, Juan Sebastián Andrade2, Nicole Villacís21 Professor, Universidad San Francisco de Quito USFQ
curriculum and propose how collegeprofessors and high school teachers can work together to strengthen education in data analyticsto better prepare students for the workforce needs.IntroductionJobs with “data” in the title are increasing in popularity with industry shifting to data drivenprocesses and decision-making enabled by new technology. Many universities across the UnitedStates are adding undergraduate and graduate degrees in data science or related fields to help fillthese job demands, but kindergarten to twelfth grade education system is not keeping up [1].Many schools focus on applications and resources, such as Microsoft Access and Excel. Theytend to omit the ideas and theories in their lesson plans [2].To help fix this problem, the
health issues,people from different backgrounds must come together to develop innovative solutions.However, prior to addressing the problem, gaining a basic understanding of cultural differencesand collaborating with different people is an essential skill to develop. This understanding can begained in the classroom to prepare students to be global changemakers and leaders in the globalhealth and technology field. Previous studies have indicated that international service-learningopportunities via study abroad programs contribute to development of intercultural competenciesand promote increased awareness of global health issues [1-4]. Acknowledging theinterdependence of our world, we have designed a “Biomedical Innovations for Global Impact
generating, representing,transforming, and recalling well-structured symbolic or visual images [1] - [2]. Activities such asnavigation, mental rotation, and perception of objects require the use of spatial thinking toaccomplish, as well as topics and procedures in many Science, Technology, Engineering, andMathematics (STEM) fields [3] - [4]. There is uniform agreement on the multidimensionality ofspatial ability; however, the exact number of constructs has not been formally agreed upon [5]. Afew of the more prevalent constructs of spatial ability include mental rotation, spatial orientation,and spatial perception [1], [6]. This paper refers to spatial ability as the quantification ofperformance on a specific construct of spatial thinking.Past
teachers found the experience to bevaluable and listed the people and the research environment as the two most impactful areas of the program.This paper will further discuss the specifics of this novel REU/RET program as well as the outcomes.IntroductionAn REU/RET Site project funded by NSF DMR program has provided research experiences for 14 REUand 6 RET participants in Chemical Engineering, Mechanical Engineering, Biomedical Engineering,Chemistry & Chemical Biology Laboratories of Stevens. 6 REUs and 2 RETs participated virtually the firstyear due to COVID-19 and 8 REUs and 4 RETs participated in-person the second year.The goals of the REU/RET program were four-fold: 1. Create a vibrant research environment for allparticipants that offers
Undergraduate Curricular Complexity for Engineering Student Success (SUCCESS).These activities included data collection, data verification, and drafting an R package to calculatethe curricular complexity metrics. IntroductionStudying pathways into and out of engineering is a classic area of research in engineeringeducation, with studies highlighting various factors that influence a student's decision to pursuethe associated major, stay and complete the degree, or leave; these include personal, social, andinstitutional factors [1]–[3]. With over one million student records, MIDFIELD has been awealth of information for researchers interested in studying these engineering curricularpathways [4]. It is composed of
course description changes for their courses. This research addssignificantly to the literature as there is very little research on the impact of course descriptionson students’ course selection process.1. IntroductionEfforts to broaden the participation of women and people of color within engineering andcomputing education have made incremental improvements in the U.S. but, overall, continue tohave challenges. The under-representation of women and ethno-racial minorities in STEM fieldsis nothing new [1]. Based on a 2021 report, the share of women in computer occupationsdeclined from 30% in 2000 to 25% in 2016 and has remained stable until 2019 [2]. Womencontinue to be vastly underrepresented in the ranks of engineers and architects (15% in 2019
concretes and incorporation of wastes and c ©American Society for Engineering Education, 2023 A PRELIMINARY ANALYSIS OF IDENTITY DEVELOPMENT IN THE FIGURED WORLDS OF HIGH ACHIEVING, LOW INCOME ENGINEERING STUDENTSBackground The ongoing lack of diversity in engineering fields has been described as both: a) acritical issue with a detrimental impact on the United States’ ability to compete with globalinnovation [1] and b) a systemic issue that excludes certain groups of people from opportunitiesfor economic mobility and job security [2]. Historically excluded groups, including women,Black/African Americans, Latino/Hispanic Americans, and economically disadvantagedindividuals, continue to be in
working on technical training and engineering projects funded by the Asian Development Bank, World Bank, and U.S. Agency for International Development (USAID). Countries where he has worked include Armenia, Bangladesh, Bulgaria, China, Egypt, Indonesia, Macedonia, Poland, Romania, and Thailand. In addition, he has taught undergraduate and graduate courses in engineering education for the department. ©American Society for Engineering Education, 2023 The Influence of Role Models on Students’ Interest in STEM (Work-in-Progress)IntroductionSTEM fields drive our nation’s economic growth and competitiveness with new innovativetechnologies [1]. In a projection, it was estimated that from 2019 to 2029 STEM
special category for grant consideration underthe NSF. These are defined as institutions that grant baccalaureate degrees in NSF supportedfields, that have a greater undergraduate enrollment than graduate enrollment, and that awardfewer than 10 doctoral degrees per year in the NSF supported disciplines. One 2013 publicationdetermined there were 2104 PUIs (of which 875 were 2-year institutions) via a cross reference ofthe Carnegie Classification and the NSF Program Databases [1]. Further, this study tabulatesNSF Awards from the BIO Directorate between 2002 and 2012. It was found that PUIs received8% of the awards during this period and 4.9% of the award amount in dollars. This accords withone of the most common publication topics related to PUIs
program has grown over its 28-year history to more than 1300 students peryear, the need for design reviewers has grown with it. This paper describes the system employedto facilitate industry engagement as advisors, mentors, and design reviewers. Results are sharedfrom industry volunteers and student reactions.IntroductionPreparing undergraduates for a successful transition into professional practice is one of the maingoals of engineering education. Prior studies have found employers asserting that undergraduateengineering programs do not adequately prepare early-career engineers for work in engineeringpractice [1] and that engineering curricula can be misaligned with engineering practice in fieldssuch as software engineering [2]. Studies have
. ©American Society for Engineering Education, 2023 Work in Progress: A Pilot Study on Faculty Perceptions of the Impact of COVID-19 on Undergraduate Engineering Student ReadinessIntroductionThe COVID-19 pandemic resulted in widespread school closures across all levels, beginning inMarch 2020. Since then, K–12 schools and higher education institutions across the globe havebeen forced to alter their content delivery in order to maintain safe learning environments andcomply with local, state, and federal regulations [1]. During 2020 and 2021, many K–12 schoolsand higher education institutions implemented virtual learning, lost critical instruction time, andwere unable to cover the same amount of content as a typical pre-COVID-19 school year [2
have been considered as masculine fields.Despite long-standing initiatives to improve gender equity in science, technology,engineering, and mathematics (STEM) field, the underrepresentation of women has persisted[1]. Studies show that although there has been an increase in women earning PhDs incomputer science and engineering, the percentage of female faculty members has notincreased as much [2]. One possible reason could be that demands to publish and teachstudents have created challenges for female faculty of STEM to balance between work andfamily [3]. If such assumption is true, this reality indirectly but undoubtably have pushedback boundaries of the traditional ideology regarding women’s family and work roles andresponsibilities [4] and